เงื่อนไขการค้นหา

ประสบการณ์:

5 ปีขึ้นไป

ทักษะ:

Good Communication Skills, Product Development, Quality Assurance, Architecture, Enthusiastic, Spring Boot, Kubernetes, MongoDB, Docker, Kafka, MySQL, NoSQL, Java

ประเภทงาน:

งานประจำ

• opportunities with innovative digital services. We are blessed to be operating.
• in ASEAN, where we are able to help one of the world's largest populations of.
• underbanked, the people from some of the poorest provinces who are disregarded.
• by traditional banks.
• So many lives are.
• waiting for our help.
• In 2017, we served over 30 million customers.
• in 6 countries (Thailand, Cambodia, Myanmar, Vietnam, Indonesia, Philippines),.
• and processed over 4.5 billion USD. This makes us by far the largest fintech.
• company in SE Asia, and growing quickly.
• As a member of our Software Architect team,.
• you will be helping to bring this vision to reality by leveraging software.
• development practises to build product for millions of Wallet customer. You.
• will be researching, innovating and coding new things. As well as coaching the.
• engineering team to boost up development skills to build product with quality.
• At Ascend, you will be part of an enthusiastic team who are directly.
• responsible for improving the lives of millions.
• Define all aspects of software.
• development, roadmaps, guidelines, standards and communicate to engineers,.
• quality assurance and operation teams.
• Develop high level system design.
• with attention to system integration and microservice architecture.
• Possess an understanding of.
• cloud-native architectures, and be familiar with implementations involving.
• service discovery, circuit breakers, client side load balancing, and other.
• architectural patterns related to elastic infrastructure.
• Partnering with engineers across.
• the organization to leverage software engineering practises, concepts and.
• standards in product development.
• Identify emerging technologies and.
• best practises, research and develop prototypes and promote to production.
• Participate in, and help create, a.
• company culture which attracts, retains, and coaches other.
• engineers/architects.
• The primary.
• deliverable is to build more successful engineers.
• Essential Skills & Prerequisites.
• A positive, can-do attitude, who.
• naturally expresses a high degree of empathy to others.
• Bachelor's Degree in Computer.
• Science or equivalent work experience.
• We are more interested in passion for technology and what you are.
• capable of, than we are academic qualification.
• 5 or more years of relevant work.
• experience.
• Experience in building mission.
• critical applications from scratch, and decomposing monolithic applications.
• into smaller services.
• Good communication skills,.
• abilities to discuss with technical and non-technical people, present ideas and.
• motivate people.
• Experience with a broad mix of.
• Core Java 8,9, Spring Boot, Spring.
• Cloud, NetflixOSS.
• MySQL, PostgreSQL, EnterpriseDB,.
• NoSQL (Cassandra, MongoDB, ELK).
• Messaging or streaming middleware.
• such as RabbitMQ or Kafka.
• Cloud platform such as AWS or GCP.
• Continuous Integration and.
• Delivery.
• Experience with distributed.
• architectures, SOA, microservices and Platform-as-a-Service (PaaS).
• Experience with Agile and Test.
• Driven Development (TDD) methodologies.
• Familiarity with containers and.
• their technologies such as Docker.
• Familiarity with container.
• orchestration technologies such as Mesos and Kubernetes.
• Experience with high availability,.
• high-scale, and performance systems.

ทักษะ:

Kafka, Redis, Automation, English

ประเภทงาน:

งานประจำ

• Design and review middleware architecture aligned with enterprise standards.
• Manage and govern middleware platforms (Web Server, App Server, MQ, Kafka, Redis).
• Oversee outsourcing/vendor teams and coordinate project delivery.
• Improve CI/CD deployment pipelines and automation.
• Monitor system performance, conduct root cause analysis (RCA).
• Manage lifecycle activities (capacity, patching, upgrades, EOS/EOL).
• Ensure system stability, security, and compliance with IT standards.
• Bachelor's degree in Computer Science, IT, Engineering, or related field.
• Hands-on in middleware (IBM MQ, Kafka).
• Experience with Web/App Servers (Apache, Nginx, Tomcat, JBoss, WebSphere, IIS).
• Familiar with Redis, Linux, Docker, Kubernetes.
• Exposure to monitoring tools and CI/CD.
• Middleware architecture & performance tuning.
• Analytical problem-solving.
• Good communication & English.
• Talent Acquisition Department.
• Bank of Ayudhya Public Company Limited.
• 1222 Rama III Rd., Bangpongpang, Yannawa, Bangkok 10120.
• Contact: Talent Acquisition Center: 0 2--- ---- #--183.
• FB: Krungsri Career.
• LINE: Krungsri Career.
• LINKEDIN: Krungsri.
• Applicants can read the Personal Data Protection Announcement of the Bank's Human Resources Function by typing the link from the image that stated below.
• EN (https://krungsri.com/b/privacynoticeen).
• ผู้สมัครสามารถอ่านประกาศการคุ้มครองข้อมูลส่วนบุคคลส่วนงานทรัพยากรบุคคลของธนาคารได้โดยการพิมพ์ลิงค์จากรูปภาพที่ปรากฎด้านล่าง.
• ภาษาไทย (https://krungsri.com/b/privacynoticeth).
• หมายเหตุ ธนาคารมีความจำเป็นและจะมีขั้นตอนการตรวจสอบข้อมูลส่วนบุคคลเกี่ยวกับประวัติอาชญากรรมของผู้สมัคร ก่อนที่ผู้สมัครจะได้รับการพิจารณาเข้าร่วมงานกับธนาคารกรุงศรีฯ.
• Remark: The bank needs to and will have a process for verifying personal information related to the criminal history of applicants before they are considered for employment with the bank.

ประสบการณ์:

5 ปีขึ้นไป

ทักษะ:

Kubernetes, Docker, Kafka

ประเภทงาน:

งานประจำ

• As Head of Platform & Security, you will lead and shape the strategic direction of our platform, building, scaling, and running a world-class cloud infrastructure. You will own the full platform engineering function, bring modern engineering, CD, developer experience and autonomy to all, and you become a strong and vocal leader for all our engineering teams.
• You will own the security function. Your team will actively follow security best practices and topics, and own the security backlog for our organization. You will be su ...
• Lead and grow a high-performing Platform & Security team, setting the vision, culture, and technical direction.
• Own the design, delivery, and evolution of highly available, flexible, secure and cheap infrastructure at scale.
• Enable great developer experience, leveraging trunk-based and continuous delivery pipeline to enable product engineering teams autonomy.
• Leverage extensive automation to embed standards, security and operational excellence into every stage of the development lifecycle.
• Drive a DevSecOps culture where reliability, availability, security are shared responsibilities for all team members.
• Stay actively engaged with security topics day to day - following the threat landscape, reviewing approaches, and remaining hands-on enough to guide the team and make sound technical decisions.
• Build and embed security fundamentals across The 1 Platform, developing and continuously improving generalisable approaches to authorization, authentication, abuse detection, abuse prevention, and auditing.
• Lead platform and product security incident response, ensuring timely detection, escalation, and resolution of security events.
• Oversee security auditing practices for platform infrastructure, ensuring compliance with internal policies and relevant regulatory requirements.
• Establish and govern reusable platform standards, golden paths, and self-service capabilities that accelerate product delivery.
• Define and own the platform and security roadmap, balancing short-term delivery needs with long-term scalability, reliability, security, and cost sustainability.
• Serve as the executive-level technical authority for cloud, Kubernetes, CD, security, and shared infrastructure services.
• Act as a trusted technical advisor and strategic partner to engineering, product, finance, compliance, and executive stakeholders.
• Proactively identify and mitigate scaling, reliability, security, and cost risks before they impact customers.
• Own and drive the organization's FinOps strategy, ensuring effective cloud cost governance and optimization across compute, storage, networking workloads.
• Establish cost visibility, attribution, and accountability frameworks across engineering teams.
• Recruit, develop, and retain senior platform and security engineering talent; build a coaching and mentorship culture within the team.
• Define and report on engineering, security, and operational metrics, communicating platform health, progress, and investment trade-offs to senior leadership.
• Watch your leadership impact a rapidly growing company and the lives of our customers.
• Deep expertise in AWS/GCP, CD Terraform, Docker, Kubernetes, Kafka, API gateways.
• Demonstrated experience leading and scaling platform, security, engineering teams.
• Enthusiast to collaborate with all engineers towards excellence as a team.
• Proven track record of securing cloud environments, API gateways, and platform services at scale, including abuse detection, penetration testing.
• Strong knowledge of network infrastructure and cloud security architecture.
• Treats git as the source of truth for everything - infrastructure, configuration, and policy.
• Holds a BS/BA degree in computer science or a relevant field.
• Has at least 8 years of experience in platform, infrastructure, or DevSecOps/security engineering, with 3+ years in a senior leadership role.
• Strong command of computer science fundamentals and distributed systems principles.
• Passionate about reliability, performance, security, and building platforms that others love to use.
• An exceptional leader and communicator who can inspire engineers, influence executives, and build alignment across diverse stakeholders - from design to compliance.
• Operates with high autonomy and sound judgment in ambiguous, fast-moving environments.
• Thinks at the system, organizational, and business-impact level - not just at the component or team level.
• Brings a product mindset to platform engineering - focused on developer experience, internal adoption, and measurable business outcomes.

