เงื่อนไขการค้นหา

ประสบการณ์:

8 ปีขึ้นไป

ทักษะ:

Architecture, Automation, Kubernetes, DevOps, Docker

ประเภทงาน:

งานประจำ

• Bangkok, Thailand.
• Full-time.
• Workplace: on_site.
• Department: Technology.
• The Senior Machine Learning Engineer I sits in the Finance Transformation team in IT at CP Axtra, building and operating AI/LLM-powered features that automate and augment finance processes across Makro and Lotus's. The role requires strong engineering fundamentals, hands-on experience deploying AI features into production, and the ability to work with Finance and cross-functional teams. It does not focus on developing custom ML models, but deep technical proficiency and system-level thinking are essential.
• AI and LLM Evaluation.
• Evaluate large language models and AI services for accuracy, reliability, safety, latency, and business suitability on finance use cases.
• Design structured evaluation frameworks, test cases, and benchmarking methodologies.
• Conduct prompt testing, retrieval validation, and failure-mode analysis.
• Implement quality guardrails, safety filters, and monitoring for LLM applications handling sensitive financial data.
• System and Backend Development.
• Build and maintain backend services and APIs that integrate LLMs or AI workflows with finance systems such as Oracle Fusion.
• Architect scalable systems supporting chat interfaces, retrieval pipelines, classification tools, or finance workflow automation.
• Implement solid software engineering practices: testing, versioning, error handling, observability, and performance optimization.
• Ensure robust integration with internal systems, data services, and production infrastructure.
• AI Application Engineering.
• Work on features powered by LLMs such as RAG systems, finance copilots, document intelligence for invoices/contracts, and intelligent automation.
• Implement embeddings, document retrieval layers, vector search, caching, and fallback logic.
• Collaborate with platform teams on deployment, API management, and resource optimization.
• Operations and Reliability.
• Monitor AI features in production and proactively address model drift, latency issues, and failure patterns.
• Maintain evaluation logs, experiment results, and version control for AI workflows.
• Work with DevOps to manage CI/CD pipelines, container deployment, and runtime environments.
• Collaboration and Delivery.
• Partner with product owners, Finance teams, and engineering teams to convert requirements into reliable AI solutions.
• Provide technical guidance on feasibility, architecture choices, and operational trade-offs.
• Produce clear documentation on workflows, system design, evaluation methods, and application behavior.
• 1\. 5 to 8 years of experience in software engineering, ML engineering, or AI engineering.
• 2\. Strong proficiency in Python and experience designing production-grade backend services.
• 3\. Proven experience deploying AI or LLM-based applications into production environments.
• 4\. Solid understanding of system design, distributed systems, APIs, and microservices.
• 5\. Experience with LLM tooling such as Azure OpenAI, ChatGPT, or similar platforms.
• 6\. Hands-on experience with vector databases, embeddings, or retrieval-based architectures.
• 7\. Strong problem-solving skills and the ability to evaluate AI model behavior systematically.
• 8\. Experience with Docker, Kubernetes, CI/CD pipelines, and cloud environments.
• Preferred.
• 1\. Experience building or maintaining RAG systems, chat systems, or AI automation workflows.
• 2\. Familiarity with observability tools (logging, tracing, monitoring) in production environments.
• 3\. Experience working with Airflow, Prefect, or orchestration frameworks.
• 4\. Knowledge of data pipelines, ETL workflows, or integration with ERP systems such as Oracle Fusion.
• 5\. Domain knowledge in finance, retail, loyalty, process automation, or enterprise systems.
• International workplace.
• Opportunities for growth in e-commerce, wholesales, and retail industry.
• Competitive benefits.
• Fast-paced, dynamic, and supportive environment.
• Apply.
• Apply at CP Axtra](https://apply.workable.com/joinmakropro/j/CBB27D6D32/apply).

ทักษะ:

Instrument, Python, Thai

ประเภทงาน:

งานประจำ

• Nawamin Road, Thailand.
• Full-time.
• Workplace: on_site.
• Department: Technology.
• The AI Engineer builds production agents end-to-end on an AI-native retail decisioning platform - prompt design, tool definitions, multi-step workflows on the agent runtime (LangGraph, CrewAI, or chosen framework), evaluation harnesses (golden sets, regression gates, multi-step replay), human-in-the-loop gate integration, and per-agent cost optimisation. The role consumes platform-provided LLM and vector services; it does not rebuild that platform.
• Remote candidates outside of Thailand are welcome to apply.
• Build agents on the platform's agent runtime - prompt design, tool definitions, multi-step workflows, error handling - and ship them with eval harness, human-in-the-loop gate config, observability instrumentation, cost meter, and runbook.
• Co-design agent specs with Tech Lead Applications and Suite Product Owners; partner with ML Engineers on classical ML model integration into agents.
• Author golden sets per agent - domain-specific test cases capturing must-pass behaviours; build regression gates in CI so no agent ships without eval-pass.
• Implement multi-step conversation replay for agents with stateful interactions; use LLM-as-judge patterns where appropriate; instrument human feedback collection.
• Configure HITL gates per agent and per agent plan; implement gate-progression evidence collection (Shadow data, accuracy metrics, override frequency).
• Own per-agent cost meter - tokens, vector queries, model inference; report monthly; tune model routing and implement caching strategies where appropriate.
• Consume the enterprise LLM Gateway via standard SDK; partner with platform AI engineering on embedding model selection and retrieval relevance tuning.
• Mentor seed-programme engineers and contribute to the agent-engineering playbook.
• Bachelor's or Master's degree in Computer Science, AI / ML, or a related discipline.
• 5+ years software engineering with 2+ years shipping LLM-based or agentic systems to production.
• Production agent or multi-step LLM workflow experience - LangGraph, CrewAI, AutoGen, DSPy, or custom.
• Strong Python; comfortable with async, observability, testing.
• Hands-on with at least one major LLM provider (Azure OpenAI, Anthropic, Bedrock, Vertex).
• Eval-driven LLM development - golden sets, LLM-as-judge, regression gates, multi-step replay.
• HITL gate / agent governance - has shipped agents with explicit gates, not autonomous-by-default.
• Prompt injection / data leakage / PII handling - designs and tests defences.
• Preferred.
• Open-source contributions to agent frameworks (LangChain / LangGraph / DSPy).
• Multi-agent system at scale in production; retail / commerce / fintech agentic workflows (supplier onboarding, contract intelligence, comparable).
• Causal inference exposure (DoWhy / EconML); Thai-language NLP (PyThaiNLP, WangchanBERTa, SEA-LION, Typhoon).
• Vendor certifications such as Databricks Generative AI Engineer or Azure AI Engineer Associate.
• Apply.
• Apply at CP Axtra](https://apply.workable.com/joinmakropro/j/2CFFE27C25/apply).

