เงื่อนไขการค้นหา

ประสบการณ์:

2 ปีขึ้นไป

ทักษะ:

Google Cloud Platform, Kubernetes, TypeScript, Javascript, Firebase, node.js, Flutter, UI / UX, Docker, DevOps, MySQL

ประเภทงาน:

งานประจำ

• Skooldio Tech is the technology and product arm of Skooldio Group, a talent solutions organization that uses technology and AI to help companies and their people achieve high performance. Skooldio Group operates under LEARN Corporation, Thailand's leading lifelong learning and education technology company.
• Our core mission is to unleash digital potential. As a trusted partner for digital and AI-driven transformation, we help top-tier organizations build real capabilities in Technology, AI, Data Science, and Digital Literacy, delivering measurable impact ...
• We are looking for ambitious Software Engineers who want to use cutting-edge technology and AI to shape the next chapter of learning and digital innovation in Thailand.
• Join us and help build the next era of learning and talent performance in Thailand.
• What You'll Drive.
• Design, develop, and maintain high-quality, scalable Web and Mobile Applications (covering Frontend, Backend, or Full-Stack) to optimize the end-user learning experience.
• Engage in close and effective cooperation with cross-functional teams, including Product Managers, Engineering, and UX/UI Designers, to ensure successful product delivery from conceptualization through launch.
• Produce clean, efficient, and highly maintainable code. This includes continuous improvement and technical debt resolution for existing systems to ensure robust performance.
• Assume complete technical ownership of core products or significant features, providing sophisticated technical solutions.
• Demonstrate competence in task decomposition, resource allocation, and providing guidance to junior engineering staff.
• Provide mentorship, coaching, and code-quality guidance to junior teammates.
• Lead technical discussions and communicate effectively with cross-functional teams.
• What You'll Bring.
• Bachelor's degree.
• in Computer Engineering, Computer Science, or other fields with a proven background in software engineering experience.
• We review applications based heavily on your real work, portfolio, and problem-solving ability, not just your degree or GPA.
• We are open to new graduates with a strong proven background.
• Prior experience in production code development, participation in competitive hackathons, internships, open-source contributions, university projects, or personal projects is considered a significant advantage.
• We are looking for engineers who can.
• work independently.
• take ownership.
• of their tasks, and.
• proactively find solutions.
• without needing close supervision. We take this point seriously.
• Technical Expertise.
• Proven professional experience in developing functional Web and Mobile Applications.
• (Open to candidates specializing in Frontend, Backend, or Full-Stack.).
• Proficiency or significant familiarity with our core.
• technology stack.
• Expertise in React, JavaScript, TypeScript, Next.js, HTML, CSS, and modern CSS Frameworks (e.g., Tailwind CSS, CSS-in-JS).
• Experience with Node.js, GraphQL, Docker, MySQL, Firebase and TypeScript.
• NestJS.
• Practical experience with React/React Native or Flutter.
• Exposure to Google Cloud Platform (GCP), AWS, and Kubernetes.
• A high capacity for rapid skill acquisition, consistent monitoring of emerging technologies, and a proactive approach to experimentation.
• Analytical and technical troubleshooting skills, coupled with the ability to articulate technical concepts clearly to diverse stakeholders.
• A strong self-driven attitude and a proactive desire to initiate and implement solutions that benefit the product and the engineering team.
• What You'll Get.
• A.
• front-row seat and real, hands-on experience.
• at one of Thailand's leading tech and edtech ecosystems (Skooldio + LEARN Corporation).
• The opportunity to.
• ship products that matter.
• used by real learners and employees in top organizations across Thailand.
• The chance to work closely with.
• experienced engineers, product managers, designers, and data experts., and learn from how they think and build.
• Ownership and autonomy.
• to suggest ideas, experiment, and see your work move from concept to production.
• A learning-focused environment where you're encouraged to.
• grow your skills in software engineering, AI, and product thinking., not just "code to spec.".

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.

ประสบการณ์:

3 ปีขึ้นไป

ทักษะ:

Automation, Kubernetes, Red Hat, Docker, Python

ประเภทงาน:

งานประจำ

• POC & Implement.
• Logging.
• Monitoring.
• Resiliency (HA,DRP,BCP).
• Security.
• Delivery infrastructure as product.
• Document & SupportSkills and Prerequisites.
• Python.
• Automation framework (Ansible, AWX, RunDeck).
• Infrastructure as Code (Terraform).
• CI/CD Pipeline.
• Docker / Kubernetes.
• OpenShift.
• Prometheus.
• Red Hat (IDM, Sattellite, Capsule).
• Software Defined Network.
• Software Defined Storage.
• Secrets Management, Vault.
• Message Queue (RabitMQ, etc.).
• ELK, Grafana.

ประสบการณ์:

3 ปีขึ้นไป

ทักษะ:

Software Development, Architecture, Web Services, Spring Boot, Kubernetes, TypeScript, Javascript, node.js, MongoDB, Jenkins, RESTful, Flutter, UI / UX, Python, Docker, DevOps, Golang, Vue.js, Kafka, MySQL, NoSQL, Redis, .NET, C#

ประเภทงาน:

