ทักษะ:

Network Infrastructure

ประเภทงาน:

งานประจำ

• Design, implement, maintain, and optimize network infrastructure and edge network solutions to support.
• Gosoft's IT systems and services.
• Manage and maintain network devices, including routers, switches, firewalls, load balancers, and related.
• network infrastructure.
• Monitor network performance, troubleshoot network issues, and ensure high availability, stability, and.
• reliability of network services.
• Manage network connectivity across data centers, cloud environments, offices, branches, and other.
• related systems.
• Support network implementation, configuration, maintenance, upgrade, and optimization in accordance.
• with enterprise network and security standards.
• Collaborate with Infrastructure, Cloud, Cyber Security, Software Development teams, and external vendors.
• to resolve network-related issues and deliver network solutions.
• Perform network monitoring, incident investigation, root cause analysis, and preventive actions to.
• minimize service disruption.
• Maintain network configuration, topology diagrams, technical documentation, and related operational.
• documents.
• Participate in network projects and support the implementation of new technologies to improve network.
• performance, scalability, and security.
• Follow Gosoft's IT infrastructure, network security, change management, and operational standards.
• Bachelor's degree or higher in Computer Engineering, Computer Science, Information Technology,.
• Network Engineering, or a related field.
• Experience in Network Engineering, Network Infrastructure, or IT Infrastructure.
• Good understanding of TCP/IP, Routing, Switching, VLAN, VPN, DNS, DHCP, and Network Security.
• Experience with network technologies and equipment such as Cisco, Fortinet, Palo Alto, or related.
• technologies.
• Strong troubleshooting and problem-solving skills with the ability to analyze network incidents and.
• identify root causes.
• Good communication and coordination skills with the ability to work effectively with cross-functional.
• teams.
• Network certifications such as CCNA, CCNP, Fortinet, or other relevant certifications will be an.
• advantage.

ทักษะ:

Good Communication Skills, Software Development, DevOps, Thai

ประเภทงาน:

ฝึกงาน

• Learn and upskill alongside experienced Mentors and Gosoft's World-Class Tech Partners.
• Flexible internship formats available: Cooperative.
• Education, Summer Internship, and Project/Research Internship. Minimum duration of 2 months (Start anytime in 2026).
• Data & AI: Artificial Intelligence, Data Science, Data Engineer.
• Dev & Cloud: Software Development, Cloud Engineer, DevOps.
• Infra & Security: System Engineer, Security & Cybersecurity, SOC, Penetration Tester, IT Infrastructure.
• IT Services: IT Support, IT Customer Services.
• Job Type.
• Internship / Cooperative.
• Education (Information Technology).
• Gosoft (Thailand) Co., Ltd. (The TARA Building, Chaeng-wattana).
• Education.
• Currently pursuing a Bachelor's degree (1st to 4th year).
• Open to all majors and universities. Both Thai and International students are welcome.
• Passionate with foundational skills in IT, Digital, Data, or Technology relevant to the selected role.
• Proactive, eager to learn new things, and ready to embrace challenges in the Retail Tech industry.
• Strong team player with good communication skills and a growth mindset.
• Opportunity for All: We embrace Diversity, Equity, and Inclusion (DEI). Students of all backgrounds, nationalities, and diverse groups are highly encouraged to apply based on their potential and determination.
• Having a portfolio or previous projects related to the field is a strong plus.

ทักษะ:

Software Development, Kubernetes, TensorFlow, Apache, DevOps

ประเภทงาน:

งานประจำ

• Design, code, train, test, deploy, and iterate on large-scale, distributed machine learning systems. Collaborate with a multi-functional agile team of data science, UX / UI design, product management, and engineering to build new features / products /services that delight our customers. Work with data scientists and data engineers to create end-to-end machine learning feedback loop and integrate it into various applications. Improve existing machine learning models both in terms of model performance and computing performance. Help drive code review, optimization, testing, and tooli ...
• BS (or higher, e.g., MS, or PhD) in Computer Science, Computer Engineering orrelated technical fields involving Machine Learning or equivalent technical experience Strong analytical and problem-solving skills - Proven software development skills in multiple programming languages (e.g., Python, Golang, C++) Experience with machine learning software packages (e.g., scikit-learn, XGBoost, TensorFlow, Caffe, Theano, Torch) Familiarity with container-based technologies (e.g., Docker, Kubernetes) and DevOps practices (e.g., code review, automated testing, CI / CD, logging, performance monitoring) Strong communication skills & collaborative mindset Experience with data processing tools (e.g., Hadoop, Apache Spark, Apache Beam) and Cloud platforms (e.g., AWS, Azure, GCP) considered a plus.