ประสบการณ์:

5 ปีขึ้นไป

ทักษะ:

Financial Reporting

ประเภทงาน:

งานประจำ

• Bangkok, Thailand.
• Full-time.
• Workplace: on_site.
• Department: Technology.
• The Senior Data Engineer I sits within the Finance Transformation team in IT at CP Axtra, responsible for the end-to-end data engineering that powers financial reporting, planning, and analytics across Makro and Lotus's. He/she designs and operates the data pipelines feeding Oracle Fusion (ERP/EPM) and the enterprise data platform, ensuring finance data is available, accurate, and reliable to enable data-driven decisions for the CFO organization.
• Lead and mentor the data engineering effort, fostering collaboration, innovation, and continuous learning within Finance Transformation.
• Oversee the design, development, and maintenance of scalable, efficient data pipelines supporting financial reporting, planning, and analytics.
• Build and maintain integrations between Oracle Fusion (ERP/EPM) and the enterprise data platform to deliver trusted finance data.
• Collaborate with data scientists, analysts, FP&A, and Finance stakeholders to understand requirements and ensure seamless data integration.
• Implement data quality, reconciliation, and validation checks to ensure the accuracy, completeness, and reliability of financial data sets.
• Design data architecture that supports current and future finance needs, considering scalability, performance, and auditability.
• Evaluate and select appropriate tools and technologies to enhance data processing, storage, and analytics capabilities.
• Optimize pipelines for performance and efficiency, considering data volume, processing speed, and month-end close deadlines.
• Implement data governance and controls to ensure compliance with financial controls, audit requirements, and data privacy (PDPA).
• Stay updated with emerging data engineering trends and apply them to improve the team's finance data capabilities.
• Master's or Bachelor's degree in Computer Science, Engineering, or a related field.
• 5-8 years in data engineering, including building pipelines for finance, ERP, or transactional data.
• Strong expertise in ETL/ELT, data warehousing, and data integration with ERP systems such as Oracle Fusion.
• Proficiency in Python and SQL, with big data technologies (e.g., Spark/Databricks) and cloud data platforms.
• Experience with data modeling, dimensional design, and optimizing storage for financial reporting and reconciliation.
• Strong problem-solving skills to diagnose and resolve data quality and pipeline issues affecting financial figures.
• Excellent communication skills to work with Finance, Accounting, and FP&A stakeholders alongside technical teams.
• Familiarity with Agile/Scrum, data governance, and data privacy (e.g., Thailand PDPA) in a finance context.
• International workplace.
• Opportunities for growth in e-commerce, wholesales, and retail industry.
• Competitive benefits.
• Fast-paced, dynamic, and supportive environment.
• Apply.
• Apply at CP Axtra](https://apply.workable.com/joinmakropro/j/D3DA891695/apply).

ทักษะ:

Big Data, ETL

ประเภทงาน:

งานประจำ

• Maintain data dictionary, relationship and its interpretation.
• Analyze problem and find resolution, as well as work closely with administrators to monitor performance and advise any necessary infrastructure changes.
• Work with business domain experts, data scientists and application developers to identify data that is relevant for analysis.
• Develop big data solutions for batch processing and near real-time streaming.
• Own end-to-end data ETL/ELT process framework from Data Source to Data warehouse.
• Select and integrate appropriate tools and frameworks required to provide requested capabilities.
• Design and develop BI solutions.
• Hands-on development mentality, with a willingness to troubleshoot and solve complex problems.
• Keep abreast of new developments in the big data ecosystem and learn new technologies.
• Ability to effectively work independently and handle multiple priorities.

ทักษะ:

DevOps

ประเภทงาน:

งานประจำ

• Nawamin Road, Thailand (Hybrid).
• Full-time.
• Workplace: hybrid.
• Department: Technology.
• The DevOps / SRE Engineer owns the operational substrate of an AI-native retail decisioning platform - infrastructure, CI / CD, observability, cost meter, and incident response for a system that runs production agents taking real business actions. The role builds on the enterprise Terraform standard, CI / CD spine, and FinOps tagging policy rather than reinventing parallel infrastructure.
• Remote candidates outside of Thailand are welcome to apply.
• Adopt the enterprise Terraform standard and module library for all platform infrastructure; author platform-specific modules where needed (agent runtime, vector DB, knowledge graph); run drift detection weekly.
• Build platform-specific CI / CD pipelines on the enterprise spine - service deploys, agent deploys, eval-gate enforcement; integrate eval gates so no agent reaches production without eval pass.
• Operate rollback orchestration with sub-15-minute recovery; quarterly game days.
• Own the platform observability stack - OpenTelemetry, Langfuse for LLM traces, custom dashboards for per-agent cost.
• Implement the per-agent cost meter end-to-end - token counts, vector queries, model inference, downstream LLM Gateway costs; surface cost data to the enterprise GenAI cost dashboard.
• Stand up the platform on-call rotation; author runbooks for every production agent and service; lead incident response with measurable corrective actions.
• Implement platform cost-tagging policy consistent with the enterprise standard (team, domain, environment, project, agent, suite, persona); report monthly to Cost Review.
• Drive cost optimisation - right-sizing, caching, model routing decisions, reserved compute.
• Bachelor's or Master's degree in Computer Science, Engineering, or a related discipline.
• 5+ years SRE / DevOps with production ownership.
• Terraform at scale - modules, state, drift, environment promotion.
• CI / CD for data + ML / AI services (GitLab CI / CD or comparable).
• Cloud platform (Azure preferred; AWS / GCP transferable).
• Observability - OpenTelemetry, Langfuse (or comparable LLM traces), custom dashboards.
• FinOps - tagging policies, attribution, optimisation.
• Incident response - on-call, post-mortems, runbook authorship.
• Preferred.
• AI / agent platform SRE experience; cost-meter / chargeback systems built or operated.
• Multi-cloud production experience; open-source contributions to IaC / observability tooling.
• AI / ML / agent system observability instrumentation (LLM cost, agent cost, eval scores).
• Vendor certifications such as HashiCorp Terraform Associate / Professional, Azure Solutions Architect Associate, or Databricks Data Engineer Professional.
• Apply.
• Apply at CP Axtra](https://apply.workable.com/joinmakropro/j/A1B401274A/apply).