งานประจำ

• Application Development.
• Design and develop Web and Mobile applications from Figma / Adobe XD designs.
• Build responsive, scalable, and user-friendly interfaces.
• Ensure pixel-perfect UI implementation with UX/UI teams.
• Backend & API Development.
• Design and implement RESTful APIs, Web Services, and Microservices.
• Develop backend systems using modern programming languages and frameworks.
• Support real-time communication using WebSockets where required.
• Work with both relational and NoSQL databases.
• System Design & Architecture.
• Design and maintain scalable system architecture (Monolith or Microservices).
• Design database schemas and optimize queries for performance.
• Apply best practices for performance, scalability, and maintainability.
• Code Quality & Testing.
• Review, refactor, and optimize code for performance and maintainability.
• Conduct code reviews before releasing to QA.
• Write and support automated testing (unit/integration where applicable).
• Troubleshooting & Optimization.
• Identify, troubleshoot, and resolve system issues.
• Analyze logs and system metrics to prevent recurring issues.
• Provide long-term fixes and improvements.
• Collaboration & Delivery.
• Work closely with cross-functional teams (UX/UI, QA, DevOps, Product).
• Deliver tasks on time and communicate progress proactively.
• Participate in team discussions, knowledge sharing, and continuous improvement.
• Bachelor's degree in Computer Science, Computer Engineering, or related fields.
• Junior Level: Fresh graduates are welcome with strong academic performance or internship experience.
• Senior Level: 3-5+ years of experience in software development.
• Core Skills.
• Strong understanding of JavaScript / TypeScript (frontend and backend).
• Experience with RESTful APIs, WebSockets, or Microservices architecture.
• Familiarity with Git and version control workflows (GitHub / GitLab / Bitbucket).
• Strong problem-solving and analytical skills.
• Frontend (FE).
• Frameworks: React, Angular, Next.js, React Native, Flutter (or Vue.js, Svelte).
• UI: HTML5, CSS3 (SASS/LESS), Tailwind CSS, Material-UI.
• State Management: Redux, NgRx, React Query, Apollo Client.
• Tooling: Webpack / Vite, Jest, React Testing Library, Cypress.
• Backend (BE).
• Languages/Frameworks: Java (Spring Boot), Golang, NestJS (TypeScript), C# (.NET Core).
• (or Node.js/Express, Python/Django as alternatives).
• API: RESTful APIs, GraphQL, gRPC, WebSockets.
• Architecture: Microservices, Serverless (AWS Lambda / GCP Cloud Functions).
• DevOps Basics: Docker, Kubernetes, CI/CD (Jenkins, GitHub Actions).
• Messaging: Kafka, RabbitMQ (nice to have).
• Database.
• Relational: PostgreSQL, MySQL.
• NoSQL: MongoDB, Redis.
• Soft Skills.
• Strong communication skills and ability to work with cross-functional teams.
• Can-do" attitude with willingness to learn and adapt.
• Team player with ownership mindset.
• Able to work under deadlines and manage priorities effectively.
• Candidates must be authorized to work in Thailand.
• Visa and work permit sponsorship is not provided for this role.

ประสบการณ์:

1 ปีขึ้นไป

ทักษะ:

Product Owner, Automation, Kubernetes, Docker, DevOps, VMware, Linux

ประเภทงาน:

งานประจำ

• In this role you will play a key part in ensuring the stability and resilience of our platforms.
• We are looking for a team member who thrives dealing with the unknown. You must enjoy continuous learning and researching new solutions for new problems.
• Collaborate with Product Owner and Tech Lead for planning technical activities.
• Collaborate with Development and Operations teams to improve CI/CD standards.
• Partner with development teams to ensure applications are designed with scale, resilience, and performance in mind.
• Participate in system design consulting, platform management production system through application reviews, testing, capacity planning, and performance tuning.
• Continuously seek out innovative ways to speed up and automate all aspects of testing, building, and releasing software project versions and updates through our infrastructure.
• Perform root cause analysis of production errors and resolve technical issues.
• Support team members throughout the cloud operations team.
• Act as a prime escalation point and Tier 2 cloud infrastructure engineer ticket (Freshdesk, Clickup).
• Propose automation ideas and solutions to reduce workload.
• Control internal portal change.
• Maintenance of SLA uptime.
• Study and take tests to acquire relevant certifications for SRE/DevOps.
• Other ad-hoc tasks as assigned by Manager.
• Bachelor's degree in Computer Science, Computer Engineering or related technical major, or commensurate experience.
• 1-5 years in System Engineer, Systems Development, SRE (Site Reliability Engineering), or Resilience Engineering.
• 1-5 years of server systems debug experience; debugging and root causing complex application platforms.
• Exposure to cloud or virtualization, Docker, Kubernetes (about AWS, Azure, Google Cloud, OpenStack, OpenShift, VMware vSphere) is plus.
• Experience with API, OS, Networking troubleshooting (API Request, CPU/Mem profiling, TCP/IP, DNS, routing, switching, firewalls, LAN/WAN or related).
• Interests in contributing towards increasing durability, security, availability and scalability of systems through exploration, diagnosis and remediation.
• Systematic thinking - ability to diagnose interactions between discrete components of system and drive product improvements.
• Familiarity with Linux (Ubuntu, Debian CentOS, RedHat) and Linux namespaces.
• Scripting in Ansible, Shell, Python3, Terraform, Jenkin to automate and operate system.
• Ability to handle and resolve critical customer issues/escalations, including on-call job rotations.
• Hands-on, self-starter and problem-solving attitude.
• Individual thinker and good team player.
• Yearly performance and salary review.
• Bonus based on individual performance and operating results.
• Group Health Insurance.
• Provident Fund.
• Annual Health Check-up.
• Free Fitness membership at NT Tower 2nd floor.
• Office Snacks.
• Annual Holiday Outing.
• Vacation Leave.
• Birthday Leave.
• Training Leave/Course Sponsorships.
• Certification Incentive Program.