ประสบการณ์:

5 ปีขึ้นไป

ทักษะ:

Architecture, ISO 27001, Cloud Computing, English, Thai

ประเภทงาน:

งานประจำ

Conduct penetration testing and vulnerability assessments on web, mobile, API, cloud, and internal systems. Simulate real-world cyberattacks to identify exploitable weaknesses. Provide detailed technical reports with actionable remediation guidance to development and infrastructure teams. Collaborate with DevSecOps, Software Engineering, and Cloud teams to integrate security into CI/CD pipelines (shift-left approach). Perform source code reviews and security architecture analysis as needed. Research the latest threats and recommend best practices to protect Gosoft's digital assets. ...

ประสบการณ์:

8 ปีขึ้นไป

ทักษะ:

Data Warehousing, Architecture, Spring Boot, Kubernetes, Leadership Skill

ประเภทงาน:

งานประจำ

• Define target-state architecture and multi-year technology roadmaps for assigned business domains, aligned to CP ALL Group strategy and Gosoft's enterprise architecture principles.
• Establish and maintain architecture standards, reference architectures, design patterns and technology guardrails; keep them current as the landscape evolves.
• Chair or contribute to the Architecture Review Board review and approve solution designs, ensuring compliance with security, data-privacy (PDPA), regulatory and operati ...
• Own the technology radar: evaluate emerging platforms and vendors, run proofs of concept, and make evidence-based adopt / trial / hold recommendations.
• Actively manage technical debt maintain a visible register, quantify its business impact, and secure funding for remediation within the delivery portfolio.
• Solution Design & Delivery.
• Lead end-to-end architecture for complex, cross-domain programmes: requirement analysis, solution options, trade-off analysis, high-level and detailed design, and non-functional requirements.
• Produce clear architecture artefacts context and container diagrams, sequence flows, data models, integration contracts, deployment topologies and Architecture Decision Records (ADRs).
• Define non-functional requirements (availability, scalability, latency, RPO/RTO, observability, security) and validate that delivered solutions meet them under peak retail load.
• Remain hands-on where it matters: prototype critical components, review code and infrastructure-as-code at key checkpoints, and troubleshoot high-severity production architecture issues.
• Partner with delivery leads on estimation, sequencing, dependency management and release strategy; keep architecture decisions in step with delivery reality.
• Retail, Commerce & Enterprise Systems.
• Architect solutions across the retail value chain POS and store systems, omnichannel commerce, order management, delivery and fulfilment, loyalty, payments, merchandising, supply chain and ERP.
• Design for the operational realities of a 15,000-store estate: intermittent connectivity, edge and offline-first store systems, phased nationwide rollout, and zero-downtime migration from legacy platforms.
• Lead modernisation of legacy and monolithic systems, defining pragmatic decomposition, strangler-pattern migration and coexistence strategies.
• Evaluate build-versus-buy decisions and lead technical due diligence on vendor and package solutions, including commercial and lock-in considerations.
• Cloud, Platform & Integration.
• Define cloud and hybrid architecture patterns across public cloud and Gosoft's Tier IV data centre, including workload placement, resilience, disaster recovery and cost optimisation (FinOps).
• Architect cloud-native and microservices solutions using containers and orchestration (Docker, Kubernetes/OpenShift), service mesh, and event-driven patterns with Kafka or equivalent streaming platforms.
• Own the enterprise integration and API strategy API gateway and management, REST/GraphQL/gRPC standards, messaging, and canonical data contracts between domains.
• Embed DevSecOps and platform-engineering practice: CI/CD, infrastructure as code, automated testing, progressive delivery, observability, and security scanning across the SDLC.
• Design for security by default: zero-trust principles, identity and access management, secrets management, encryption, and secure-by-design review of every solution.
• Data & AI.
• Architect enterprise data platforms data lakehouse, warehousing, batch and real-time pipelines, master data management and data governance across retail and customer domains.
• Define architecture for analytics, BI and machine-learning workloads, including MLOps pipelines, feature stores, model serving and monitoring.
• Design and govern the adoption of AI and generative-AI capabilities (RAG, agentic workflows, LLM integration), with clear guardrails for data privacy, cost, evaluation and responsible use.
• Ensure data architecture supports PDPA compliance, data lineage, quality and retention requirements end to end.
• Bachelor's degree or higher in Computer Science, Computer Engineering, Information Technology or a related field.
• 8+ years in software engineering and solution architecture, including at least 3 years in a lead, principal or enterprise architect capacity.
• Demonstrable track record architecting and delivering large-scale, high-availability, high-transaction-volume systems in production.
• Deep expertise across distributed systems, microservices, event-driven architecture, API design and integration patterns.
• Strong hands-on background in at least one major stack (Java/Spring Boot,.NET, Node.js, Go or Python) and the ability to review code credibly.
• Production experience with public cloud (AWS, Azure or GCP), containers and Kubernetes, and infrastructure as code (Terraform, Helm or equivalent).
• Solid grounding in data architecture relational and NoSQL databases, streaming (Kafka), data warehousing/lakehouse, and modern data pipeline design.
• Working knowledge of security architecture, identity and access management, and Thailand's PDPA and related regulatory requirements.
• Proven ability to produce clear architecture documentation and to influence stakeholders from engineer to executive level.
• Professional working proficiency in English and Thai.