ทักษะ:

Architecture, MongoDB, Jenkins, Python, Kafka, MySQL, ETL, English

ประเภทงาน:

งานประจำ

• Databricks on AWS (Unity Catalog, Delta) across Thailand and Indonesia, prod and non-prod workspaces.
• our Python/PySpark (Spark Connect) batch framework pulling from operational databases (Postgres, MySQL, MSSQL, DB2, MongoDB) into Delta - and pushing back out: hash-diff incremental reverse-ETL from the lakehouse into operational Postgres serving live systems, plus Kafka (Avro/Confluent) streams.
• layered medallion architecture for Thailand and Indonesia, tested and CI-gated.
• Data Governance.
• End to End data governance across Thailand and Indonesia.
• Terraform/Terragrunt for infrastructure, Databricks Asset Bundles for jobs and schedules, Jenkins for CI/CD. If it isn't in git, it doesn't exist.
• Design, build, and operate batch and incremental pipelines end-to-end - from source system to the table an underwriter's dashboard reads.
• Extend frameworks rather than write one-offs: when you solve a problem, the next ten sources get the solution for free.
• Own data quality and reliability: tests, monitoring, SLAs, and the root-cause analysis when something breaks at 7am.
• Model insurance data (policies, claims, members, payments) so analysts and data scientists can trust and reuse it.
• Partner directly with data scientists, analysts, and business stakeholders across four business entities and two countries.
• Review more code than you write - including code written by AI. We work AI-assisted by default.
• Mentor other engineers and raise the team's bar for design and operational discipline.
• 5+ years building production data systems, with at least one system you owned end-to-end (design build operate evolve).
• Expert SQL and solid data modeling - dimensional and lakehouse/medallion patterns, and the judgement to know when each applies.
• Strong Python engineering: typed, tested, reviewable code - not just notebooks.
• Production experience with Spark and a lakehouse platform (Databricks strongly preferred) or equivalent scale elsewhere.
• Real understanding of incremental processing: CDC, merge/upsert semantics, idempotency, late-arriving data, backfills.
• Operational depth: you've debugged pipelines under pressure and can tell the story of a root cause you found.
• Fluency with AI coding tools.
• and.
• a track record of catching their mistakes. We don't screen AI out of our hiring process - we screen for people who use it well.
• Clear written and spoken English - it's our working language, and much of our design work happens in documents and PRs.

ประสบการณ์:

5 ปีขึ้นไป

ทักษะ:

Problem Solving, Architecture, Automation, Big Data, Python, Apache, Kafka, Scala, SQL, ETL

ประเภทงาน:

งานประจำ

• We are looking for a visionary and technical.
• Lead Data Engineer.
• to guide and scale our data engineering team within our regional data chapter. In this role, you will own the architecture, evolution, and reliability of our next-generation regional data platform. You will lead a talented team of engineers to optimize our.
• Databricks-driven Data Lakehouse architecture., drive core DataOps practices, implement robust data governance, and collaborate across functional squads to empower advanced analytics, business intelligence, and AI initiatives.
• The ideal candidate is an expert data architect and a proven technical leader who thrives on transforming messy, disconnected datasets into a unified, low-latency, and highly secure data ecosystem.
• Design, build, and continuously optimize our scalable Data Lakehouse platform leveraging Databricks and AWS infrastructure to support global business expansion.
• Lead the design and implementation of highly automated, optimal real-time and batch data extraction, transformation, and loading (ETL/ELT) frameworks. Oversee complex integration with internal microservices, external insurance partners, and third-party APIs.
• Champion engineering best practices by building framework controls, schema registries, automated testing, and CI/CD pipelines for data assets (utilizing tools like dbt and Airflow). Drive initiatives like Databricks serverless migrations and automated performance monitoring.
• Own the end-to-end framework for regional data quality, data observability (e.g., Elementary), data freshness, and data catalogs. Ensure robust data security, compliance (PDPA), and sensitivity tagging across multi-region boundaries.
• Partner with Executives, Product Owners, Software Developers, Data Analysts, and MLOps/Data Science squads to unblock complex technical dependencies, align infrastructure capabilities, and deliver actionable data products.
• Actively research and spearhead proof-of-concepts incorporating advanced technologies like Generative AI/Agentic AI data pipelines (e.g., automated knowledge bases, smart web scraping solutions) into the data ecosystem.
• Manage, mentor, and elevate the technical capabilities of junior and senior data engineers within regional squads, ensuring standardized practices and strong technical ownership.
• 5+ years of experience in Data Engineering, Data Architecture, or a related technical capability role, with at least 2+ years leading engineering teams or core technical projects.
• Deep hands-on experience designing and managing production workloads in.
• Databricks.
• (Delta Lake, Unity Catalog, and serverless compute paradigms).
• Master-level proficiency in.
• SQL.
• (complex query authoring, optimization, and macro writing) and programmatic data engineering in.
• Python.
• or.
• Scala.
• Heavy experience with Big Data open-source frameworks, primarily.
• Apache Spark.
• Expertise with modern cloud data pipeline orchestration tools (e.g.,.
• Airflow., Dagster) and transformation tools like.
• dbt.
• Solid mastery over.
• AWS cloud services.
• infrastructure (S3, EC2, RDS, VPC configurations, network connectivity) integrated within data ecosystems.
• Expert knowledge of transactional databases, distributed storage, message queuing/streaming (e.g., Kafka), and structural patterns for Lakehouse data modeling (Medallion architecture: Bronze, Silver, Gold layers).
• Proven experience performing root cause analysis on production infrastructure failures, handling complex code/infrastructure migrations, and managing data pipeline debts (e.g., optimizing small file storage).
• Bachelor's or Master's degree in Computer Science, Computer Engineering, Information Technology, or a highly quantitative relevant field.