ทักษะ:

Architecture, Automation, Kubernetes, TensorFlow, Python, Docker, Java, SQL, C++

ประเภทงาน:

งานประจำ

• การพัฒนา AI & Machine Learning Models.
• Generative AI & Automation Integration.
• MLOps & Infrastructure Management.
• Governance, Security & Compliance.
• การศึกษาและประสบการณ์.
• ปริญญาตรีหรือโท สาขาวิทยาการคอมพิวเตอร์, วิศวกรรมคอมพิวเตอร์, วิทยาการข้อมูล (Data Science), ปัญญาประดิษฐ์ (AI) หรือสาขาที่เกี่ยวข้อง.
• มีประสบการณ์ทำงานในสายงาน AI / Machine Learning Engineer หรือ Data Scientist อย่างน้อย 2-5 ปี.
• หากมีประสบการณ์ในธุรกิจ ธนาคาร, ไฟแนนซ์, สถาบันการเงิน หรือ AMC (บริหารสินทรัพย์) จะได้รับการพิจารณาเป็นพิเศษ.
• ทักษะทางเทคนิค (Technical Skills).
• Programming Languages: Python (เน้นเป็นหลัก), R, C++, Java หรือ SQL.
• AI/ML Frameworks: PyTorch, TensorFlow, Scikit-learn, XGBoost, OpenCV, Hugging Face.
• Generative AI & NLP: LangChain, LlamaIndex, OpenAI API, RAG Architecture, Vector Databases (ChromaDB, Pinecone, Milvus).
• MLOps & Cloud: Docker, Kubernetes, MLflow, Airflow, AWS / Azure / GCP.
• Data Processing: Pandas, NumPy, Spark.

ทักษะ:

Google Cloud Platform, Microsoft Azure, Automation, Kubernetes, TensorFlow, RESTful, Python, Docker, ERP, SQL, OCR

ประเภทงาน:

งานประจำ

• tkc-services.com.
• Turnkey Communication Services Public Company Limited.
• 44/44 Vibhavadi-Rangsit 60 Yake 18-1-2, Talad Bangkhen, Laksi, Bangkok 10210.
• https://www.tkc-services.com.
• https://www.facebook.com/TurnkeyCommunicationServices.

ประสบการณ์:

5 ปีขึ้นไป

ทักษะ:

Docker, DevOps

ประเภทงาน:

งานประจำ

• กำหนดมาตรฐาน กำกับดูแล และบริหารจัดการ การบริการด้านเทคโนโลยีสารสนเทศ.
• ทำหน้าที่เป็นผู้จัดการเหตุการณ์ด้านเทคโนโลยีสารสนเทศ (Incident Manager) สำหรับเหตุการณ์หลัก.
• ทำหน้าที่เป็นผู้จัดการปัญหาด้านเทคโนโลยีสารสนเทศ (Problem Manager).
• ทำหน้าที่เป็นผู้จัดการดูแล Service Level Agreement ให้เป็นไปตามตามนโยบาย.
• กำหนด KPI ที่ชัดเจนสำหรับการวัดประสิทธิภาพและเป็นแนวทางในการดำเนินงานของทีม.
• ทำงานร่วมกับทีมอื่น ๆ ที่เกี่ยวข้อง เช่น ทีมสนับสนุนผู้ใช้, ทีมพัฒนา, ทีมโครงสร้างพื้นฐาน เป็นต้น.
• มอบหมายงาน ติดตามงาน ถ่ายทอดงาน ให้ผู้ใต้บังคับบัญชา.
• สรุปงาน ประเมินประสิทธิภาพของระบบ และการบริการด้านเทคโนโลยีสารสนเทศในภาพรวม ร่วมกับผู้บังคับบัญชา.
• เสนอแนะแนวทางหรือเทคโนโลยีใหม่ ๆ ที่เหมาะสมแก่การปฎิบัติงาน.
• Educations Background(การศึกษา).
• ปริญญาตรีสาขาบริหารธุรกิจ วิทยาการคอมพิวเตอร์ คอมพิวเตอร์ธุรกิจ หรือ สาขาอื่น ๆ ที่เกี่ยวข้อง.
• Professional Experiences(ประสบการณ์การทำงาน).
• มีประสบการณ์ทำงานอย่างน้อย 8 ปี โดยมีประสบการณ์ด้านการบริการด้านเทคโนโลยีสารสนเทศ.
• มีความรู้ และทักษะในการบริหารทีมงาน.
• มีความรู้ด้านการบริการด้านเทคโนโลยีสารสนเทศ (IT Service Management).
• สามารถวิเคราะห์ แก้ปัญหาที่ซับซ้อนได้.
• มีความรู้พื้นฐานของระบบที่เกี่ยวกับกระบวนการทางธุรกิจ เช่น ระบบบัญชี, ระบบการเงิน, ภาษีอากร, ระบบงานขาย, ระบบการวางแผนการผลิต, ระบบโลจิสติก เป็นต้น.
• มีทักษะการวินิจฉัย เพื่อระบุปัญหาฮาร์ดแวร์ ซอฟต์แวร์ และเครือข่าย.
• มีความรู้ทางด้าน IT Infrastructure เช่น System, Network, Docker, VM, DevOps เป็นต้น และเข้าใจพื้นฐานการทำงานของระบบดังกล่าว.