ทักษะ:

Good Communication Skills, Digital Marketing, Graphic Design

ประเภทงาน:

ฝึกงาน

• Flexible internship formats available: Cooperative.
• Education and Internship Minimum duration of 4 months (Start anytime in 2026).
• Creative / Graphic / Content.
• VDO & Animation.
• Photo & Food Stylist.
• Media Planner / Digital Marketing.
• Job Type.
• Internship / Cooperative.
• Education.
• CP Tower (Silom) Floor 26.
• Education.
• Currently pursuing a Bachelor's degree (3rd to 4th year).
• Open to all majors and universities.
• Creative, proactive, and passionate about marketing, communications, content creation, graphic design, and digital media, with proficiency in Adobe Creative Suite, Canva, or related creative tools.
• Proactive, eager to learn new things, and ready to embrace challenges in the Retail industry.
• Strong team player with good communication skills and a growth mindset.
• Opportunity for All: We embrace Diversity, Equity, and Inclusion (DEI). Students of all backgrounds, nationalities, and diverse groups are highly encouraged to apply based on their potential and determination.
• Having a portfolio or previous projects related to the field is a strong plus.

ประสบการณ์:

5 ปีขึ้นไป

ทักษะ:

Cloud Computing

ประเภทงาน:

งานประจำ

• Provision and manage AWS services such as EC2, RDS, and S3 using Terraform.
• Configure and set up services using Linux command line.
• Develop and manage AWS Lambda functions for automating tasks such as starting and stopping RDS instances.
• Set up and configure monitoring tools including Zabbix, Dynatrace, and CloudWatch for EC2, RDS, and ECS across all accounts.
• Implement CloudWatch alerts and integrate with AWS SES for email notifications for EC2 and RDS instances.
• Utilize Nagios for additional alerting needs.
• Perform database migrations from on-premise to RDS.
• Migrate RDS databases within the same type and to different types using AWS DMS.
• Implement backup and cloning of RDS databases across accounts.
• Manage and optimize cloud expenses by identifying and terminating unused and over-provisioned resources.
• Use shell scripts and AWS CLI to manage services across all AWS accounts efficiently.
• Proven experience with AWS services including EC2, RDS, S3, Lambda, and CloudWatch.
• Strong proficiency in using Terraform for infrastructure as code.
• Skilled in Linux command line for system configuration and management.
• Experience with monitoring tools such as Zabbix, Dynatrace, and CloudWatch.
• Familiarity with alerting systems including Nagios and AWS SES.
• Hands-on experience with AWS DMS for database migration.
• Strong scripting skills, particularly with shell scripting and AWS CLI.
• Ability to manage and optimize cloud costs effectively.
• Excellent problem-solving skills and attention to detail.
• Strong communication skills and ability to work collaboratively in a team environment.