ทักษะ:

System Administration, ElasticSearch, Architecture, Automation, Kubernetes, MongoDB, Python, Docker, DevOps, Apache, Kafka, Redis, Linux, English, Thai

ประเภทงาน:

งานประจำ

• Design, develop, operate, and manage scalable, resilient, and secure Technology Automation Platforms.
• Build, maintain, and optimize hybrid infrastructure environments across cloud and on-premises platforms.
• Develop and manage Infrastructure-as-Code (IaC) solutions to automate platform provisioning, secure software deployment, and operational processes through CI/CD pipelines.
• Ensure platform availability, performance, reliability, and disaster recovery readiness.
• Automate infrastructure deployment, configuration management, monitoring, patch management, upgrades, and security compliance activities.
• Support release management, deployment automation, and production implementation activities.
• Perform root cause analysis, incident management, troubleshooting, and resolution of complex infrastructure and platform issues.
• Design and implement monitoring, logging, observability, and operational excellence solutions.
• Develop recommendations, roadmaps, and implementation plans to enhance platform stability, security, scalability, and efficiency.
• Partner with development, security, architecture, and operations teams to support platform modernization initiatives and cloud transformation programs.
• Contribute technical guidance and best practices while mentoring junior engineers and team members where appropriate.
• You are a highly motivated technology professional with strong experience in platform engineering, infrastructure automation, cloud technologies, and DevOps practices. You possess a growth mindset, enjoy solving complex technical challenges, and are passionate about improving operational efficiency through automation and innovation.
• You thrive in fast-paced enterprise environments and are comfortable working with cross-functional teams across different cultures and geographies. You combine deep technical expertise with strong communication skills and a customer-first approach.
• Your Future at Kyndryl.
• Every position at Kyndryl offers a way forward to grow your career. We have opportunities that you won't find anywhere else, including hands-on experience, learning opportunities, and the chance to certify in all four major platforms. Whether you want to broaden your knowledge base or narrow your scope and specialize in a specific sector, you can find your opportunity here.
• Who You Are.
• You're good at what you do and possess the required experience to prove it. However, equally as important - you have a growth mindset; keen to drive your own personal and professional development. You are customer-focused - someone who prioritizes customer success in their work. And finally, you're open and borderless - naturally inclusive in how you work with others.
• Required Technical and Professional Expertise.
• Linux or Windows System Administration.
• Middleware Administration.
• Cloud Infrastructure.
• DevOps Engineering.
• Container Platforms.
• Infrastructure Automation.
• Experience supporting enterprise-scale or mission-critical production environments.
• MongoDB.
• Redis.
• PostgreSQL.
• Apache Kafka.
• Elasticsearch.
• Loki.
• OpenTelemetry.
• HashiCorp Vault.
• Apache Tomcat.
• ArgoCD.
• Ansible.
• AWS Cloud.
• Terraform.
• API technologies and integration.
• Ansible Playbooks.
• Bash.
• PowerShell.
• Python.
• Experience designing and managing CI/CD pipelines and Infrastructure-as-Code solutions.
• Strong knowledge of cloud-native architecture, implementation, and operational support, with experience in AWS Cloud preferred.
• Strong analytical, troubleshooting, and problem-solving skills.
• Excellent verbal and written communication skills in both Thai and English.
• Ability to work effectively in multicultural and high-pressure environments.
• Preferred Technical and Professional Experience.
• Experience within Banking, Financial Services, Insurance (BFSI), or other highly regulated enterprise environments.
• Experience with containerization and orchestration technologies such as Docker, Kubernetes, or OpenShift.
• Knowledge of Site Reliability Engineering (SRE) practices, observability frameworks, and platform security controls.
• Experience supporting AI-enabled cloud-native platforms and related infrastructure services.
• Bachelor's degree in Computer Science, Information Technology, Engineering, or a related discipline.
• Relevant certifications in AWS, Terraform, DevOps, Cloud, or Infrastructure Automation technologies.
• Being You.
• The "Kyn" in Kyndryl means kinship, which represents the strong bonds we have with each other, our customers and our communities. We focus on ensuring all Kyndryls feel included and we welcome people of all cultures, backgrounds, and experiences. Even if you don't meet every requirement, we encourage you to apply. We believe in growth, and we're excited to see what you can bring. At Kyndryl, employee feedback has told us that our number one driver of employee engagement is belonging. That sense of belonging - being a valued, respected, trusted member of the team - is fundamental to our culture and fueling great experiences for our customers. This dedication to welcoming everyone into our company means that Kyndryl gives you the ability to thrive and contribute to our culture of empathy and shared success. That's The Kyndryl Way.
• What You Can Expect.
• Your career with us isn't just a job - it's an adventure with purpose. We offer a dynamic, hybrid-friendly culture that supports your well-being and empowers you to grow. Our Be Well programs are thoughtfully designed to support your financial, mental, physical, and social health - because we know that when you feel your best, you do your best.
• From your very first day, you'll dive into impactful work that powers the systems our customers rely on every day. You won't just contribute - you'll make a difference, tackling meaningful projects that sharpen your skills and fuel your growth.
• We're here to champion your journey. With powerful tools to chart your career path, personalized development goals aligned with your ambitions, and continuous feedback to keep you inspired and on track, you'll have everything you need to thrive and evolve. You'll develop in-demand skills to grow your career and achieve your ambitions with access to cutting-edge learning opportunities - from certifications with Microsoft, Google, and Amazon to coaching and hands-on experiences. And through it all, you'll be part of a culture that values empathy, restless learning, and a devotion to shared success.
• We want you to thrive here - and we're committed to helping you do just that. Ready to make an impact? Join us and help shape what's next.
• Get Referred!.
• If you know someone that works at Kyndryl, when asked 'How Did You Hear About Us' during the application process, select 'Employee Referral' and enter your contact's Kyndryl email address.

ทักษะ:

Software Development, Financial Reporting, Agile Development, Architecture, Recruitment, Kubernetes, Big Data, YouTube, Kotlin, Hadoop, Apache, Kafka, Scala, Scrum, Java, SQL, English

ประเภทงาน:

งานประจำ

• At Agoda, we bridge the world through travel. Our story began in 2005, when two lifelong friends and entrepreneurs, driven by their passion for travel, launched Agoda to make it easier for everyone to explore the world.
• Today, we are part of Booking Holdings [NASDAQ: BKNG], with a diverse team of over 7,000 people from 90 countries, working together in offices around the globe. Every day, we connect people to destinations and experiences, with our great deals across our millions of hotels and holiday properties, flights, and experiences worldwide.
• No two days are the same at Agoda. Data and technology are at the heart of our culture, fueling our curiosity and innovation. If you're ready to begin your best journey and help build travel for the world, join us.
• Fintech is one of the fastest growing areas in Agoda and we are rapidly expanding our tech team. We work closely with the finance business team and our Fintech product owners to reduce risk, drive efficiencies and move on new market opportunities in this exciting field. We have a wide range of projects from traditional finance to cutting-edge customer fintech. For example, reconciliation using Big Data technologies, growing and optimizing customer payments options, tax calculations in milli-second.
• r.
• esponse.
• times and a mesh of supplier payment options like virtual credit cards. It.
• s a hot field and the perfect mix of data engineering and backend engineering.
• The Opportunity.
• In this role, you will not only develop robust backend systems but also architect and maintain scalable data pipelines and storage solutions that support complex data collection, processing, and analysis. Your dual expertise in backend and data engineering will play a crucial role in optimizing our financial technology solutions and driving informed business decisions through reliable data insights.
• In This Role, You'll Get to.
• Think and own the full life cycle of our products, not just a single piece of code - from business requirements, technology selection, coding standards, agile development, unit and application testing, to CI/CD and proper monitoring.
• Design, develop and maintain platforms and data pipelines across fintech.
• Boost System Performance: build systems that are stable, scalable, and highly performant to meet the dynamic demands of the financial landscape.
• Write great code and help others write great code - mentor people in your team and wider.
• Collaborate with other teams and departments.
• Exceptional problem-solving skills coupled with a strategic mindset are essential. You possess the ability to adapt to new changes and the foresight to anticipate future needs. Leadership at Agoda isn't just managing tasks but inspiring innovation and driving vision into reality.
• Foster Cross-Functional Collaboration: work with diverse teams to drive forward product and technology goals.
• Shape our future team: Play a pivotal role in recruiting and onboarding exceptional talent.
• What You'll Need to Succeed.
• 8+ years.
• of experience with strong proficiency in Java, Kotlin, Scala with a proven track record of developing high-performance applications in production settings. Insightful experience with big data technologies like Hadoop, real-time processing frameworks (e.g., Apache Spark), and advanced knowledge of SQL and data architecture.
• Thinks in systems: their edge cases, failure modes, and life cycles.
• Uses a metrics driven approach and can make informed decisions using data.
• You are passionate about the craft of software development and constantly work to improve your knowledge and skills.
• Experience with Scrum/Agile development methodologies.
• Excellent verbal and written English communication skills.
• Experience with operational excellence and a deep understanding of metrics, alarms and dashboards.
• It's Great If You Have.
• Experience working in a modern FinTech or Payments organization.
• Domain knowledge in any of these areas: financial reconciliation, financial reporting, tax, payout methods like virtual credit cards or customer payments.
• Hands-on experience working with technologies like Spark for data processing, ETLs for data pipelines and queueing systems (Kafka, RabbitMQ).
• Core engineering infrastructure tools like GitLab for source control and Continuous Integration, Kubernetes.
• Experience developing, maintaining and debugging large-scale distributed systems.
• Experience in leading projects, initiatives and/or teams, with full ownership of the systems involved.
• This position is based in Bangkok, Thailand (Relocation Provided).
• Bengaluru.
• Please review our Hiring Process Guidelines before your interview - click.
• here.
• to learn how interviewing at Agoda works.
• Discover more about working at Agoda.
• Agoda Careers.
• https://careersatagoda.com.
• Facebook.
• https://www.facebook.com/agodacareers/.
• LinkedIn.
• https://www.linkedin.com/company/agoda.
• YouTube.
• https://www.youtube.com/agodalife.
• Equal Opportunity Employer.
• At Agoda, we pride ourselves on being a company represented by people of all different backgrounds and orientations. We prioritize attracting diverse talent and cultivating an inclusive environment that encourages collaboration and innovation. Employment at Agoda is based solely on a person's merit and qualifications. We are committed to providing equal employment opportunity regardless of sex, age, race, color, national origin, religion, marital status, pregnancy, sexual orientation, gender identity, disability, citizenship, veteran or military status, and other legally protected characteristics.
• We will keep your application on file so that we can consider you for future vacancies and you can always ask to have your details removed from the file. For more details please read our.
• privacy policy.
• Disclaimer.
• We do not accept any terms or conditions, nor do we recognize any agency's representation of a candidate, from unsolicited third-party or agency submissions. If we receive unsolicited or speculative CVs, we reserve the right to contact and hire the candidate directly without any obligation to pay a recruitment fee.