ทักษะ:

TypeScript, Oracle, Python, Kafka, Cloud Computing

ประเภทงาน:

งานประจำ

• Nawamin Road, Thailand (Hybrid).
• Full-time.
• Workplace: hybrid.
• Department: Technology.
• The Senior Data Platform Engineer builds the platform-services layer that turns the enterprise data platform into a product - API Gateway baseline, knowledge graph, event stream, semantic layer, data-product catalogue, vector search, anti-corruption-layer patterns, and the Python / TypeScript SDK framework that internal product teams consume. This is a senior software-engineering role focused on shipping platform capability with API contracts, SDKs, and governance baked in.
• Design, build, and operate the platform API Gateway baseline - authentication, rate limiting, observability, versioning, contract tests, deprecation policy.
• Build and operate the Knowledge Graph platform - schema design, ingestion, query API, scaling, observability - exposed as a platform service to internal consumers.
• Build and operate the Event Stream platform - domain-event topology, partitioning, schema registry, retention; integrate with downstream catalogue and KG.
• Build and operate the Semantic Layer service - business-meaningful query API on top of the lakehouse, consumed by internal product teams and AI agents.
• Build and maintain the Data Product Catalogue - data-product registration, freshness SLOs, schema contracts, governance hooks at publish time.
• Build and operate the Vector Search Service infrastructure (pgvector, Milvus, Qdrant, or comparable) - index, scaling, observability - partnered with AI engineering on embedding model selection and retrieval relevance.
• Author and maintain the Anti-Corruption-Layer Patterns Library - reusable patterns for legacy system integration (Oracle, SAP, WMS) via events and ACL only; never direct DB writes.
• Build and maintain the Python and TypeScript SDK framework - consumed by product teams and AI engineering for all platform-service calls.
• Bachelor's or Master's degree in Computer Science, Engineering, or a related discipline.
• 8+ years software engineering with production ownership of platform services at multi-team scale.
• Strong Python (production services, async, observability) and TypeScript at senior level.
• API-first design discipline - OpenAPI 3.1, REST, gRPC; versioning, semver, deprecation policies, contract tests.
• Production experience with at least one of: knowledge graphs (Neo4j, Neptune, TigerGraph), event streaming (Kafka, Event Hubs), or vector databases (pgvector, Milvus, Qdrant).
• Distributed systems fundamentals - concurrency, message queues, idempotency, observability, performance.
• SDK / client library design for multi-language consumption; semver, breaking-change policy, documentation discipline.
• Cloud + Databricks (or equivalent lakehouse) production experience; Azure preferred.
• Preferred.
• Production knowledge-graph experience at scale (multi-million entities); semantic layer / data products in production.
• Multi-language SDK design across Python and TypeScript / Java; OSS library maintenance.
• Retail / commerce data integration - Oracle (RMS, RPM, PMS, SIM), SAP, WMS; strangler-fig patterns.
• Vendor certifications such as Databricks Data Engineer Professional, Azure Solutions Architect, or comparable.
• Apply.
• Apply at CP Axtra](https://apply.workable.com/joinmakropro/j/7BF7F275CB/apply).

ทักษะ:

Automation, Leadership Skill, ISO 27001, English, Thai

ประเภทงาน:

งานประจำ

• Bangkok, Thailand (Hybrid).
• Full-time.
• Workplace: hybrid.
• Department: Technology.
• The Associate Director - Cyber Security Offensive Engineer leads the organization's offensive security initiatives, managing red teaming, adversary simulation, and ethical hacking programs. This role is responsible for defining offensive security strategies, enhancing attack simulation frameworks, and working closely with executives and IT leadership to improve the organization's overall security resilience. The Associate Director will also play a.
• key role.
• in security awareness, training, and leadership within the cybersecurity team.
• Develop and implement the organization's offensive security strategy.
• Lead red teaming and advanced persistent threat (APT) simulations to assess security defenses.
• Oversee enterprise-wide penetration testing programs and provide risk-based recommendations.
• Manage a team of offensive security professionals and oversee security assessments.
• Perform threat modeling and attack simulations against critical IT assets.
• Collaborate with executive leadership to align offensive security with business objectives.
• Evaluate and integrate advanced security tools and technologies for attack simulation.
• Provide technical leadership in security research, vulnerability analysis, and adversary tactics.
• Deliver strategic insights and reports to C-level executives and security committees.
• Drive internal cybersecurity awareness and training initiatives.
• Keep up with global cybersecurity trends, new attack techniques, and regulatory changes.
• Bachelor's or Master's degree in Cybersecurity, Computer Science, or related field.
• Experience in offensive security, penetration testing, and ethical hacking.
• Proven leadership experience in managing red teaming and adversarial security programs.
• Expertise in attack simulation, risk analysis, and security strategy development.
• Advanced knowledge of network security, malware analysis, exploit development.
• Hands-on experience with penetration testing frameworks and security automation tools.
• Strong stakeholder management and executive communication skills.
• Deep understanding of regulatory frameworks (ISO 27001, PCI-DSS, NIST, GDPR).
• Preferred certifications: OSWE, OSCP, CISSP, GXPN, or equivalent.
• Bilingual proficiency in Thai and English is a strong advantage.
• Apply.
• Apply at CP Axtra](https://apply.workable.com/joinmakropro/j/73C940ACD8/apply).