ประสบการณ์:

5 ปีขึ้นไป

ทักษะ:

Architecture

ประเภทงาน:

งานประจำ

• We are seeking an experienced.
• Solution Architect.
• to lead the design and implementation of scalable technology solutions that support large-scale retail and enterprise platforms.
• In this role, you will work closely with business stakeholders, product leaders, and engineering teams to translate complex business requirements into robust, scalable, and secure system architectures. You will play a.
• key role.
• in shaping the organizations technology landscape and ensuring alignment with enterprise architecture standards and long-term technology strategies.
• Architecture Design & Strategy.
• Lead the.
• design of end-to-end architecture.
• for enterprise and retail technology platforms.
• Define.
• solution architecture strategies, technical roadmaps, and architecture standards.
• across projects.
• Ensure solutions are.
• scalable, secure, reliable, and aligned with enterprise architecture frameworks.
• Technical Leadership.
• Provide.
• technical leadership and architecture guidance.
• to development teams and technical leads.
• Lead.
• architecture design reviews and technical governance processes.
• Establish.
• best practices for system architecture, integration patterns, and cloud adoption.
• Solution Development & Integration.
• Translate complex.
• business requirements into scalable and maintainable technical architectures.
• Guide development teams in.
• architecture implementation, system integration, and technology selection.
• Design solutions that integrate across.
• multiple enterprise platforms, services, and data systems.
• Technology Evaluation & Innovation.
• Evaluate and recommend.
• technology stacks, platforms, and architectural patterns.
• Lead the adoption of.
• modern architectures such as microservices, event-driven systems, and cloud-native solutions.
• Stay updated on.
• emerging technologies and industry trends.
• to drive continuous improvement.
• Cross-functional Collaboration.
• Collaborate with.
• product managers, engineering teams, infrastructure teams, and business stakeholders.
• to ensure alignment between business goals and technology solutions.
• Support.
• strategic technology initiatives and large-scale transformation projects.
• Required.
• Bachelors or Masters degree in.
• Computer Science, Information Technology, Engineering, or related field.
• 8-12+ years of experience.
• in software engineering, system architecture, or solution architecture roles.
• Proven experience designing.
• large-scale enterprise systems and distributed architectures.
• Microservices architecture.
• API design and integration.
• Distributed systems.
• Cloud platforms (AWS, Azure, or GCP).
• Experience designing.
• enterprise application architectures and integration solutions.
• Strong understanding of.
• DevOps practices, CI/CD pipelines, and cloud-native development.
• Excellent communication and stakeholder management skills.
• Preferred.
• Experience designing systems for.
• large-scale enterprise, retail, or digital platform environments.
• Strong knowledge of.
• event-driven architecture, containerization (Docker, Kubernetes), and service orchestration.
• Experience with.
• data platforms, integration frameworks, and enterprise messaging systems.
• Understanding of.
• security, governance, and compliance requirements in system architecture.
• AWS Certified Solutions Architect.
• TOGAF.
• Azure Solutions Architect or similar certifications.

ประสบการณ์:

3 ปีขึ้นไป

ทักษะ:

Analytical Thinking, Data Analysis, TensorFlow, Big Data, Python, Hadoop

ประเภทงาน:

งานประจำ

• At Gosoft (Thailand) Co., Ltd., we are looking for an experienced.
• AI and Data Scientist.
• to lead the development of advanced AI and machine learning solutions that drive innovation and business impact across our digital platforms.
• In this role, you will design and deploy large-scale machine learning systems, develop advanced analytical models, and translate complex data into strategic insights. You will collaborate with cross-functional teams including engineering, product, and business stakeholders to solve high-impact challenges in the retail and e-commerce ecosystem.
• Our team builds data-driven solutions that support platforms such as.
• 7-Eleven Thailand.
• and.
• 7-Delivery., including Search Engines, Recommender Systems, Demand Forecasting, Customer Analytics, and other AI-powered retail solutions.
• Lead the.
• design, development, and deployment of advanced machine learning and AI solutions.
• to solve complex business problems.
• Develop and implement.
• predictive models, recommendation systems, forecasting models, and optimization algorithms.
• Architect and deploy.
• end-to-end machine learning pipelines., from data ingestion and feature engineering to model deployment and monitoring.
• Analyze large-scale structured and unstructured datasets to uncover.
• actionable insights and strategic opportunities.
• Collaborate with engineering, product, and business teams to translate.
• business challenges into scalable data science solutions.
• Drive the adoption of.
• best practices in machine learning, experimentation, and model governance.
• Provide.
• technical leadership and mentorship.
• to data scientists and data engineers.
• Evaluate and integrate.
• state-of-the-art AI/ML techniques.
• including deep learning, large language models, and advanced analytics.
• Work closely with data engineering teams to ensure.
• robust data pipelines and scalable ML infrastructure.
• Communicate insights and technical findings to both.
• technical and executive stakeholders.
• Required.
• Bachelors or Masters degree in.
• Computer Science, Data Science, Statistics, Mathematics, or a related field.
• 6-10+ years of experience.
• in data science, machine learning, or AI-related roles.
• Strong expertise in.
• machine learning, statistical modeling, and advanced analytics.
• Proficiency in.
• Python and data science ecosystems.
• (Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch, etc.).
• Experience designing.
• end-to-end machine learning pipelines and production ML systems.
• Strong experience working with.
• large-scale datasets and big data technologies.
• Ability to translate.
• complex data analysis into business insights and strategic recommendations.
• Strong problem-solving, analytical thinking, and leadership capabilities.
• Excellent communication skills and the ability to present technical concepts to.
• both technical and non-technical stakeholders.
• Preferred.
• Experience in.
• retail, e-commerce, or recommendation systems.
• Experience with.
• search ranking, recommender systems, personalization, or demand forecasting.
• Familiarity with.
• cloud platforms.
• such as AWS, Azure, or GCP.
• Experience with.
• big data technologies.
• such as Spark, Hadoop, or Databricks.
• Experience deploying models using.
• MLOps frameworks and tools.
• Knowledge of.
• deep learning, NLP, or generative AI.