ประสบการณ์:

5 ปีขึ้นไป

ทักษะ:

Docker, DevOps, Linux

ประเภทงาน:

งานประจำ

• กำหนด KPI ที่ชัดเจนสำหรับการวัดประสิทธิภาพและเป็นแนวทางในการดำเนินงานของทีม.
• ฝึกอบรม, ถ่ายทอดความรู้ให้แก่ทีม ให้มีความรู้เพียงพอในการปฏิบัติงานและอัพเดพอยู่เสมอ.
• ทำงานร่วมกับทีมอื่น ๆ ที่เกี่ยวข้อง เช่น ทีมสนับสนุนผู้ใช้, ทีมพัฒนา เป็นต้น.
• จัดทำ Knowledge Base เพื่อเป็นแนวทางป้องกันและแก้ไขปัญหา.
• มอบหมายงาน ติดตามงาน ถ่ายทอดงาน ให้ผู้ใต้บังคับบัญชา.
• วิเคราะห์แก้ไขปัญหาซับซ้อน รุนแรง ที่ส่งผลกระทบในวงกว้างได้อย่างรวดเร็ว.
• สรุปงาน ประเมินประสิทธิภาพของระบบในภาพรวม ร่วมกับผู้บังคับบัญชา.
• เสนอแนะแนวทางหรือเทคโนโลยีใหม่ ๆ ที่เหมาะสมแก่การปฎิบัติงาน.
• Educations Background(การศึกษา).
• ปริญญาตรีสาขาบริหารธุรกิจ วิทยาการคอมพิวเตอร์ คอมพิวเตอร์ธุรกิจ หรือ สาขาอื่น ๆ ที่เกี่ยวข้อง.
• Professional Experiences(ประสบการณ์การทำงาน).
• มีประสบการณ์ทำงานอย่างน้อย 8 ปี.
• มีความรู้พื้นฐานทางเกี่ยวกับกระบวนการทางธุรกิจ เช่น ระบบบัญชี, ระบบการเงิน, ภาษีอากร, ระบบงานขาย, ระบบการวางแผนการผลิต, ระบบโลจิสติก เป็นต้น.
• สามารถวิเคราะห์ แก้ปัญหาและให้คำปรึกษาเกี่ยวกับระบบ/ขั้นตอนการทำงานได้.
• มีทักษะการวินิจฉัย เพื่อระบุปัญหาฮาร์ดแวร์ ซอฟต์แวร์ และเครือข่าย.
• มีความรู้ทางด้าน IT Infrastructure เช่น System, Network, Docker, VM, DevOps เป็นต้น เข้าใจพื้นฐานการทำงานของระบบดังกล่าว.
• มีความรู้ทางด้านการจัดการฐานข้อมูล.
• ความรู้เกี่ยวกับระบบปฏิบัติการและฮาร์ดแวร์: เข้าใจพื้นฐานการทำงานของระบบปฏิบัติการที่พบบ่อย เช่น Windows, macOS, Linux และมีความรู้เกี่ยวกับฮาร์ดแวร์ทั่วไป เช่น CPU, RAM, Storage.
• มีความรู้ และทักษะในการบริหารทีมงาน.

ประสบการณ์:

3 ปีขึ้นไป

ทักษะ:

Docker, DevOps

ประเภทงาน:

งานประจำ

• ตรวจสอบมาตรฐาน กำกับดูแล และบริหารจัดการ การบริการด้านเทคโนโลยีสารสนเทศ.
• ทำหน้าที่เป็นผู้จัดการเหตุการณ์ด้านเทคโนโลยีสารสนเทศ (Incident Manager) สำหรับเหตุการณ์หลัก.
• ทำหน้าที่เป็นผู้จัดการปัญหาด้านเทคโนโลยีสารสนเทศ (Problem Manager).
• ทำหน้าที่เป็นผู้จัดการดูแล Service Level Agreement ให้เป็นไปตามตามนโยบาย.
• กำหนด KPI ที่ชัดเจนสำหรับการวัดประสิทธิภาพและเป็นแนวทางในการดำเนินงานของทีม.
• ทำงานร่วมกับทีมอื่น ๆ ที่เกี่ยวข้อง เช่น ทีมสนับสนุนผู้ใช้, ทีมพัฒนา, ทีมโครงสร้างพื้นฐาน เป็นต้น.
• สรุปงาน ประเมินประสิทธิภาพของระบบ และการบริการด้านเทคโนโลยีสารสนเทศในภาพรวม ร่วมกับผู้บังคับบัญชา และรายงานผลไปยังกลุ่มธุรกิจที่ได้มอบหมาย.
• เสนอแนะแนวทางหรือเทคโนโลยีใหม่ ๆ ที่เหมาะสมแก่การปฎิบัติงาน.
• Educations Background(การศึกษา).
• ปริญญาตรีสาขาบริหารธุรกิจ วิทยาการคอมพิวเตอร์ คอมพิวเตอร์ธุรกิจ หรือ สาขาอื่น ๆ ที่เกี่ยวข้อง.
• Professional Experiences(ประสบการณ์การทำงาน).
• มีประสบการณ์ทำงานอย่างน้อย 5 ปี โดยมีประสบการณ์ด้านการบริการด้านเทคโนโลยีสารสนเทศ.
• มีความรู้ด้านการบริการด้านเทคโนโลยีสารสนเทศ (IT Service Management).
• สามารถวิเคราะห์ แก้ปัญหาที่ซับซ้อนได้.
• มีความรู้พื้นฐานของระบบที่เกี่ยวกับกระบวนการทางธุรกิจ เช่น ระบบบัญชี, ระบบการเงิน, ภาษีอากร, ระบบงานขาย, ระบบการวางแผนการผลิต, ระบบโลจิสติก เป็นต้น.
• มีทักษะการวินิจฉัย เพื่อระบุปัญหาฮาร์ดแวร์ ซอฟต์แวร์ และเครือข่าย.
• มีความรู้ทางด้าน IT Infrastructure เช่น System, Network, Docker, VM, DevOps เป็นต้น และเข้าใจพื้นฐานการทำงานของระบบดังกล่าว.