ประสบการณ์:

1 ปีขึ้นไป

ทักษะ:

Architecture, Kubernetes, Python, Docker, DevOps, Kafka, Java, ETL, English, Thai

ประเภทงาน:

งานประจำ

• We are Thailand's leading provider of On-Demand Services (ODS), Merchant Digital Solutions(MDS), and Payment and Financial Services (PFS). We build technology to help Thai people live better, to empower all local businesses by creating an end-to-end food ecosystem through our channel. Connected consumers, riders, and local businesses and improved the daily life of all parties with restaurants nationwide. And because we are local, we provide the deepest variety and services that are tailor-made for Thai people.
• We are looking for a passionate.
• Data Platform Engineer.
• with a strong software engineering skill to design and manage the development of scalable and reliable data platforms. You will help expand our data platform and enable our product engineering teams and data scientists to enrich the product experience. You'll be working in a fast-paced environment, intensive data users, tackling challenges that impact millions of people on our journey to becoming the No.1 delivery platform in Thailand.
• Define, i.
• mplement, and enforce architecture patterns and design principles to ensure that the platform is scalable, high-performance, reliable, and easy to use.
• Build fault tolerant, self-healing, adaptive and highly accurate data computational and analytic processing applications.
• Develop data models and architecture for end-to-end data pipelines both streaming and batch.
• Optimize and scale our data platform product across multiple teams in LMWN.
• Enable and support data engineers to optimize and improve ETL process by providing monitoring and tracking system.
• Work closely with cross-functional teams, including data scientists, analysts, product managers, and software engineers to drive value for our customers and business partners.
• Manage continuous deployment, monitoring, and maintenance of the data streaming platform in production and testing environments.
• Bachelor's degree or equivalent experience in Computer Science, Information Technology, Engineering or related fields.
• 1+ years of software engineering experience.
• Strong programming skills (Python and/or Java preferred).
• Strong software engineering skills such as Data Structure and Algorithm and System Design.
• Experience with distributed computing technologies, e.g. Kafka, Flink, Spark, Hive, HDFS, Presto, Druid/Imply.
• Experience with data infrastructure components including Kubernetes and Docker.
• Experience with DevOps practices, CI/CD, monitoring, system logging,and SRE mindset.
• Proficient in English and Thai language skills.
• Based in or close to Thailand, or willing to relocate.

ประสบการณ์:

5 ปีขึ้นไป

ทักษะ:

Architecture, Enthusiastic, Automation, Kubernetes, TypeScript, node.js, Python, Docker, DevOps, Kafka, NoSQL

ประเภทงาน:

งานประจำ

• We are looking for an.
• enthusiastic.
• Software Engineer to help build modern applications, internal tools, and automation systems that increasingly leverage AI capabilities.
• You will work primarily as a software engineer - designing APIs, building services, improving system reliability - while also integrating AI models into real features that improve productivity and user experience.
• This role is ideal for someone who is strong in software engineering and excited to apply AI in practical, production ready ways. A successful candidate will develop and enhance a large-scale micro services system. Candidates should expect to work with other team members on designing and implementing core platform components. Candidates should also expect to create unit tests, automated functional tests and load tests for all micro services.
• Design, build, and maintain backend services, APIs, and internal tools.
• Develop clean, maintainable, and well tested code in Python, Node.js/TypeScript, or Go.
• Work with databases, message queues, and cloud infrastructure.
• Participate in code reviews, architecture discussions, and sprint planning.
• Improve system reliability, performance, and observability.
• Help evaluate AI tools, libraries, and model options.
• Collaborate with senior engineers on prompt design and AI workflow improvements.
• Ensure AI usage follows basic governance and data handling guidelines.
• Work closely with product managers to translate requirements into technical solutions.
• Collaborate with AI engineers, architects, and DevOps teams.
• Contribute to documentation, internal knowledge sharing, and continuous improvement.
• Capabilities.
• 2 - 5 years of experience in software engineering.
• Strong skills in.
• Python.
• Node.js/TypeScript., or.
• Go.
• Experience building APIs, microservices, or backend systems.
• Familiarity with relational and NoSQL databases.
• Understanding of cloud platforms (AWS/GCP/Azure) and CI/CD pipelines.
• Good debugging, testing, and problem solving skills.
• Experience with Message Broker systems (RabbitMQ, Kafka, Pub/Sub).
• Experience with containerization (Docker, Kubernetes).
• Experience calling LLM APIs (OpenAI, Anthropic, Google).
• Basic understanding of prompt engineering.
• Understanding of how to integrate AI features into applications.
• Curiosity and willingness to learn new technologies.
• Strong communication and collaboration skills.

ทักษะ:

Architecture, Python, Apache, Kafka, SQL, ETL

ประเภทงาน:

งานประจำ

• Data Engineer is responsible for handling the design and construction of scalable data management system including data storage, data piping, ETL and interfacing with analytics platforms. The jobholder needs to manage all data aspects related to public cloud solution, data lake, data warehouse, reporting, etc. The job holder is also required to participate in gathering data requirements, modelling, and testing as well as define flow of data in a project from input through to storage including interfaces with analytics tools or end user software.
• Key Accountabilities.
• Providing technical guidance related to data architecture, data models and meta data management to IT function and imitative leaders.
• Define and implement data flows through/ and around digital products.
• Participate in data modeling and testing to ensure smooth operations.
• Extract relevant data to solve analytical problems, and ensure development teams have the required data.
• Interact with the initiative leaders to understand all data requirements used for business insights development, and translates into data structures and data model requirements to IT function.
• Develop set processes for data profiling, data quality, data transformation, data mining and data protection.
• Work closely with database teams on topics related to data requirements, cleanliness, accuracy, and etc.,.
• Track analytics impact on business, and provide recommendation for better result.
• Monitor market watch, and provide recommendation to improve efficiency of current projects.
• Professional Knowledge & Experiences.
• Bachelor's Degree in computer science, statistics, or related technical discipline.
• 5+ years' experience with advanced data management system and master data management.
• Experience in developing applications in high volume data staging/ ETL environments and proficient in advanced SQL skills, Python programming and familiar with pandas scikit-learn, matplotlib, numpy, dash library.
• Experience in using Data Analytics products such as BigQuery, Apache Kafka, Apache Airflow, Cloud Storage, etc.
• Clear understanding in different data domains of operations, customers, etc.
• Ability to quickly learn new technologies.
• Additional Desirable Qualification.
• CORE Competencies.