ประสบการณ์:

5 ปีขึ้นไป

ทักษะ:

User Experience (UX), Google Analytics, Product Owner, Architecture, Firebase, Tableau, Android, UI / UX, Scrum, iOS

ประเภทงาน:

งานประจำ

• Take the helm of our flagship digital product and shape the future of retail technology. As the Product Manager for our App, you will drive the product vision, strategy, and execution to integrate diverse services from e-commerce and loyalty programs to digital payments into one seamless, high-performance mobile ecosystem. We believe that delivering exceptional customer experiences starts from within; therefore, you will work in an environment driven by our core values of "Harmony" and "Empathy," collaborating with teams whose well-being and happiness are the foundation of our inno ...
• Define and execute the roadmap for the App. Balance the integration of multiple "mini-apps" or service verticals within a single, cohesive user interface and unified user experience (UX).
• Act as the central hub between Business Stakeholders, UI/UX Designers, iOS/Android Tech Leads, and QA teams. Translate complex business requirements and customer needs into clear, actionable user stories and product specifications.
• Champion the voice of the customer. Utilize deep "Empathy" to understand user pain points, conduct user research, and leverage data analytics to drive product enhancements and feature prioritization.
• Manage the product backlog, lead sprint planning, and ensure the engineering team delivers maximum value in every release cycle. Make critical go/no-go decisions for feature rollouts.
• Define and monitor key product metrics (MAU, DAU, Retention Rate, Conversion, ARPU). Utilize A/B testing and data-driven insights to continuously optimize the Super App's performance and user engagement.
• Job.
• Extensive experience in architecting or managing App ecosystems, digital wallets, or complex retail-tech platforms. Capable of driving portfolio-level strategies and presenting product roadmaps to Executives.
• Agile/Scrum, User Story Mapping, Wireframing, Backlog Grooming, Sprint Planning.
• Jira, Confluence, Figma, Miro, Trello.
• Google Analytics, Mixpanel, Firebase, Tableau, Amplitude (for user behavior tracking).
• Mobile App Architecture (understanding of micro-frontends/mini-apps), E-commerce, Loyalty Systems, Payment Gateways (Fintech).
• CSPO (Certified Scrum Product Owner) or PSPO (Professional Scrum Product Owner).
• AIPMM Certified Product Manager.
• Certifications in UI/UX principles or Data Analytics.
• All applications will be treated with the strictest confidentiality. If your qualifications and experience align with the requirements of the role, our talent acquisition team will reach out to you directly. In the event that there is not an immediate fit, we will securely retain your profile for consideration against future suitable opportunities.