ประสบการณ์:

7 ปีขึ้นไป

ทักษะ:

Software Development, ElasticSearch, Architecture, Kubernetes, Docker, NoSQL, Java, English, Thai

ประเภทงาน:

งานประจำ

• LINE MAN Wongnai (LMWN) is Thailand's Leading On-Demand Delivery and Lifestyle e-Commerce platform services. 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 LINE MAN and Wongnai. 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.
• The search team at LMWN is building the next-generation of recommendations and personalized to provide the best in class to the merchants and users. We are using modern technologies like machine learning to increase the conversion rate. Our mission is to provide state-of-the-art food and restaurant discovery for users to our merchants.
• We are looking for a Staff Software Engineer to join our team. You will play a key role in building a food and restaurant discovery in our LINE MAN and Wongnai application, facilitating and cultivating the engineer team to be a high performance team.
• Working with talented members from a multi-national team (The primary communication language is English) to build our next-generation discovery, recommendation, and personalization search system.
• Develop and research state-of-the-art algorithms in the fields of relevant search using cutting-edge technology.
• Working with the engineering and infrastructure team in building and scaling reliable back-end search services, as well as constantly monitoring and improving the availability, scalability, latency, and efficiency of our platform.
• Guide and mentor the technical design (coding pattern, algorithms, architecture) by making suggestions from a different angle of view for a proposed engineer's design (at LMWN we use the RFC for formal technical review process).
• Coach the engineer to create task breakdown and implementation plans. Also balancing between business impact, quality, and efficiency (technical development and engineering effort, understanding what is 'good enough).
• Design and plan the rollout in the production environment with minimum risk and the fastest impact. We normally run experiments (A/B testing) for the evaluation of each feature.
• Work closely with the product team to see the opportunities in the future and plan our technical design to support them.
• 7+ years of experience in the software development cycle.
• Proficient in at least one programming language for backend services, preferably Go or Java.
• Strong background knowledge in Elasticsearch.
• Ability to establish a high-performance and self-organized work team with suitable processes and procedures.
• Experience with AWS and/or GCP, SQL and/or NoSQL databases, technologies like RabbitMQ, Docker, Kubernetes, and Solr.
• Growth mindset and willingness to learn and teach from others.
• Strong problem-solving and analytical skills in business requirements and be able to suggest technical solutions or recommended workarounds.
• Strong leadership and coaching skills.
• Strong and clear written and verbal communication skills in both Thai and English.
• It'd be Great if you have: (If any).
• Understanding of basic concepts of data science and/or machine learning concepts.
• Have a curious and innovative attitude.
• Good command of English: TOEIC 800 is a plus.
• Good command of Chinese: HSK4 is a plus.

ประสบการณ์:

5 ปีขึ้นไป

ทักษะ:

Automation, Kubernetes, Python, Docker, Ruby, Thai

ประเภทงาน:

งานประจำ

• LINE MAN Wongnai is Thailand's Leading On-Demand Delivery and Lifestyle e-Commerce platform services. 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 LINE MAN and Wongnai. 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.
• Our Head of Site Reliability Engineering (SRE) is a pivotal leadership role responsi ...
• Develop and execute the SRE strategy to support company goals.
• Lead and mentor the SRE team, fostering a culture of continuous improvement and innovation.
• Collaborate with other engineering and product teams to align on priorities and deliverables.
• Oversee the design, implementation, and maintenance of scalable, reliable infrastructure.
• Ensure the efficient operation of systems, focusing on automation, monitoring, and performance optimization.
• Implement best practices for incident response and management, including root cause analysis and post-mortems.
• Define and monitor key performance indicators (KPIs) and service-level objectives (SLOs).
• Proactively identify and mitigate potential reliability issues before they impact customers.
• Drive the adoption of robust monitoring and alerting solutions to ensure system health and performance.
• Ensure systems are secure and compliant with relevant regulations and standards.
• Collaborate with the security team to implement and maintain best-in-class security practices.
• Act as a liaison between engineering, product, and other key stakeholders.
• Communicate effectively with technical and non-technical audiences, including executive leadership.
• Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
• Minimum of 10 years of experience in software engineering, infrastructure, or operations roles.
• At least 5 years in a leadership position within a high-growth technology company.
• Deep understanding of cloud platforms (AWS, GCP, Azure) and container orchestration (Kubernetes, Docker).
• Proficiency in scripting and programming languages (Python, Go, Ruby, etc.).
• Experience with CI/CD pipelines, infrastructure as code (Terraform, Ansible), and monitoring tools (Prometheus, Grafana, Datadog).
• Strong leadership and people management skills.
• Excellent problem-solving and analytical abilities.
• Effective communication and collaboration skills.