ทักษะ:

Postgre SQL, Spring Boot, Automation, Kubernetes, Jenkins

ประเภทงาน:

งานประจำ

• Suan Luang, Thailand (Hybrid).
• Full-time.
• Workplace: hybrid.
• Department: Technology.
• We are looking for a Senior Backend Engineer to build and operate services that power Forecasting and Replenishment (FNR) systems at CP Axtra (Makro). This role is for someone who can design clean APIs and business logic, and who is also comfortable owning parts of the operational stack when needed. You will work across backend services, data flows, integrations, and reliability practices to deliver systems that are stable, observable, and easy to evolve.
• Design, build, and maintain backend services using Java and Spring Boot for FNR applications and workflows.
• Own end-to-end delivery of features: requirements clarification, technical design, implementation, testing, release, and operational support.
• Build robust APIs for data-heavy use cases including search, filtering, pagination, and bulk-like workflows where appropriate.
• Implement and maintain asynchronous processing using Kafka (event-driven flows, consumers, retries, idempotency, and reprocessing patterns).
• Design and optimize Postgres schemas, queries, and indexes for performance and correctness at scale.
• Use Redis for caching, distributed locks, and performance improvements where appropriate.
• Implement security and access control patterns suitable for internal enterprise systems (authentication integration, role-based access).
• Improve observability and reliability: structured logging, metrics, tracing, dashboards, alerts, and incident debugging.
• Collaborate with Frontend Engineers, Data Engineers, Data Scientists, and business stakeholders to deliver end-to-end workflows.
• Contribute to platform and infrastructure work when needed (CI/CD improvements, environment setup, service configuration, production readiness checks).
• 5+ years strong experience building production backend systems with Java and Spring Boot.
• Strong SQL skills and experience designing and optimizing Postgres\-backed applications.
• Hands-on experience with Kafka or similar messaging systems, including consumer design, error handling, and operational patterns.
• Experience using Redis in backend systems (caching strategies, TTLs, invalidation, and concurrency control).
• Good understanding of distributed system fundamentals: consistency trade-offs, retries, idempotency, backpressure, and failure modes.
• Strong engineering practices: code reviews, automated testing, documentation, and disciplined release management.
• Operational mindset: ability to debug issues in production using logs/metrics/traces and drive fixes through to resolution.
• Clear communication and ownership mindset, able to work with cross-functional stakeholders.
• Nice to Have.
• Experience with infrastructure and operations work: containers, Kubernetes, service deployment, or cloud environments (Azure/AWS/GCP).
• Experience with CI/CD pipelines and release automation (GitLab CI, Jenkins, GitHub Actions, or similar).
• Experience with observability tooling (OpenTelemetry, Prometheus/Grafana, ELK, Datadog, or similar).
• Familiarity with schema migration tooling and practices (Liquibase/Flyway).
• Experience building internal platforms or shared libraries for consistent integration patterns.
• Experience in retail, supply chain, forecasting, replenishment, or operations-heavy domains.
• What Success Looks Like.
• Core FNR services are reliable, observable, and easy to evolve as business rules change.
• APIs and data flows are consistent and predictable, with clear error handling and stable contracts for consumers.
• Kafka-based processes are safe to operate with retry, reprocessing, and idempotency patterns in place.
• Performance remains strong as data volumes grow through efficient Postgres design and caching strategies.
• The team ships frequently with low regressions, and production issues are detected and resolved quickly.
• Tech Environment (Indicative).
• Java, Spring Boot.
• PostgreSQL.
• Kafka.
• Redis.
• Standard tooling for CI/CD, monitoring, logging, and tracing in an enterprise environment.
• Apply.
• Apply at CP Axtra](https://apply.workable.com/joinmakropro/j/25A1A803F6/apply).

ทักษะ:

Oracle

ประเภทงาน:

งานประจำ

• Suan Luang, Thailand (Hybrid).
• Full-time.
• Workplace: hybrid.
• Department: Technology.
• Role Summary.
• We are looking for experienced Oracle Retail Techno-Functional Consultants who can work across key Oracle Retail modules (RMS, ReIM, RPM, ReSA and SIM) with strong hands-on technical skills in PL/SQL, Shell Scripting, Pro\*C, Oracle Forms, Java, and related Oracle Retail technologies. The role involves working closely with business and IT stakeholders to analyze requirements, design solutions, implement changes, support production issues, and participate in enhancement/rollout projects.
• We are open for remote candidates.
• Functional (Oracle Retail - RMS, ReIM, RPM, ReSA, SIM).
• Work with business users to gather, analyze, and document requirements across merchandising, pricing, invoice matching, store operations, and sales audit.
• RMS - item/sku setup, purchase orders, transfers, inventory management, cost, and deals.
• ReIM - invoice matching, tolerance setup, discrepancy handling, supplier funding.
• RPM - price changes, promotions, markdowns, clearance strategies.
• ReSA - sales audit, store sales data validation, error correction workflows.
• SIM - store inventory management, stock counts.
• Perform fit-gap analysis and propose solutions aligned with Oracle Retail best practices.
• Support UAT, prepare test scenarios, test data, and help business users with functional validation.
• Analyze and provide root-cause for production issues, recommend fixes and workarounds.
• Technical (Oracle Retail Core Technologies).
• Oracle PL/SQL (packages, procedures, functions, views).
• Shell scripting for batch jobs and integrations.
• Pro\*C / batch programs used in Oracle Retail.
• Oracle Forms (where applicable) and Java components.
• Optimize SQL/PLSQL for performance and stability in high-volume retail environments.
• Support and troubleshoot batch processes, scheduled jobs and EOD/EOM cycles.
• Prepare and maintain technical design documents, configuration documents, and deployment guides.
• Required Skills & Experience.
• Total Experience: 5-10+ years in IT, with 3-7+ years specifically in Oracle Retail.
• Oracle Retail RMS, ReIM, RPM, ReSA, SIM.
• Oracle PL/SQL (advanced).
• Shell scripting on Unix/Linux.
• Pro\*C and Oracle Retail batch processes.
• Oracle Forms customization/support.
• Java (for Oracle Retail extensions/integrations).
• Solid understanding of retail business processes - purchasing, inventory, pricing, promotions, invoicing, store operations, and sales/audit.
• Experience in production support, incident & problem management, and working in onsite-offshore or distributed teams.
• Hands-on experience with version control, ticketing tools (JIRA, ServiceNow, etc.) and standard SDLC practices.
• Nice-to-Have Skills.
• Experience with Oracle Retail Foundation and associated integration layers.
• Knowledge of Oracle Retail Cloud or roadmap migration from on-prem to cloud.
• Familiarity with ETL tools and integration middleware (e.g. ODI, SQL Loader, SOA).
• Experience in performance tuning and high-volume data processing in retail systems.
• Prior experience in large retail enterprises or multi-country rollouts.
• Soft Skills.
• Strong analytical and problem-solving mindset.
• Ability to translate business requirements into functional and technical designs.
• Good communication skills to work with business users, vendors, and technical teams.
• Proactive, self-driven, and comfortable working in a T&M engagement with clear deliverables and timelines.
• Apply.
• Apply at CP Axtra](https://apply.workable.com/joinmakropro/j/2E5D7FCD5A/apply).