ประสบการณ์:

5 ปีขึ้นไป

ทักษะ:

Software Development, Project Management, Risk Management, Procurement, Negotiation, Scrum

ประเภทงาน:

งานประจำ

• Lead end-to-end project lifecycles for software development, infrastructure upgrades, or digital transformation initiatives.
• Define project scope, allocate resources, manage multi-million baht budgets, and proactively identify and mitigate project risks.
• Facilitate communication between executive stakeholders, Product Owners, and technical teams (Dev, QA, Infra) using appropriate methodologies (Agile, Scrum, or Waterfall).
• Manage vendor relationships, procurement processes, and SLA agreements relevant to the project.
• Provide essential operational and administrative support to the Project Management Office (PMO).
• Track daily project progress, manage complex schedules, organize cross-functional meetings, and prepare comprehensive meeting minutes.
• Maintain centralized project documentation, dashboards, and reporting tools to ensure full transparency for all stakeholders.
• Continuously monitor project performance metrics (KPIs) and implement workflow improvements to increase the efficiency of the software delivery pipeline.
• Job.
• Highly organized with strong administrative, documentation, and communication skills. Possesses a basic understanding of the Software Development Life Cycle (SDLC) and a strong desire to build a career in IT Project Management.
• Proven experience managing multiple IT projects simultaneously. Strong negotiation, problem-solving, and stakeholder management skills. Proficient in running Agile/Scrum ceremonies and translating business needs into technical roadmaps.
• Demonstrated ability to manage large-scale enterprise projects, programs, or portfolios. Capable of leading PMO strategy, standardizing delivery processes, managing crisis situations, and guiding C-level strategic alignments.
• Agile, Scrum, Kanban, Waterfall, Lean IT, SDLC.
• Jira, Confluence, Microsoft Project, Trello, Asana, Monday.com, Miro.
• Stakeholder Management, Risk Management, Budget Planning, Resource Allocation, Business Analysis.
• PMP (Project Management Professional), PRINCE2 Foundation/Practitioner.
• CSM (Certified ScrumMaster), PSM I/II (Professional Scrum Master), PMI-ACP (Agile Certified Practitioner).
• CAPM (Certified Associate in Project Management), ITIL Foundation.
• All applications will be treated with the strictest confidentiality. If your qualifications and experience align with the requirements of the role, our talent acquisition team will reach out to you directly. In the event that there is not an immediate fit, we will securely retain your profile for consideration against future suitable opportunities.

ทักษะ:

Good Communication Skills, Software Development, DevOps, Thai

ประเภทงาน:

ฝึกงาน

• Learn and upskill alongside experienced Mentors and Gosoft's World-Class Tech Partners.
• Flexible internship formats available: Cooperative.
• Education, Summer Internship, and Project/Research Internship. Minimum duration of 2 months (Start anytime in 2026).
• Data & AI: Artificial Intelligence, Data Science, Data Engineer.
• Dev & Cloud: Software Development, Cloud Engineer, DevOps.
• Infra & Security: System Engineer, Security & Cybersecurity, SOC, Penetration Tester, IT Infrastructure.
• IT Services: IT Support, IT Customer Services.
• Job Type.
• Internship / Cooperative.
• Education (Information Technology).
• Gosoft (Thailand) Co., Ltd. (The TARA Building, Chaeng-wattana).
• Education.
• Currently pursuing a Bachelor's degree (1st to 4th year).
• Open to all majors and universities. Both Thai and International students are welcome.
• Passionate with foundational skills in IT, Digital, Data, or Technology relevant to the selected role.
• Proactive, eager to learn new things, and ready to embrace challenges in the Retail Tech industry.
• Strong team player with good communication skills and a growth mindset.
• Opportunity for All: We embrace Diversity, Equity, and Inclusion (DEI). Students of all backgrounds, nationalities, and diverse groups are highly encouraged to apply based on their potential and determination.
• Having a portfolio or previous projects related to the field is a strong plus.

ประสบการณ์:

5 ปีขึ้นไป

ทักษะ:

Software Development, Web development, Teamwork, node.js, Vue.js, Java

ประเภทงาน:

งานประจำ

• Design, develop, and maintain software applications according to client requirements.
• Write clean, efficient, and well-documented code.
• Participate in code reviews and provide constructive feedback to team members.
• Collaborate with cross-functional teams to ensure timely and successful project delivery.
• Troubleshoot and debug software issues.
• Stay up-to-date with emerging technologies and industry trends.
• Continuously improve and optimize existing software products.
• Participate in the entire software development lifecycle, from concept to deployment.
• Bachelor's degree in Computer Science, Software Engineering, or a related field.
• Proven experience as a Software Engineer or Developer.
• Strong knowledge of programming languages such as Node.js, Java, GO.
• Experience with web development frameworks such as AngularJS, React, or Vue.js.
• Familiarity with database design and management.
• Knowledge of software development methodologies and best practices.
• Excellent problem-solving and analytical skills.
• Strong communication and teamwork abilities.
• Ability to work independently and handle multiple projects simultaneously.
• Competitive salary and benefits package.
• Opportunity to work on challenging and exciting projects.
• Collaborative and dynamic work environment.
• Continuous learning and career development opportunities.
• Opportunity to work with cutting-edge technologies.
• Company-sponsored social events and activities.
• If you are passionate about software development and want to be part of a dynamic team, we would love to hear from you. Apply now and join us in shaping the future of software engineering at Gosoft(Thailand)Co.,Ltd.