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:

3 ปีขึ้นไป

ทักษะ:

Google Cloud Platform, Software Development, Javascript, node.js, MongoDB, Docker, NoSQL, Linux

ประเภทงาน:

งานประจำ

• Amity Accentix is a leading expert in bot voice technology, dedicated to innovating and enhancing voice-based interactions. As part of Amity Solutions, Amity Accentix combines cutting-edge bot voice solutions with a commitment to excellent customer service, providing transformative experiences in communication technology. Joining Amity Accentix means being part of a team at the forefront of voice tech, where your expertise will help shape the future of AI-driven communication.
• https://www.amitysolutions.com.
• In this role, you'll bridge the gap between technology and business needs helping our clients design, implement, and optimize solutions built with our products and technologies. You'll work closely with engineers, product specialists, and clients to understand technical requirements, provide tailored solutions, and ensure smooth delivery. If you're passionate about JavaScript, problem-solving, and working in a fast-paced environment where every day brings something new we'd love to meet you!.
• As a Senior Solutions Engineer, you will be the key driver in crafting and maintaining the Voice Bot via the Accentix platform, overseeing responsibilities from the intelligent design of the 'conversation flow' to seamlessly integrating the back-end systems.
• This role demands a profound understanding of API processes necessary to connect and unify services with partner systems, ensuring flawless integration. Consequently, you must possess expertise and fluency in back-end development, including the skilled application of frameworks and third-party libraries. This is a pivotal opportunity to collaborate with an ambitious, high-calibre team consisting of dedicated Project Managers, insightful Data Scientists, and expert Tech Leads, all working together to realize the innovations of the future.
• Our team's mission is to design and implement solutions that balance product capability with customer requirements. We foster an environment of innovation, encouraging solutions that push our product's boundaries to fulfill customer expectations.
• Drive the external development lifecycle by transforming customer needs into a highly effective voice bot design. This includes consulting authoritatively on the crucial task of API integration between all involved platforms.
• External project development.
• Call flow development using our own voicebot platform per customer requirement.
• Support post-launch project.
• Collaborate with sales, product, and engineering teams to design and deliver technical solutions for clients.
• Bachelor's degree in Engineering, Computer Science, Information Technology, or Management Information Systems (MIS).
• 3-7 years of experience in software development using.
• JavaScript, preferably Node.js.
• Strong understanding of software development methodologies and code quality best practices.
• Solid knowledge of.
• MongoDB or other NoSQL database.
• technologies.
• Hands-on experience with.
• Nginx.
• or other web server technologies.
• Proficient in.
• Git.
• or other source control management tools.
• Experience working with.
• Linux.
• commands.
• Bonus Skills.
• Familiarity with.
• Google Cloud Platform (GCP).
• and.
• Docker.
• Experience developing.
• Chatbot.
• or.
• Voicebot.
• solutions.
• A.
• creative and innovative mindset.
• toward integrating.
• AI.
• into existing processes.
• Interest or experience in.
• Generative AI (GenAI)., particularly for.
• Voice Bot applications.
• At Amity, we are dedicated to creating a dynamic and supportive work environment that prioritizes growth, learning, and inclusivity. As an equal opportunity employer, we welcome applicants from all backgrounds, embracing diversity in ethnicity, gender, disability, religion, belief, sexual orientation, and age. Join our Bangkok team to enjoy a wide range of benefits as we innovate and grow together.
• Discover more about our team values, benefits, and career opportunities at Amity Solutions Bangkok on our.
• official website.

ประสบการณ์:

3 ปีขึ้นไป

ทักษะ:

Electrical Engineering, Production Engineering, Kubernetes, TensorFlow, Python, Docker

ประเภทงาน:

งานประจำ

• Amity, through its AI Research and Application Center, is advancing the frontier of applied AI research across natural language processing, large language models, agentic systems and generative AI. We build intelligent products that serve millions of users and partner organisations across Southeast Asia and Europe. Our research engineers sit at the intersection of scientific inquiry and production engineering discovering new methods, validating them rigorously, and shipping them into real-world products.
• As an AI Research Engineer at Amity.
• AI Research and Application Center.
• you will own ambitious research goals while ensuring that breakthroughs translate into scalable, production-grade systems.
• Identify high-impact research problems, formulate hypotheses, design experiments and advance the state of the art in areas aligned with the lab's mission.
• Publish findings at top-tier conferences and top-tier leaderboard and contribute to the broader AI research community.
• Bridge the gap between research prototypes and production systems, ensuring novel methods are robust, efficient and deployable at scale.
• Shape the lab's research roadmap and propose initiatives that create measurable business and societal value.
• Mentor junior researchers and engineers, fostering a culture of scientific rigour and collaborative innovation.
• Research & Experimentation.
• large language models., NLP, computer vision, reinforcement learning, generative models, agentic AI or multimodal learning.
• Design and run rigorous experiments including ablation studies, benchmark evaluations and statistical analyses to validate new methods and architectures.
• Survey, reproduce and extend state-of-the-art results from recent literature; maintain a reading group culture within the team.
• Develop novel algorithms, model architectures and training strategies that push performance boundaries on real-world tasks.
• Model Development & Optimisation.
• Design, train and fine-tune large-scale deep learning models (LLMs, diffusion models, multi-modal models) using modern frameworks such as PyTorch, TRL, Unsloth or verl. (Reinforcement Learning Experience is plus).
• Optimise model performance through techniques such as knowledge distillation, quantisation, pruning, mixed-precision training and efficient attention mechanisms.
• Build and improve training infrastructure for distributed, large-scale model training across GPU/TPU clusters.
• Develop evaluation frameworks and metrics to systematically measure model quality, safety and robustness.
• Applied Research & Productionisation.
• Translate research outcomes into production-ready features building proof-of-concepts (PoCs), prototypes and scalable AI services.
• Design and operate RAG pipelines (ingestion, chunking, embeddings, hybrid search, re-rankers) with vector databases (pgvector, Pinecone, Weaviate, OpenSearch) to support retrieval-augmented applications.
• Architect and ship LLM-powered agents and chatbots using agentic patterns (tool/function calling, planning, memory, multi-agent orchestration) with robust safety and fallback mechanisms.
• Collaborate with product and engineering teams to integrate AI capabilities into customer-facing platforms via APIs and microservices.
• Data & Infrastructure.
• Curate, clean and build high-quality datasets for pre-training, fine-tuning and evaluation; design data pipelines for continuous data collection and annotation.
• Implement and maintain scalable ML infrastructure using Docker, Kubernetes, CI/CD and experiment-tracking tools (MLflow, Weights & Biases, or similar).
• Monitor deployed models, design automated retraining pipelines and ensure ongoing model quality through observability and alerting.
• Knowledge Sharing & Community.
• Author technical papers, internal reports and blog posts that communicate research findings to both technical and non-technical audiences.
• Present research at internal seminars, external conferences and community meetups.
• Contribute to open-source projects and public benchmarks to enhance Amity's visibility in the research community.
• Required.
• Master's or Ph.D. in Computer Science, Machine Learning, Statistics, Mathematics, Electrical Engineering or a related quantitative field.
• 3+ years of hands-on experience in AI/ML research or research engineering, with demonstrated ability to design experiments, analyse results and iterate on methods.
• At least one first-author or co-author publication at a recognised venue (NeurIPS, ICML, ICLR, ACL, EMNLP, CVPR, AAAI, or equivalent), or equivalent demonstrated research output (patents, technical reports, significant open-source contributions).
• Strong proficiency with Python and modern deep learning frameworks (PyTorch, JAX, or TensorFlow); solid understanding of model architectures (Transformers, diffusion models, GNNs) and training techniques (RLHF, DPO, SFT, pre-training).
• Ability to write clean, maintainable, production-quality code; familiarity with software engineering best practices (version control, code review, testing, CI/CD).
• Strong grounding in linear algebra, probability, statistics, optimisation and information theory.
• Experience designing agentic architectures (tool/function calling, planning, memory, multi-agent orchestration via frameworks such as LangChain, LlamaIndex, AutoGen or CrewAI).
• Hands-on experience with retrieval-augmented generation pipelines, embedding models, hybrid search and vector databases.
• Experience with large-scale distributed training across multi-GPU/TPU environments (DeepSpeed, FSDP, Megatron-LM or similar).
• Working knowledge of cloud platforms (AWS, GCP or Azure) and ML operations tooling (MLflow, W&B, Kubeflow).
• Active contributions to well-known AI/ML open-source projects or libraries.
• Excellent written and verbal communication skills; ability to distill complex research into clear recommendations for diverse stakeholders.
• At Amity Solutions, we are dedicated to creating a dynamic and supportive work environment that prioritizes growth, learning, and inclusivity. As an equal opportunity employer, we welcome applicants from all backgrounds, embracing diversity in ethnicity, gender, disability, religion, belief, sexual orientation, and age. Join our Bangkok team to enjoy a wide range of benefits as we innovate and grow together.
• Discover more about our team values, benefits, and career opportunities at Amity Solutions Bangkok on our.
• official website.

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.

ประสบการณ์:

3 ปีขึ้นไป

ทักษะ:

Software Development, Architecture, Automation, Kubernetes, TypeScript, Docker, DevOps, Golang

ประเภทงาน:

งานประจำ

• We are seeking a highly skilled and motivated DevSecOps Engineer to join our team. The ideal candidate will have extensive experience in building, deploying, and maintaining applications and infrastructure in a fast-paced environment. You will collaborate with software developers to manage code releases, streamline CI/CD processes, and ensure the scalability and reliability of our systems.
• Infrastructure as Code (IaC): Develop and manage infrastructure using tools like AWS CDK, Terraform, CloudFormation, or Ansible to ensure consistent and scalable infras ...
• Containerization: Manage containerized environments using Docker, Kubernetes, or similar platforms to simplify application deployment and scaling.
• CI/CD Pipeline Management: Design, implement, and maintain continuous integration (CI) and continuous delivery (CD) pipelines to automate and streamline software delivery processes.
• Cloud Infrastructure: Maintain and optimize cloud-based environments such as AWS or Google Cloud, ensuring high availability, security, and performance.
• Monitoring & Logging: Implement monitoring and alerting systems (using tools like Prometheus, Grafana, etc.) to ensure high availability, fault tolerance, and performance across applications and infrastructure.
• Automation & Scripting: Automate routine tasks using scripting languages such as TypeScript, Golang or Bash to reduce manual intervention and enhance productivity.
• Collaboration: Work closely with development to ensure seamless integration, quick resolution of issues, and faster deployment cycles.
• Security & Compliance: Implement best practices for securing infrastructure, data, and applications. Ensure compliance with company policies and regulatory requirements.
• Performance Optimization: Continuously monitor system performance, identifying bottlenecks and improving system performance and scalability.
• Disaster Recovery: Develop and maintain backup, disaster recovery, and business continuity plans to ensure system resilience.
• Experience: 2+ years of experience in DevSecOps or related positions.
• Education: Bachelor's degree in Computer Engineer, Computer Science, Information Technology, or related field (or equivalent work experience).
• CI/CD Tools: Hands-on experience with CI/CD tools such as GitHub Action or ArgoCD.
• Scripting & Automation: Proficiency in scripting languages like TypeScript, Golang, or Bash for automating tasks.
• Cloud Platforms: Strong experience with cloud platforms (AWS, Google Cloud) and their services, including networking, security, and compute resources.
• Infrastructure as Code (IaC): Experience with IaC tools like CDK, CloudFormation, Terraform, or Ansible for automated infrastructure management.
• Containerization: Proficiency in Docker and container orchestration platforms like Kubernetes.
• Version Control: Expertise with Git and version control best practices.
• Monitoring & Logging Tools: Familiarity with tools such as Prometheus, Grafana, Grafana Loki, ELK Stack, or similar for monitoring and logging.
• Networking: Understanding of network protocols, firewalls, load balancing, dns and security practices.
• Strong problem-solving and troubleshooting skills to diagnose and resolve production issues.
• Knowledge of agile methodologies and the software development lifecycle (SDLC).
• Ability to work collaboratively in cross-functional teams and communicate effectively with non-technical stakeholders.
• Experience with microservices architecture and related deployment practices.
• AWS Certified DevOps Engineer, or similar certifications.
• Certified Kubernetes Administrator (CKA) or Kubernetes-related certifications.