ประสบการณ์:

7 ปีขึ้นไป

ทักษะ:

Software Development, Spring Boot, Automation, Kubernetes, Selenium

ประเภทงาน:

งานประจำ

• Suan Luang, Thailand (Hybrid).
• Full-time.
• Workplace: hybrid.
• Department: Technology.
• At CP Axtra, we believe quality is an engineering responsibility. Not something owned by a separate QA team. We are looking for a.
• Senior Software Test Engineer.
• to help build that culture.
• This role is much more than writing automated tests. You'll work alongside Product Owners and software engineers to ensure quality is considered from feature discovery through production. You'll help teams decide what should be tested, where it should be tested, and how it can be automated efficiently.
• You'll build tools, frameworks, and engineering practices that enable developers to confidently own quality while continuously improving our software delivery process.
• Remote candidates outside of Thailand are welcome to apply.
• Drive Engineering Quality.
• Define testing strategies for new features and system capabilities.
• Guide engineering teams to apply testing at the right level (unit, integration, contract, end-to-end, performance).
• Identify quality risks during design and backlog refinement before implementation begins.
• Establish engineering quality standards and continuously improve testing practices across the team.
• Build Automation.
• Design, build, and maintain scalable automation frameworks.
• Develop automated tests across API, integration, contract, and UI layers.
• Improve CI/CD quality gates to increase deployment confidence.
• Continuously improve test reliability, execution speed, and developer feedback loops.
• Partner with Product Owners.
• Collaborate with Product Owners to refine requirements and ensure stories are testable.
• Help define clear acceptance criteria and identify edge cases early.
• Ensure business workflows can be validated efficiently through automation.
• Enable Engineers.
• Rather than becoming the team's testing bottleneck, you'll help engineers build better software.
• Improve Engineering Practices.
• Recommend improvements to our development workflow, automation strategy, and release process.
• Drive adoption of modern quality engineering practices.
• Monitor quality metrics and identify opportunities to reduce production defects.
• Continuously improve developer experience around testing and automation.
• Coach developers on effective testing practices.
• Review designs and pull requests from a quality perspective.
• Help teams decide what should - and shouldn't - be covered by automated tests.
• Build reusable testing libraries, utilities, and developer tooling.
• Promote Shift Left quality practices across the engineering organization.
• 7+ years of experience in Quality Engineering, Software Engineering, or Test Automation.
• Strong software development experience in Java (preferred) or another modern programming language.
• Experience building and maintaining automation frameworks rather than simply writing automated tests.
• Experience working with distributed systems and microservice architectures.
• Strong understanding of: Unit Testing, Integration Testing, API Testing, Contract Testing, End-to-End Testing, Performance Testing principles.
• Experience integrating automated testing into CI/CD pipelines.
• Experience working closely with Product Owners and software engineers in Agile teams.
• Strong analytical and debugging skills.
• Excellent written and verbal communication skills.
• Expertise in: Java / Spring Boot, REST APIs, SQL, Kafka or event-driven systems, Docker / Kubernetes, GitHub Actions, GitLab CI, Jenkins, or similar, Playwright, Selenium, REST Assured, Pact, JUnit, or similar tools, Datadog, Grafana, or other observability platforms.
• Nice to Have.
• Warehouse Management Systems (WMS).
• Supply Chain or Logistics systems.
• Retail technology.
• Performance testing.
• Cloud platforms (AWS, Azure, GCP).
• Contract testing implementation.
• Experience coaching engineering teams.
• What Success Looks Like.
• Establish scalable quality engineering practices across our WMS tool.
• Improve developer ownership of testing and quality.
• Increase automation coverage at the most valuable test layers - not simply increase the number of tests.
• Reduce production defects through better engineering practices.
• Improve confidence in every deployment through automation and effective quality gates.
• Help build a culture where quality is everyone's responsibility.
• Health Insurance - We care about your health! Group insurance from a top insurance company is included in your benefits - OPD, IPD, Emergency OPD.
• Provident Fund - We care about your long-term plan! We offer 3% provident fund.
• Year-end bonus - We include variable and performance bonus for our employees.
• Gym Facilities - Our Head office has a fitness center, yoga room, and recreational space. Enjoy Bangkok scenery and work your body!.
• Attractive Vacations days - Enjoy our attractive annual leave. Let's say the minimum is 16 days!.
• No overtime - We work 5 days a week with. We set our own goals and deadlines.
• Cool hardware - New MacBook. The tool to help you be the best of yourself.
• Free car parking space - No more stress or extra cost if you drive to work. We offer free parking space for our employees.
• Best Culture.
• Clear focus.
• Diverse Workplace (Our members are from around the world!).
• Non-hierarchical and agile environment.
• Growth opportunity and career path.
• Apply.
• Apply at CP Axtra](https://apply.workable.com/joinmakropro/j/1F2D46884F/apply).