ประสบการณ์:

3 ปีขึ้นไป

ทักษะ:

Microsoft Azure, Python, Apache, Kafka, SQL

ประเภทงาน:

งานประจำ

• You have hands-on experience delivering end-to-end data solutions and a strong foundation in areas such as large-scale data processing, data infrastructure engineering, or data modeling.
• You are proficient in Python and SQL, and apply solid engineering practices including testing, version control, CI/CD, and writing maintainable code.
• You have strong, practical experience with Databricks and Apache Spark, and are capable of building, optimizing, and operating production-grade data pipelines.
• You have experience working with streaming data or event-driven pipelines using Kafka or similar technologies.
• You are familiar with workflow orchestration using tools like Airflow, Azure Data Factory, or similar platforms for scheduling, monitoring, and managing data pipelines.
• You have experience working with cloud-based data platforms, particularly on Microsoft Azure; exposure to AWS is a plus.
• You collaborate effectively across teams, communicate clearly, and use strong data intuition to design valuable analytical or operational solutions.
• You are curious, resilient, and thoughtful - comfortable learning new technologies, embracing feedback, and improving how things are done.

ทักษะ:

Good Communication Skills, Product Development, Architecture, Enthusiastic, Spring Boot, Kubernetes, MongoDB, Kafka, MySQL, NoSQL, Java

ประเภทงาน:

งานประจำ

• In 2017, we served over 30 million customers in 6 countries (Thailand, Cambodia, Myanmar, Vietnam, Indonesia, Philippines), and processed over 4.5 billion USD. This makes us by far the largest fintech company in SE Asia, and growing quickly.
• As a member of our Solutions Architect - Payment Platform, you will be incharge of designing and developing complex payment system for millions of Wallet customers and merchants. At Ascend, you will be part of an enthusiastic team who are directly responsible for improving the lives of millions.
• Define, maintain and communicate architecture blueprint for payment platform.
• Identify and execute key strategy projects to improve services quality, sustainability, extensibility and cost saving.
• Create and maintain documents and technical artifacts which comply to architecture, security and compliance standards.
• Enforce standard documents, policies and provide guidance to development teams.
• Work closely with product, security, technical operations and developers to create design for product development.
• Essential Skills & Prerequisites.
• A positive, can-do attitude, who naturally expresses a high degree of empathy to others.
• Bachelor's Degree in Computer Science or equivalent work experience. We are more interested in passion for technology and what you are capable of, than we are academic qualification.
• 5 or more years of relevant work experience.
• Experience defining, applying and enforcing architecture standards, guidelines and policies to the organization.
• Good communication skills, abilities to discuss with technical and non-technical people, present ideas and motivate people.
• Background knowledge on payment platform and technologies. This includes but not limited to payment processor, acquirer and issuer models.
• Core Java 8-11, Spring Boot, Spring Cloud, NetflixOSS.
• MySQL, PostgreSQL, EnterpriseDB, NoSQL (Cassandra, MongoDB, ELK).
• Messaging or streaming middleware such as RabbitMQ or Kafka.
• Experience with distributed architectures, SOA, microservices and Platform-as-a-Service (PaaS).
• Experience with Agile and Test Driven Development (TDD) methodologies.
• Familiarity with container orchestration technologies such as Mesos and Kubernetes.
• Experience with high availability, high-scale, and performance systems.

ทักษะ:

Good Communication Skills, Architecture, Spring Boot, Kubernetes, MongoDB, Docker, Kafka, MySQL, NoSQL, Java

ประเภทงาน:

งานประจำ

• Summary.
• Accountable for the Architecture.
• Solutions for a given Business Area - how all the components, subsystems,.
• platforms, and integrations fit together to meet the business needs and how the.
• solution fits in with the greater enterprise context.
• Establishes and documents an.
• architectural design that satisfies the solution's architectural requirements.
• Submits Architectural.
• Specifications to the Architecture Review Board and follows the submission to.
• final approval, positively collaborating with the board on all remediation.
• items.
• Acts as the project liaison to the.
• Architecture Review Board.
• Identifies, quantifies, and.
• records Risks and Technical Debt items associated with the project. Ensures.
• that the risks are mitigated appropriately and Technical Debt is addressed as.
• soon as technically and organizationally feasible.
• Ensures that key project delivery.
• team members understand the architecture so that the design and implementation.
• will be consistent with the architecture specification.
• Collaborates with other functions.
• such as product, engineering, security, operations and compliance to.
• orchestrate the creation of a complete solution to a business problem. He is.
• involved in the definition of the solution from the later portion of the.
• Envisioning phase.
• Works on understanding the.
• specific business domain, designing and creating solutions, and making.
• technology decisions for systems of medium complexity.
• Works on understanding the.
• specific business domain, designing and creating solutions, and making.
• technology decisions for systems of medium complexity.
• Provides guidance and mentorship.
• to Technical Architects.
• Essential.
• Knowledge.
• Experience.
• A positive, can-do attitude, who.
• naturally expresses a high degree of empathy to others.
• Bachelor's Degree in Computer Science.
• or equivalent work experience.
• We are.
• more interested in passion for technology and what you are capable of, than we.
• are academic qualification.
• 10 or more years of relevant work.
• experience.
• Experience in building mission.
• critical applications from scratch, and decomposing monolithic applications.
• into smaller services.
• Good communication skills, abilities.
• to discuss with technical and non-technical people, present ideas and motivate.
• people.
• Experience with a broad mix of.
• o.
• Core Java 8,9, Spring Boot, Spring.
• Cloud, NetflixOSS.
• o.
• MySQL, PostgreSQL, EnterpriseDB, NoSQL.
• (Cassandra, MongoDB, ELK).
• o.
• Messaging or streaming middleware such.
• as RabbitMQ or Kafka.
• o.
• Cloud platform such as AWS or GCP.
• o.
• Continuous Integration and Delivery.
• o.
• Experience with distributed.
• architectures, SOA, microservices and Platform-as-a-Service (PaaS).
• o.
• Experience with Agile and Test Driven.
• Development (TDD) methodologies.
• o.
• Familiarity with containers and their.
• technologies such as Docker.
• o.
• Familiarity with container.
• orchestration technologies such as Mesos and Kubernetes.
• o.
• Experience with high availability,.
• high-scale, and performance systems.

ประสบการณ์:

5 ปีขึ้นไป

ทักษะ:

Spring Boot, Kubernetes, MongoDB, Jenkins, Docker, Kafka, MySQL, NoSQL, Java

ประเภทงาน:

งานประจำ

• In 2017, we served over 30 million customers in 6 countries (Thailand, Cambodia, Myanmar, Vietnam, Indonesia, Philippines), and processed over 4.5 billion USD. This makes us by far the largest fintech company in SE Asia, and growing quickly.
• As a member of our esteemed Engineering team, you will be helping to bring this vision to reality by leveraging the most modern cloud-native technologies. At Ascend, you will be part of a team who are directly responsible for improving the lives of millions.
• Lead an agile team of 15-25 engineers to build / develop features and technologies across various aspects of the Java stack, primarily focused on Spring Boot and Spring Cloud / NetflixOSS.
• Possess an understanding of CI/CD deployments on a Kubernetes based platform, both on premises and on a multi-cloud infrastructure. (AWS and GCP).
• Possess an understanding of cloud-native architectures, and be familiar with implementations involving service discovery, circuit breakers, client side load balancing, and other architectural patterns related to elastic infrastructure.
• Establish the development team responsible for creating a company culture which attracts, retains, and coaches other engineers. The primary deliverable of an engineering manager is more senior engineers.
• Conduct design and code reviews.
• Provide specific technology expertise to help drive innovation.
• Identify emerging technologies to create leading edge banking products.
• Partnering with architects and platform engineers to build strategies for execution, drive and facilitate key decisions, and influence others and lead change where appropriate.
• Breaking down product requirements into tickets.
• Facilitating estimates on new product requirements.
• Making sure developer's ticket queues of tickets are full and developers are writing code every day.
• Essential Skills & Prerequisites.
• A positive, can-do attitude, who naturally expresses a high degree of empathy to others.
• Bachelor's Degree in Computer Science or equivalent work experience. We are more interested in passion for technology and what you are capable of, than we are academic qualification.
• 10 or more years of relevant work experience.
• Experience in building mission critical applications from scratch, and decomposing monolithic applications into smaller services.
• Core Java 8,9, Spring Boot, Spring Cloud, NetflixOSS.
• JVM Debugging and Profiling.
• Git Source Control.
• React.
• Kubernetes (or equivalent).
• MySQL, PostgreSQL, EnterpriseDB, NoSQL (Cassandra, MongoDB, ELK).
• RabbitMQ, Kafka.
• AWS & GCP.
• CI/CD (E.G. Fabric8, GitLab or Jenkins).
• Experience with distributed architectures, SOA, microservices and Platform-as-a-Service (PaaS).
• Experience with Agile and Test Driven Development (TDD) methodologies.
• Familiarity with containers and their technologies such as Docker.
• Familiarity with container orchestration technologies such as Mesos and Kubernetes.
• Experience with high availability, high-scale, and performance systems.