ประสบการณ์:

3 ปีขึ้นไป

ทักษะ:

Architecture, Kubernetes, Power BI, Docker, SQL, ETL, English

ประเภทงาน:

งานประจำ

• Responsible for designing, constructing, and maintaining the data architecture and infrastructure that enable the storage, processing, and analysis of large volumes of data which requires a combination of technical skills and proficiency with various software tools to effectively manage and manipulate data.
• Data Pipeline Development: They design, construct, and maintain scalable data pipelines that collect, process, and distribute data across systems.
• Database Management: They manage databases and data warehouses, ensuring efficient d ...
• Data Integration: They integrate data from different sources and systems to provide unified views and ensure data consistency.
• across the organization. This may involve designing APIs, implementing data synchronization processes.
• Bachelor's degree in Computer Science, Computer Engineer, Data Engineering, or a related field. ( A minimum GPA of 2.70 for the Bachelor's degree and 3.30 for the Master's degree.).
• Good command of English, with a minimum TOEIC score of 550 or CEFR B1 level. Candidates without a valid English proficiency test score may take the assessment at a later stage.
• Experience in data engineering, ETL/ELT development, and data pipeline design.
• Strong SQL skills with knowledge of database management and query optimization.
• Hands-on experience with GCP and/or Azure data services.
• Proficiency in Power BI and containerization tools (e.g., Docker, Kubernetes).

ประสบการณ์:

3 ปีขึ้นไป

ทักษะ:

Software Development, Agile Development, Web Services, Kubernetes, RESTful, Docker, Vue.js, .NET, SQL, C#, English

ประเภทงาน:

งานประจำ

• Collaborate with the team to design, develop, implement, and verify both front-end and back-end applications operating in a highly secure data environment.
• Conduct unit testing and other relevant testing techniques to ensure application quality and scalability, in close coordination with the dedicated Solution Architect.
• Implement Continuous Integration (CI) pipelines to maintain and improve ongoing application quality.
• Participate in technical reviews of your own work and that of others to ensure code quality and knowledge sharing.
• Maintain and enhance existing applications, ensuring long-term stability and performance.
• Proactively identify opportunities for application improvements and drive ideas through to implementation.
• Work within an Agile development environment and contribute to the continuous improvement of Agile processes.
• Collaborate closely with the Trust Provisioning Global team based in Hamburg, Germany to develop a unified, standardized technology platform for deployment across global test centers.
• Coordinate with 1st Line and 2nd Line support teams to ensure timely resolution of production incidents.
• Propose and implement new solutions that assist support teams in their daily operations by preventing issues or enabling rapid identification and resolution when problems occur.
• Bachelor's degree in IT, Computer Science, or a related field, with at least 3 years of experience in software development.
• Strong knowledge of C#.NET, design patterns, and object-oriented programming.
• Strong proficiency in front-end development using AngularJS or similar frameworks (e.g., React, Vue.js).
• Solid understanding of JSON and RESTful API services.
• Experience with WCF, web services, and Windows services.
• Proficient in MS SQL Server and basic T-SQL.
• Familiarity with unit testing practices and frameworks.
• Experience with containerization and orchestration tools (e.g., Docker, Kubernetes).
• Commitment to writing clean, maintainable, and high-quality code.
• Experience with Continuous Integration (CI) is a plus.
• Familiarity with Agile methodologies and tools such as TFS is an advantage.
• Strong analytical and problem-solving skills.
• Good awareness of risk and mitigation strategies.
• Ability to multitask and manage multiple priorities effectively.
• Excellent team player with a collaborative mindset.
• Basic understanding of semiconductor technology and design workflows.
• Fluent in English, both written and spoken.
• More information about NXP in Thailand.
• LI-e5f2.

ประสบการณ์:

3 ปีขึ้นไป

ทักษะ:

Architecture, Kubernetes, MongoDB, RESTful, Docker, DevOps, Golang, MySQL, Redis

ประเภทงาน:

งานประจำ

• Design, implement, and maintain scalable, reliable, and high-performance backend services using Go (Golang).
• Develop APIs and microservices that align with product requirements and architectural standards.
• Collaborate with product managers, DevOps engineers, and front-end developers to deliver seamless end-to-end solutions.
• Write clean, efficient, and testable code, adhering to industry best practices and internal coding guidelines.
• Participate in system architecture and design reviews to ensure robustness and scalability.
• Monitor application performance, troubleshoot issues, and continuously improve system reliability.
• Bachelor's degree in Computer Science, Engineering, or a related technical field.
• 3+ years of professional experience in backend development with a strong focus on Golang.
• Solid understanding of Go runtime, goroutines, channels, and memory management.
• Proficiency in building and consuming RESTful and/or gRPC APIs.
• Experience with relational (PostgreSQL, MySQL) and non-relational (MongoDB, Redis) databases.
• Familiarity with Docker, Kubernetes, and cloud environments such as AWS, GCP, or Azure.
• Specific knowledge and skill / ความรู้เฉพาะตำแหน่ง.
• Apply now ".