ทักษะ:

Software Development, Quality Assurance, Architecture, Leadership Skill, Assurance

ประเภทงาน:

งานประจำ

• Provide QA Team Leader with a realistic assessment of the current situation inside responsible projects regarding Quality Assurance and Risk.
• Participate in the review of product requirements and architecture design, analyze the effectiveness of requirements and design, identify relevant risks and guarantee the testability of products.
• Participate in test effect evaluation and software quality verification, and improve test quality and efficiency through innovation of test related processes, strategie ...
• Manage small set of teams, both permanent and outsourced staffs, to support system integration testing and performance testing and prioritize multiple, diverse projects simultaneously.
• Write, Review and Ensure Test Cases, Test Criteria and/or Automated Test Scripts address business and technical use cases: Including Execute of Test Cases Test Scripts during execution period.
• Work with development teams and release manager to improve the reliability and consistency of production deployment.
• Good at teamwork, understanding an adapting to changes, and striving for success based on results and actions.
• Support all IT teams on daily quality matter tasks.
• Degree in Computer Science, Computer Engineering, IT, or related fields.
• Minimum of 5 years' experience in development and/or testing role with proven experience as a QA Manager or relevant role.
• Strong knowledge of methodologies of QA and standards in software industry, common QA testing tools and best practice.
• Experience in banking systems and agile software development practices will be an advantage.
• Excellent organizational and leadership abilities.
• Great communication and coaching skills.
• Great attention to detail and hands on.
• Critical thinker and problem-solving skills.
• Good in English speaking and writing.
• Specific knowledge and skill / ความรู้เฉพาะตำแหน่ง.

ประสบการณ์:

6 ปีขึ้นไป

ทักษะ:

Product Development, Project Management, Risk Management, Problem Solving, Recruitment

ประเภทงาน:

งานประจำ

• Manage an enterprise-sized solution base of more than 6,500 endpoints.
• Provide technical support and perform maintenance, Upgrade / install application or operating system software and hardware.
• Provide 1st level security solution support ensuring specified service levels are met.
• Perform service monitoring and reporting, with a focus on risk management and compliance.
• Explore new solutions, enhancements and opportunities for continuous improvement, projects and more.
• Perform the acquisition, provisioning and decommissioning of related equipment, hardware/software and services.
• Lead projects and change management initiatives.
• Able to quickly attain an understanding of the functionality and technology of operating systems as well as an understanding of business critical applications and their potential major issues.
• Able to provide input to and work with the larger security team members to develop and refine additional monitoring content and use cases. Keep and relay detail status reports of daliy/weekly/monthly activity.
• Knowledge/Skills/Competencies.
• Knowledge of computer operations/Windows OS (server and client) and the desktop operating environment. Linux and other mainstream OS knowledge will be helpful.
• Knowledge of networking.
• Strong knowledge of end-point security management tools and processes.
• Strong knowledge of Information Security.
• Intermediate level of understanding in Project Management as well as Change Management.
• Knowledge of IT requirements for an end to end solution, including security, business continuity and disaster recovery.
• Knowledge of team budget and tracking mechanisms.
• Knowledge of IT delivery/operations, analysis, design and development.
• Ability to predict, detect and respond to potential malicious factors.
• Strong leadership skills and ability to work in a team environment.
• Strong customer service orientation.
• Strong analytical, troubleshooting and problem solving skills.
• Good communication (both oral and written) and documentation skills.
• Leadership and teamwork skills.
• Ability to plan projects and tasks.
• Physical Demands.
• Duties of this position are performed in a normal office environment.
• Duties may require extended periods of sitting and sustained visual concentration on a computer monitor or on numbers and other detailed data. Repetitive manual movements (e.g., data entry, using a computer mouse, using a calculator, etc.) are frequently required.
• Typical Experience.
• 4 to 6 years of relevant experience in a similar role or industry.
• Typical.
• Education.
• Bachelor's Degree or consideration of an equivalent combination of education and experience.
• Educational Requirements may vary by Geography.
• Notes.
• This job description is not intended to be an exhaustive list of all duties and responsibilities of the position. Employees are held accountable for all duties of the job. Job duties and the % of time identified for any function are subject to change at any time.
• Celestica is an equal opportunity employer. All qualified applicants will receive consideration for employment and will not be discriminated against on any protected status (including race, religion, national origin, gender, sexual orientation, age, marital status, veteran or disability status or other characteristics protected by law).
• At Celestica we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. Special arrangements can be made for candidates who need it throughout the hiring process. Please indicate your needs and we will work with you to meet them.
• Celestica (NYSE, TSX: CLS) enables the world's best brands. Through our recognized customer-centric approach, we partner with leading companies in Aerospace and Defense, Communications, Enterprise, HealthTech, Industrial, Capital Equipment and Energy to deliver solutions for their most complex challenges. As a leader in design, manufacturing, hardware platform and supply chain solutions, Celestica brings global expertise and insight at every stage of product development - from drawing board to full-scale production and after-market services for products from advanced medical devices, to highly engineered aviation systems, to next-generation hardware platform solutions for the Cloud. Headquartered in Toronto, with talented teams spanning 40+ locations in 13 countries across the Americas, Europe and Asia, we imagine, develop and deliver a better future with our customers.
• Celestica would like to thank all applicants, however, only qualified applicants will be contacted.
• Celestica does not accept unsolicited resumes from recruitment agencies or fee based recruitment services.