ประสบการณ์:

2 ปีขึ้นไป

ทักษะ:

Google Cloud Platform, Google Analytics, TensorFlow, Big Data, Tableau, Python, Hadoop, Kafka, Scala, Java, SQL, English

ประเภทงาน:

งานประจำ

• Develop big data solutions for batch processing and near real-time streaming.
• Retrieve, prepare, and process a rich data variety of data sources.
• Work with business domain experts, data scientists and application developers to identify data that is relevant for analysis.
• Keep abreast of new developments in the big data ecosystem and learn new technologies.
• Triage code problems and data-related issues.
• 3+ years of experience with relational database systems, with expertise in SQL.
• 3+ years of programming experience in Java, Python, Scala or similar.
• 3+ years of experience in coding in data management, data warehousing or unstructured data environments.
• Experience with cloud-based platforms such as AWS, Google Cloud platform or similar.
• Experience building complex pipelines using automated workflow is a plus, e.g. Luigi, Airflow, Oozie or similar.
• Experience with parallel data processing is a plus, e.g. MapReduce, Hadoop, Spark or similar.
• Experience with streaming technologies is a plus, e.g. Kafka, AWS Kinesis or similar.
• Experience with Business Intelligence tools and platforms is a plus, e.g. Tableau, QlikView, PowerBI, Google Analytics or similar.
• Experience with Machine Learning is a plus, e.g. TensorFlow, NumPy, Scikit-Learn, Mahout or similar.
• Good communication in English.

ประสบการณ์:

7 ปีขึ้นไป

ทักษะ:

Software Development, Agile Development, Recruitment, YouTube, Oracle, Kotlin, Kafka, MySQL, NoSQL, Scala, Java, English

ประเภทงาน:

งานประจำ

• At Agoda, we bridge the world through travel. Our story began in 2005, when two lifelong friends and entrepreneurs, driven by their passion for travel, launched Agoda to make it easier for everyone to explore the world.
• Today, we are part of Booking Holdings [NASDAQ: BKNG], with a diverse team of over 7,000 people from 90 countries, working together in offices around the globe. Every day, we connect people to destinations and experiences, with our great deals across our millions of hotels and holiday properties, flights, and experiences worldwide.
• No two days are the same at Agoda. Data and technology are at the heart of our culture, fueling our curiosity and innovation. If you're ready to begin your best journey and help build travel for the world, join us.
• In Agoda's Back-End Engineering department, we build scalable, fault-tolerant systems and APIs that host our core business logic. Our systems cover all major areas of our business: inventory and pricing, product information, customer data, communications, partner data, booking systems, payments, and more. We employ state-of-the-art CI/CD and testing techniques to ensure everything works without downtime. Our systems are self-healing, responding gracefully to extreme loads or unexpected input. We use modern languages like Kotlin and Scala, Data technologies Kafka, Spark, MLflow, Kubeflow, VastStorage, StarRocks and agile development practices. Most importantly, we hire great people from around the world and empower them to be successful.
• The Opportunity.
• Agoda Platform team is looking for developers to work on mission-critical systems that serve millions of users daily. You will have the chance to work on innovative projects, using cutting-edge technologies, and make a significant impact on our business and the travel industry.
• What You'll Need to Succeed.
• 10+ years.
• of experience developing performance-critical applications in a production environment using.
• Scala, Java, Kotlin.
• or relevant modern programming languages.
• Strong RDBMS knowledge (SQL Server, Oracle, MySQL, or other).
• Ability to direct significant company-wide projects and sets technical vision.
• Good command of the English language.
• Deeply involved in making architectural decisions, setting the standard and direction for the team.
• Implement advanced CI/CD pipelines and robust testing strategies to ensure seamless integration, deployment, and high code quality.
• Passion for software development and continuous improvement of your knowledge and skills.
• It's Great if You Have.
• Knowledge in NoSQL, Queueing systems (Kafka, RabbitMQ, ActiveMQ, MSMQ), and Play framework.
• This position is based in Bangkok, Thailand (Relocation Provided).
• Bangkok.
• IT.
• Please review our Hiring Process Guidelines before your interview - click.
• here.
• to learn how interviewing at Agoda works.
• Discover more about working at Agoda.
• Agoda Careers.
• https://careersatagoda.com.
• Facebook.
• https://www.facebook.com/agodacareers/.
• LinkedIn.
• https://www.linkedin.com/company/agoda.
• YouTube.
• https://www.youtube.com/agodalife.
• Equal Opportunity Employer.
• At Agoda, we pride ourselves on being a company represented by people of all different backgrounds and orientations. We prioritize attracting diverse talent and cultivating an inclusive environment that encourages collaboration and innovation. Employment at Agoda is based solely on a person's merit and qualifications. We are committed to providing equal employment opportunity regardless of sex, age, race, color, national origin, religion, marital status, pregnancy, sexual orientation, gender identity, disability, citizenship, veteran or military status, and other legally protected characteristics.
• We will keep your application on file so that we can consider you for future vacancies and you can always ask to have your details removed from the file. For more details please read our.
• privacy policy.
• Disclaimer.
• We do not accept any terms or conditions, nor do we recognize any agency's representation of a candidate, from unsolicited third-party or agency submissions. If we receive unsolicited or speculative CVs, we reserve the right to contact and hire the candidate directly without any obligation to pay a recruitment fee.

ประสบการณ์:

7 ปีขึ้นไป

ทักษะ:

Software Development, Financial Reporting, Agile Development, Architecture, Recruitment, Kubernetes, Big Data, YouTube, Kotlin, Hadoop, Apache, Kafka, Scala, Scrum, Java, SQL, English

ประเภทงาน:

งานประจำ

• At Agoda, we bridge the world through travel. Our story began in 2005, when two lifelong friends and entrepreneurs, driven by their passion for travel, launched Agoda to make it easier for everyone to explore the world.
• Today, we are part of Booking Holdings [NASDAQ: BKNG], with a diverse team of over 7,000 people from 90 countries, working together in offices around the globe. Every day, we connect people to destinations and experiences, with our great deals across our millions of hotels and holiday properties, flights, and experiences worldwide.
• No two days are the same at Agoda. Data and technology are at the heart of our culture, fueling our curiosity and innovation. If you're ready to begin your best journey and help build travel for the world, join us.
• Fintech is one of the fastest growing areas in Agoda and we are rapidly expanding our tech team. We work closely with the finance business team and our Fintech product owners to reduce risk, drive efficiencies and move on new market opportunities in this exciting field. We have a wide range of projects from traditional finance to cutting-edge customer fintech. For example, reconciliation using Big Data technologies, growing and optimizing customer payments options, tax calculations in milli-second.
• r.
• esponse.
• times and a mesh of supplier payment options like virtual credit cards. It.
• s a hot field and the perfect mix of data engineering and backend engineering.
• The Opportunity.
• In this role, you will not only develop robust backend systems but also architect and maintain scalable data pipelines and storage solutions that support complex data collection, processing, and analysis. Your dual expertise in backend and data engineering will play a crucial role in optimizing our financial technology solutions and driving informed business decisions through reliable data insights.
• In This Role, You'll Get to.
• Think and own the full life cycle of our products, not just a single piece of code - from business requirements, technology selection, coding standards, agile development, unit and application testing, to CI/CD and proper monitoring.
• Design, develop and maintain platforms and data pipelines across fintech.
• Boost System Performance: build systems that are stable, scalable, and highly performant to meet the dynamic demands of the financial landscape.
• Write great code and help others write great code - mentor people in your team and wider.
• Collaborate with other teams and departments.
• Exceptional problem-solving skills coupled with a strategic mindset are essential. You possess the ability to adapt to new changes and the foresight to anticipate future needs. Leadership at Agoda isn't just managing tasks but inspiring innovation and driving vision into reality.
• Foster Cross-Functional Collaboration: work with diverse teams to drive forward product and technology goals.
• Shape our future team: Play a pivotal role in recruiting and onboarding exceptional talent.
• What You'll Need to Succeed.
• 8+ years.
• of experience with strong proficiency in Java, Kotlin, Scala with a proven track record of developing high-performance applications in production settings. Insightful experience with big data technologies like Hadoop, real-time processing frameworks (e.g., Apache Spark), and advanced knowledge of SQL and data architecture.
• Thinks in systems: their edge cases, failure modes, and life cycles.
• Uses a metrics driven approach and can make informed decisions using data.
• You are passionate about the craft of software development and constantly work to improve your knowledge and skills.
• Experience with Scrum/Agile development methodologies.
• Excellent verbal and written English communication skills.
• Experience with operational excellence and a deep understanding of metrics, alarms and dashboards.
• It's Great If You Have.
• Experience working in a modern FinTech or Payments organization.
• Domain knowledge in any of these areas: financial reconciliation, financial reporting, tax, payout methods like virtual credit cards or customer payments.
• Hands-on experience working with technologies like Spark for data processing, ETLs for data pipelines and queueing systems (Kafka, RabbitMQ).
• Core engineering infrastructure tools like GitLab for source control and Continuous Integration, Kubernetes.
• Experience developing, maintaining and debugging large-scale distributed systems.
• Experience in leading projects, initiatives and/or teams, with full ownership of the systems involved.
• This position is based in Bangkok, Thailand (Relocation Provided).
• Bengaluru.
• Please review our Hiring Process Guidelines before your interview - click.
• here.
• to learn how interviewing at Agoda works.
• Discover more about working at Agoda.
• Agoda Careers.
• https://careersatagoda.com.
• Facebook.
• https://www.facebook.com/agodacareers/.
• LinkedIn.
• https://www.linkedin.com/company/agoda.
• YouTube.
• https://www.youtube.com/agodalife.
• Equal Opportunity Employer.
• At Agoda, we pride ourselves on being a company represented by people of all different backgrounds and orientations. We prioritize attracting diverse talent and cultivating an inclusive environment that encourages collaboration and innovation. Employment at Agoda is based solely on a person's merit and qualifications. We are committed to providing equal employment opportunity regardless of sex, age, race, color, national origin, religion, marital status, pregnancy, sexual orientation, gender identity, disability, citizenship, veteran or military status, and other legally protected characteristics.
• We will keep your application on file so that we can consider you for future vacancies and you can always ask to have your details removed from the file. For more details please read our.
• privacy policy.
• Disclaimer.
• We do not accept any terms or conditions, nor do we recognize any agency's representation of a candidate, from unsolicited third-party or agency submissions. If we receive unsolicited or speculative CVs, we reserve the right to contact and hire the candidate directly without any obligation to pay a recruitment fee.

ประสบการณ์:

7 ปีขึ้นไป

ทักษะ:

Marketing Strategy, Recruitment, Google Ads, YouTube, DevOps, Kotlin, Kafka, Scala, Java, SQL, English

ประเภทงาน:

งานประจำ

• Design, build, and operate backend services and data pipelines that support performance marketing use cases, including hotel feeds, ad platform integrations, and experiment data.
• Contribute to technical design discussions and drive implementation of production systems running at scale.
• Take part in the full development lifecycle: design, implementation, testing, deployment, and production support.
• Proactively identify and improve system reliability, scalability, data quality, and operational efficiency.
• 5 Write clear, maintainable code and actively participate in code reviews and technical discussions.
• Collaborate with Product, Marketing, and other Engineering teams to clarify requirements and deliver effective solutions.
• Support and improve the team's engineering standards, including CI/CD, monitoring, and documentation.
• Make technical trade-offs across performance, quality, and cost.
• Participate in hiring, onboarding, and knowledge sharing, in line with your experience and interests.
• What You'll need to Succeed.
• Bachelor's degree in computer science, Engineering, or a related field (or equivalent practical experience) 8+ years of experience, with a focus on backend and/or data engineering.
• Strong proficiency in Scala (preferred) or another JVM language (e.g. Java, Kotlin).
• Strong proficiency in SQL.
• Experience building and operating data processing and pipeline systems, e.g. Spark, Kafka, workflow orchestration tools.
• Experience with messaging and asynchronous systems (e.g. RabbitMQ, Kafka).
• Demonstrated track record of driving architectural decisions and improving team-level engineering metrics and system reliability.
• Ability to lead incident response: identify root cause, drive resolution, and communicate clearly.
• Experience working in Agile, cross-functional teams.
• Strong English communication skills, written and verbal.
• An engineering-driven mindset with strong analytical, problem-solving, and systems-thinking abilities.
• Experience mentoring and coaching engineers, with a genuine interest in helping others grow.
• It's great if you have.
• Deep experience with Spark-based distributed data pipelines, including performance tuning and query plan optimization.
• Experience integrating with external APIs or third-party platforms at scale (e.g. Google Ads, Meta), with familiarity in advertising, marketing, or experimentation systems.
• Experience identifying, monitoring, and addressing data quality risks in production, supported by observability and monitoring tooling (e.g. Grafana, Prometheus).
• Experience with CI/CD pipelines and modern DevOps practices.
• A track record of cross-team technical influence - creating reusable patterns or frameworks, and shaping engineering standards beyond your immediate team.
• telaviv.
• Please review our Hiring Process Guidelines before your interview - click.
• here.
• to learn how interviewing at Agoda works.
• Discover more about working at Agoda.
• Agoda Careers.
• https://careersatagoda.com.
• Facebook.
• https://www.facebook.com/agodacareers/.
• LinkedIn.
• https://www.linkedin.com/company/agoda.
• YouTube.
• https://www.youtube.com/agodalife.
• Equal Opportunity Employer.
• At Agoda, we pride ourselves on being a company represented by people of all different backgrounds and orientations. We prioritize attracting diverse talent and cultivating an inclusive environment that encourages collaboration and innovation. Employment at Agoda is based solely on a person's merit and qualifications. We are committed to providing equal employment opportunity regardless of sex, age, race, color, national origin, religion, marital status, pregnancy, sexual orientation, gender identity, disability, citizenship, veteran or military status, and other legally protected characteristics.
• We will keep your application on file so that we can consider you for future vacancies and you can always ask to have your details removed from the file. For more details please read our.
• privacy policy.
• Disclaimer.
• We do not accept any terms or conditions, nor do we recognize any agency's representation of a candidate, from unsolicited third-party or agency submissions. If we receive unsolicited or speculative CVs, we reserve the right to contact and hire the candidate directly without any obligation to pay a recruitment fee.