ประสบการณ์:

2 ปีขึ้นไป

ทักษะ:

Google Cloud Platform, Business Development, Software Development, Microsoft Azure, Architecture, Negotiation, ERP, English

ประเภทงาน:

งานประจำ

• Drive the commercial success and technical adoption of our cutting-edge enterprise and retail tech solutions. This dynamic team acts as the frontline of our business growth, bridging the gap between complex customer requirements and innovative technological capabilities. Whether you are driving new business opportunities or designing tailored technical architectures, you will play a pivotal role in delivering transformative IT solutions (Software, System Integration, Cloud, POS, and ERP) to our clients.
• Identify, develop, and close new business opportunities within the enterprise and retail sectors.
• Build and maintain strong, long-lasting relationships with key stakeholders and decision-makers.
• Present high-level IT solutions, prepare commercial proposals, formulate quotations, and skillfully negotiate contracts.
• Consistently achieve and exceed sales targets (KPIs) while driving revenue growth.
• Analyze deep customer requirements and translate business needs into robust, scalable IT solutions.
• Support the sales team in client meetings by conducting compelling product demonstrations and executing Proof-of-Concept (POC) initiatives.
• Design solution architectures and prepare comprehensive technical proposals and documentation.
• Act as the technical liaison, collaborating closely with internal teams (Developers, Project Managers) and external vendors to ensure successful solution delivery.
• Job.
• Bachelor's degree in IT, Computer Science, Business, or a related field. Possesses a strong foundational understanding of IT services, excellent communication skills, and a highly self-motivated, goal-oriented mindset.
• Proven track record in B2B IT Sales / Solution Sales or as a Pre-Sales Consultant / System Engineer. Capable of handling end-to-end sales cycles, designing complex system integrations, and working effectively under pressure. Good command of English is required.
• Extensive existing client network in the enterprise/retail sector. Capable of closing multi-million baht deals, advising C-level executives on digital transformation strategies, or architecting large-scale multi-cloud and enterprise software deployments.
• B2B Enterprise Sales, Account Management, CRM Management, Negotiation, Commercial Proposal Writing, Client Relationship Management.
• Retail Solutions, POS (Point of Sale) Systems, ERP, System Integration, E-commerce platforms.
• Deep understanding of the Software Development Lifecycle (SDLC), APIs, and Enterprise Infrastructure.
• Knowledge and hands-on experience in AWS, Microsoft Azure, or Google Cloud Platform (GCP).
• Cloud Architecture Certifications (e.g., AWS Certified Solutions Architect, Microsoft Certified: Azure Solutions Architect, GCP Professional Cloud Architect), ITIL.
• Vendor-specific Sales Certifications (e.g., Microsoft Sales Specialist, AWS Business Professional) or recognized strategic selling credentials.
• All applications will be treated with the strictest confidentiality. If your qualifications and experience align with the requirements of the role, our talent acquisition team will reach out to you directly. In the event that there is not an immediate fit, we will securely retain your profile for consideration against future suitable opportunities.

ประสบการณ์:

2 ปีขึ้นไป

ทักษะ:

Architecture, Automation, Backbone, Python, DevOps, Apache, SQL, ETL

ประเภทงาน:

งานประจำ

• At Gosoft, were the tech powerhouse behind CP ALL Grouppowering innovations for over 15,000 7-Eleven stores nationwide, including platforms like 7-Delivery. As part of our Data Science & Data Engineering team, youll work at the cutting edge of cloud-native tech and big dataespecially on Databricks Lakehouse and AWS/GCP.
• Were looking for passionate engineers ready to build high-impact data systems that shape the future of retail.
• Design and maintain scalable data pipelines on Databricks Lakehouse Platform.
• Build ETL/ELT workflows for both structured and unstructured data.
• Partner with data scientists and analysts to turn raw data into actionable insights.
• Optimize performance of Spark jobs, Delta Lake, and streaming pipelines.
• Lead platform monitoring, CI/CD automation, and cloud-native governance.
• Apply best practices in data security, quality, and governance.
• What Were Looking For.
• Degree in Computer Science, Engineering, or related field.
• 2+ years of hands-on experience in Data Engineering / Platform Engineering.
• Strong with Databricks, Apache Spark, Delta Lake.
• Skilled in Python, SQL, and working in notebooks (Jupyter/Databricks).
• Experience in AWS or GCP services.
• Solid understanding of Lakehouse Architecture and Data Modeling.
• Familiar with CI/CD, Git, and MLOps/DevOps for data platforms.
• Bonus: Experience in retail tech, data privacy, and RBAC.
• Why Gosoft?.
• Impact: Be the backbone of the data powering 7-Elevens national operations.
• Innovation: Work on modern architecture and enterprise-scale platforms.
• Growth: Learn from top talent in DataOps, MLOps, and Cloud Engineering.
• Flexibility: Hybrid working, continuous learning, and career advancement.

ประสบการณ์:

3 ปีขึ้นไป

ทักษะ:

Analytical Thinking, Data Analysis, Architecture, Automation, Big Data, Power BI, Tableau, Python, Hadoop, SQL

ประเภทงาน:

งานประจำ

• Data Analyst.
• we are seeking an experienced.
• Expert Data Analyst.
• with strong expertise in.
• data visualization, business intelligence architecture, and advanced analytics. In this role, you will lead the development of enterprise-level dashboards and analytics solutions that enable data-driven decision-making across the organization.
• You will collaborate closely with data engineers, data scientists, and business stakeholders to transform complex data into strategic insights that support innovation in retail and digital platforms.
• Data Visualization & BI Architecture.
• Lead the design and development of.
• enterprise-scale dashboards and analytics platforms.
• using tools such as QlikSense, Looker, Power BI, Tableau, or similar technologies.
• Establish.
• best practices and standards for data visualization, dashboard design, and reporting frameworks.
• Ensure dashboards deliver.
• clear, actionable insights for business leaders and operational teams.
• Advanced Data Analysis.
• Analyze.
• large-scale and complex datasets.
• to identify trends, patterns, and opportunities that support strategic decision-making.
• Apply.
• advanced analytical techniques.
• to support business optimization and performance monitoring.
• Provide.
• data-driven insights and recommendations.
• to support product, operational, and strategic initiatives.
• Data Management & Data Modeling.
• Design and maintain.
• data models, semantic layers, and reporting frameworks.
• for enterprise BI solutions.
• Collaborate with Data Engineers to ensure.
• high-quality, reliable, and scalable data pipelines.
• Define.
• data governance and data quality standards.
• for reporting and analytics.
• Stakeholder Collaboration.
• Partner with business units and product teams to.
• understand requirements and translate them into scalable analytics solutions.
• Present insights and analytical findings to.
• both technical teams and senior business stakeholders.
• Provide guidance and mentorship to.
• junior analysts and BI developers.
• Continuous Improvement.
• Identify opportunities to.
• improve analytics capabilities, reporting automation, and decision-support systems.
• Stay up to date with emerging trends in.
• data analytics, BI platforms, and data visualization technologies.
• Required.
• Bachelors or Masters degree in.
• Data Science, Computer Science, Statistics, Mathematics, or related fields.
• 6-8+ years of experience.
• in data analysis, business intelligence, or analytics roles.
• Strong expertise in.
• BI and data visualization platforms.
• such as QlikSense, Looker, Power BI, or Tableau.
• Advanced.
• SQL skills.
• for complex data extraction, transformation, and analysis.
• Strong understanding of.
• data modeling, dimensional modeling, and data warehousing concepts.
• Experience working with.
• large datasets and enterprise analytics environments.
• Strong analytical thinking and.
• problem-solving capabilities.
• Excellent communication skills with the ability to.
• translate data insights into business recommendations.
• Preferred.
• Experience working with.
• cloud-based data platforms.
• (AWS, Azure, or GCP).
• Familiarity with.
• big data technologies.
• such as Spark, Databricks, or Hadoop.
• Experience supporting.
• retail, e-commerce, or digital platform analytics.
• Knowledge of.
• Python or R for advanced data analysis.
• Experience implementing.
• data governance and BI strategy.