ทักษะ:

Power BI, Kafka, Cloud Computing, Git, SQL

ประเภทงาน:

งานประจำ

• Nawamin Road, Thailand.
• Full-time.
• Workplace: on_site.
• Department: Technology.
• We are seeking an experienced.
• Senior Data Engineer.
• to own the pipeline-standardization and data-quality program for the enterprise lakehouse. This role ships compliance gates that block non-compliant deployments, stands up the data-quality framework, builds the dashboards business users trust, and drives measurable reductions in data incidents across the retail data estate.
• Design, ship, and operate a pipeline-compliance checker that validates naming, metadata, config schema, DQ-rule declarations, and cluster-policy reference on every new deployment.
• Deploy a data-quality framework (Great Expectations, Databricks DQ Rules, or equivalent) across new production pipelines; build a domain onboarding template; configure alert routing by severity.
• Build and publish the Data Quality Dashboard - quality health by domain, source, table; near-real-time refresh; freshness, completeness, accuracy.
• Establish Source Change Management agreements with key source systems (SLA contracts, change-request process, automated schema-change alerting); map source lineage end-to-end.
• Lead the migration playbook to bring the legacy pipeline estate to standard; mentor engineers executing migration; own the playbook, not every migration.
• Drive data-incident reduction through prevention (compliance gate, DQ framework, DCM, lineage), not reactive firefighting; lead incident response and post-mortems for major DQ failures.
• Partner with platform engineering on Event Stream domain-event schemas and data-product contracts.
• Author runbooks, code review at senior level, and contribute to engineering culture.
• Bachelor's degree in Computer Science, Data Engineering, or a related discipline.
• 5+ years designing, building, and operating production data pipelines on a major lakehouse or warehouse (Databricks, Snowflake, BigQuery).
• Strong PySpark and SQL; understands Spark performance tuning at production scale.
• Deep experience with data-quality frameworks (Great Expectations, dbt tests, Soda, Monte Carlo) - has defined SLAs, set thresholds, tuned alert noise.
• Built and operated medallion / multi-layer lakehouse architectures with explicit transformation layers.
• Solid Git / CI experience for data code; opinions on testing data transformations.
• Comfortable defining and enforcing standards (naming, partitioning, retention, PII tagging) and reviewing PRs against them.
• Cloud platform experience (Azure preferred; AWS / GCP transferable).
• Preferred.
• Streaming experience (Spark Structured Streaming, Delta Live Tables, Flink, Kafka Streams).
• Data modeling discipline (Kimball, Data Vault 2.0) with clear rationale; Unity Catalog production experience (lineage, tags, RLS).
• Retail data exposure - POS, inventory, replenishment, loyalty - and BI optimization for Power BI consumption.
• Vendor certifications such as Databricks Data Engineer Professional or Azure Data Engineer Associate.
• Apply.
• Apply at CP Axtra](https://apply.workable.com/joinmakropro/j/2056DE169C/apply).

ทักษะ:

DevOps

ประเภทงาน:

งานประจำ

• Suan Luang, Thailand (Hybrid).
• Full-time.
• Workplace: hybrid.
• Department: Software Engineering.
• MakroPRO is an exciting new digital venture by the iconic Makro. Our proud purpose is to build a technology platform that will help make business possible for restaurant owners, hotels, and independent retailers, and open the door for sellers. MakroPRO brings together the best talent across multi-nationals to transform the B2B marketplace ecosystem. We welcome bold, energetic, and thoughtful people who share our belief in collaboration, diversity, excellence, and putting customers at the heart of our work.
• Take your career to new heights in the future of B2B e-commerce. Join our team and help us build Southeast Asia's next unicorn.
• Your Challenge.
• The DevOps Engineer helps increase speed of delivery, improve quality/security of code, and optimize processes for development team. The DevOps Engineer is responsible for identifying the bottlenecks of various development and delivery processes, working with team members to improve them, and improving the overall experience of developers. They are responsible for infrastructure-as-code deployment tooling and supporting services on multiple cloud provides along with metrics and login.
• Works closely with Tech Leads and developers of various teams to develop automation pipelines and CI/CD.
• Develops self-serve tools/artefacts to development teams to support the SDLC (e.g. containerized dev env, testing env etc.).
• Configures the infrastructure using IaaS/PaaS products and own developed tools.
• Actively participates in deploying application artifacts to appropriate target environments using the supported technologies and infrastructure.
• Participates in planning delivery time, code quality, and process efficiency improvement projects.
• Performs maintenance tasks as infrastructure health checks and monitoring.
• Identifies bottlenecks in development and deployment processes and designs automation solutions to mitigate.
• Maintains and grows knowledge of platform configuration management, monitoring, and troubleshooting.
• Collaborates with the rest of DevOps team to deliver consistent and holistic solutions to the organization.
• Excellent scripting skills (e.g. Python, Bash, Perl).
• Experienced with building and maintaining large scale, cloud-based container-based platforms (in IaaS and PaaS).
• Working knowledge of deployment automation solutions (i.e. Terraform, Puppet, Chef, Ansible).
• Experienced AWS platform (certification is a plus).
• Experienced with containers and Kubernetes.
• Experienced with continuous integration and related tools such as GitlabCI, Jenkins, Hudson, Maven, Ant, Git, Sonar, etc.
• Familiar with security automation tools such as static application security testing etc.
• Strong understanding of Agile methodologies.
• Experience as a DevOps or SRE Engineer on a cross-functional agile team preferred.
• Health Insurance - At Maknet, we care about your health! Group insurance from a top insurance company is included in your benefits - OPD, IPD, Emergency OPD.
• Provident Fund - Maknet cares about your long-term plan! We offer 3% provident fund.
• Year-end bonus - We include variable and performance bonus for our employees.
• Gym Facilities - Our Head office has a fitness center, yoga room, and recreational space. Enjoy Bangkok scenery and work your body!.
• Attractive Vacations days - Enjoy our attractive annual leave. Let's say the minimum is 18 days!.
• Flexible working hours - We know people have different productive cycles. Choose your way of work whether you are a night owl or an early riser.
• No overtime - We work 5 days a week with. We set our own goals and deadlines.
• Cool hardware - New MacBook. The tool to help you be the best of yourself.
• Free car parking space - No more stress or extra cost if you drive to work. We offer free parking space for our employees.
• Best Culture.
• Clear focus.
• Diverse Workplace (Our members are from around the world!).
• Thai and Non-Thai are both welcome!.
• Non-hierarchical and agile environment.
• Growth opportunity and career path.
• Apply.
• Apply at CP Axtra](https://apply.workable.com/joinmakropro/j/A499D2B4BD/apply).