ประสบการณ์:

7 ปีขึ้นไป

ทักษะ:

Software Development, Agile Development, Architecture, Recruitment, YouTube, Kotlin, Hadoop, Kafka, Scala, Scrum, Java, SQL, English

ประเภทงาน:

งานประจำ

• At Agoda, we bridge the world through travel. Our story began in 2005, when two lifelong friends and entrepreneurs, driven by their passion for travel, launched Agoda to make it easier for everyone to explore the world.
• Today, we are part of Booking Holdings [NASDAQ: BKNG], with a diverse team of over 7,000 people from 90 countries, working together in offices around the globe. Every day, we connect people to destinations and experiences, with our great deals across our millions of hotels and holiday properties, flights, and experiences worldwide.
• No two days are the same at Agoda. Data and technology are at the heart of our culture, fueling our curiosity and innovation. If you're ready to begin your best journey and help build travel for the world, join us.
• This position is based in Bangkok, Thailand (Relocation package is provided).
• In Agoda's Back End Engineering department, we build the scalable, fault-tolerant systems and APIs that host our core business logic. Our systems cover all major areas of our business: inventory and pricing, product information, customer data, communications, partner data, booking systems, payments, and more. These mission-critical systems change frequently with dozens of releases per day, so we must employ state-of-the-art CI/CD and testing techniques in order to make sure everything works without any downtime. We also ensure that our systems are self-healing, responding gracefully to extreme loads or unexpected input. In order to accomplish this, we use state-of-the-art languages like Scala and Go, data technologies like Kafka and Aerospike, and agile development practices. Most importantly though, we hire great people from all around the world and empower them to be successful. Whether it's building new projects like Flights and Packages or reimagining our existing business, you'll make a big impact as part of the Back End Engineering team.
• Lead the development of product features, experiments, technical initiatives, and complex systems.
• Act as a technical leader by shaping architecture decisions, Influence and coach distributed team of engineers.
• Continuously improve system architecture and drive better software design and engineering practices.
• Play a key role in strengthening agile and scrum ways of working.
• Collaborate closely with backend, client-side, and infrastructure teams to deliver the best technical solutions.
• Proactively identify opportunities to enhance products, code quality, and development processes.
• Write high-quality, maintainable code while supporting others in doing the same.
• Influence and drive important technical decisions across the organization.
• 10+ years of experience building performance-critical applications in production environments using JVM tech stack (Java, Scala OR Kotlin).
• Proven experience leading projects, technical initiatives, and/or engineering teams, with full ownership of the systems involved.
• Hands-on experience with data platforms such as SQL, Cassandra, or Hadoop, and a solid understanding of selecting the right data solution for different application needs.
• Strong knowledge of algorithms and data structures.
• Demonstrated excellence in software development and coding.
• A proven ability to improve team productivity and effectiveness through KPI-driven engineering practices.
• Strong software architecture skills, with experience driving architectural decisions within a team.
• A passion for software craftsmanship, continuous learning, and engineering excellence.
• Excellent written and verbal English communication skills.
• What We Offer.
• Visa sponsorship for you and your family.
• Flights, settling-in allowance, and temporary housing.
• Dedicated relocation and settling-in advisors.
• Relocation buddy program and community events.
• Partner & children support (school search, legal, etc.).
• International health insurance.
• Flexible home visit support.
• Hybrid working (Bangkok HQ).
• Professional growth and learning budget.
• Employee resource groups for every culture and background.
• https://careersatagoda.com/agodans-in-bangkok/.
• https://medium.com/agoda-engineering.
• LI-Hybrid.
• LI-ND2 #.
• Stpetersburg.
• Please review our Hiring Process Guidelines before your interview - click.
• here.
• to learn how interviewing at Agoda works.
• Discover more about working at Agoda.
• Agoda Careers.
• https://careersatagoda.com.
• Facebook.
• https://www.facebook.com/agodacareers/.
• LinkedIn.
• https://www.linkedin.com/company/agoda.
• YouTube.
• https://www.youtube.com/agodalife.
• Equal Opportunity Employer.
• At Agoda, we pride ourselves on being a company represented by people of all different backgrounds and orientations. We prioritize attracting diverse talent and cultivating an inclusive environment that encourages collaboration and innovation. Employment at Agoda is based solely on a person's merit and qualifications. We are committed to providing equal employment opportunity regardless of sex, age, race, color, national origin, religion, marital status, pregnancy, sexual orientation, gender identity, disability, citizenship, veteran or military status, and other legally protected characteristics.
• We will keep your application on file so that we can consider you for future vacancies and you can always ask to have your details removed from the file. For more details please read our.
• privacy policy.
• Disclaimer.
• We do not accept any terms or conditions, nor do we recognize any agency's representation of a candidate, from unsolicited third-party or agency submissions. If we receive unsolicited or speculative CVs, we reserve the right to contact and hire the candidate directly without any obligation to pay a recruitment fee.

ทักษะ:

Agile Development, Python, Kafka, Scala, Java, SQL

ประเภทงาน:

งานประจำ

• At Agoda, we bridge the world through travel. Our story began in 2005, when two lifelong friends and entrepreneurs, driven by their passion for travel, launched Agoda to make it easier for everyone to explore the world.
• Today, we are part of Booking Holdings [NASDAQ: BKNG], with a diverse team of over 7,000 people from 90 countries, working together in offices around the globe. Every day, we connect people to destinations and experiences, with our great deals across our millions of hotels and holiday properties, flights, and experiences worldwide.
• No two days are the same at Agoda. Data and technology are at the heart of our culture, fueling our curiosity and innovation. If you're ready to begin your best journey and help build travel for the world, join us.
• In Agoda's Back End Engineering department, we build the scalable, fault-tolerant systems and APIs that host our core business logic. Our systems cover all major areas of our business: inventory and pricing, product information, customer data, communications, partner data, booking systems, payments, and more. These mission-critical systems change frequently with dozens of releases per day, so we must employ state-of-the-art CI/CD and testing techniques in order to make sure everything works without any downtime. We also ensure that our systems are self-healing, responding gracefully to extreme loads or unexpected input. In order to accomplish this, we use state-of-the-art languages like Scala and Go, data technologies like Kafka and Aerospike, and agile development practices. Most importantly though, we hire great people from all around the world and empower them to be successful. Whether it's building new projects like Flights and Packages or reimagining our existing business, you'll make a big impact as part of the Back End Engineering team.
• The Opportunity.
• We are seeking a Principal Engineer to drive innovation across our AI-powered data experience and platform infrastructure.
• This role combines.
• leading the development of AI-powered data querying.
• enabling users to ask business questions in natural language and receive actionable insights -.
• while shaping the evolution of our data quality tools, and analytical engines.
• such as StarRocks.
• As a senior technical leader, you will operate across AI, data infrastructure, and reliability domains, driving high-impact initiatives and serving as a key technical authority across the organization.
• This position is based in Bangkok, Thailand. (Relocation support is provided).
• Lead the development of.
• AI-powered data querying solutions., enabling users to ask business questions in natural language and receive actionable insights.
• Architect and develop scalable data quality tools.
• and frameworks to ensure reliable and trustworthy data.
• Act as a hands-on technical leader, tackling complex challenges.
• across AI query engines, data quality systems, and analytical engines.
• Collaborate with TPMs and stakeholders to define and.
• drive the technical vision and roadmap.
• for AI-driven querying, query engines, and data quality tools.
• Mentor engineers and raise standards.
• across data quality & governance tools, query engines, and the broader data platform.
• 10+ years.
• of experience in software engineering, data engineering, or related fields.
• SQL and large-scale data systems.
• Modern analytical databases / data warehouses.
• (e.g., StarRocks, Snowflake, BigQuery, ClickHouse).
• Backend development.
• (e.g., Python, Java, Scala or similar).
• AI/LLM-based applications.
• (e.g., text-to-SQL, conversational interfaces, cursor, copilots).
• Data platforms or.
• analytical infrastructure at scale.
• Strong understanding of.
• data modeling, query execution, and performance optimization.
• Proven ability to.
• lead cross-team, high-impact technical initiatives.
• Ability to navigate between.
• deep hands-on work and strategic technical leadership.
• Excellent communication skills with both technical and non-technical stakeholders.
• Experience with.
• text-to-SQL systems.
• or AI-driven data interfaces.
• Experience implementing or scaling.
• analytical engines.
• such as StarRocks.
• Background in.
• data observability, quality, or governance frameworks.
• Experience with tools like.
• dbt, Airflow, Spark, or similar.
• Bengaluru.