ทักษะ:

Python, Cloud Computing, SQL

ประเภทงาน:

งานประจำ

• Nawamin Road, Thailand.
• Full-time.
• Workplace: on_site.
• Department: Technology.
• The ML Engineer builds the classical retail-ML cores that power the highest-stakes agents on an AI-native retail decisioning platform - demand forecasting that must beat a legacy system, replenishment and allocation models, causal-insight models for executive narratives, and pricing / promotion / markdown / assortment models. The role consumes the enterprise MLOps platform (model registry, drift detection, feature store, library wrappers) and contributes use-case-specific implementations.
• Remote candidates outside of Thailand are welcome to apply.
• Build, train, evaluate, and deploy classical retail ML models - forecasting, replenishment, allocation, causal inference (DoWhy / EconML), pricing elasticity, promotion lift, markdown optimisation, assortment.
• Use company-curated classical ML wrappers (Prophet, statsmodels, DoWhy / EconML, LightFM, scikit-learn, XGBoost, LightGBM) - do not rebuild open-source libraries from scratch.
• Author per-model evaluation methodology appropriate to each model class (forecast MAPE, classification accuracy / precision / recall, causal precision).
• Register every model in the enterprise Model Registry with model cards; configure drift-detection thresholds; use the enterprise Feature Store for shared features.
• Beat a legacy forecasting system by a measurable margin (MAPE improvement) and document evidence for trust-gate progression alongside the legacy run.
• Build causal models for executive-insight agents using DoWhy or EconML; document causal assumptions; ensure mandatory citations for narrative outputs.
• Partner with AI Engineers on ML model agent integration (invocation contracts, latency budgets, fallback behaviour); co-design HITL gate criteria for ML-heavy agents.
• Partner with Suite Product Owners on BU adoption, gate criteria, success metrics; document per-model business value (forecast accuracy.
• inventory savings, replen accuracy.
• stock-out reduction).
• Bachelor's or Master's degree in Computer Science, Statistics, Applied Mathematics, or a related discipline.
• 5+ years building production ML systems with retail or commercial decisioning models (forecasting, replenishment, pricing, recommendation, or comparable).
• Strong Python and Spark / PySpark; SQL fluency.
• MLOps consumer experience - has registered models, configured drift, used a feature store.
• Cloud + Databricks (or equivalent lakehouse) production experience; Azure preferred.
• Causal inference exposure (DoWhy / EconML).
• Eval discipline - knows how to design appropriate evals per model class.
• Retail / commerce domain fluency or rapid acquisition.
• Preferred.
• Retail forecasting at multi-store / multi-SKU scale; promotional lift / markdown optimisation in production.
• Causal inference in commercial decisioning; replenishment / allocation algorithms.
• Online learning / near-real-time inference.
• Vendor certifications such as Databricks Machine Learning Professional or Azure AI Engineer Associate.
• Apply.
• Apply at CP Axtra](https://apply.workable.com/joinmakropro/j/D0BCDFFF49/apply).

ทักษะ:

Python, Cloud Computing, SQL

ประเภทงาน:

งานประจำ

• Nawamin Road, Thailand.
• Full-time.
• Workplace: on_site.
• Department: Technology.
• The Senior ML Engineer (MLOps) owns the transition from ad-hoc ML deployments to a registered, monitored, governed ML platform - the lifecycle every data scientist and ML practitioner across the company uses. The role also curates a wrapper layer over open-source classical ML libraries (forecasting, causal, recommender, tabular) so retail algorithms ship on company-standard adapters rather than per-team reinventions.
• Define and document the end-to-end MLOps lifecycle (experiment.
• train.
• register.
• approve.
• deploy.
• monitor.
• retrain) and enforce it via CI/CD gates.
• Stand up and operate the Model Registry (MLflow / Databricks Unity Catalog Models) as the single source of truth; ensure 100% of production models are registered, versioned, and tagged with model cards.
• Implement data drift, prediction drift, and performance-degradation monitoring with appropriate alerting and retraining triggers.
• Lead build / buy evaluation for a Feature Store; deploy a POC and eliminate train / serve skew end-to-end.
• Audit existing production ML models; register, document, and migrate each into the standard lifecycle; retire or consolidate models that cannot be justified.
• Curate and own a company-standard wrapper layer over open-source classical ML libraries (Prophet, statsmodels, DoWhy / EconML, LightFM, scikit-learn, XGBoost, LightGBM) with standard interfaces, lineage hooks, eval-harness integration, and CI/CD templates.
• Partner with Data Governance on the model-governance gate in the deployment pipeline; support audit and compliance evidence.
• Mentor data scientists on engineering discipline (reproducibility, lineage, rollback) and lead incident response for degraded production models.
• Bachelor's or Master's degree in Computer Science, Statistics, Applied Mathematics, or a related discipline.
• 5+ years building and operating ML systems in production (not only notebooks).
• Deep MLOps experience: model registry, experiment tracking, CI/CD for training and serving, versioning, approval gates.
• Built or operated drift detection for data and predictions in production; understands the difference and the right alert thresholds.
• Strong Python and Spark / PySpark; SQL fluency; cloud and Databricks (or equivalent lakehouse) production experience.
• Comfortable designing train / serve parity patterns and feature pipelines.
• Experience with at least one major MLOps stack (MLflow, Kubeflow, Vertex AI, SageMaker).
• Can write runbooks, lead incident response, and translate business KPIs into model SLOs.
• Preferred.
• Feature store production experience (Databricks Feature Store, Feast, Tecton).
• Retail ML use cases - demand forecasting, pricing optimisation, assortment, recommender, churn, uplift modelling.
• Causal inference and experimentation (A/B, switchback, geo-experiments) using DoWhy or EconML.
• Vendor or industry certifications such as Databricks Machine Learning Professional or Azure AI Engineer Associate.
• Apply.
• Apply at CP Axtra](https://apply.workable.com/joinmakropro/j/2D5D749B60/apply).

ประสบการณ์:

3 ปีขึ้นไป

ทักษะ:

Automation, Leadership Skill, Power BI, DevOps

ประเภทงาน:

งานประจำ

• Nawamin Road, Thailand.
• Full-time.
• Workplace: on_site.
• Department: Technology.
• The Senior Service Engineer (Lead) is the most senior technical operations role within the Service Engineering team. This individual leads production reliability strategy, defines operational standards, and provides technical and organizational leadership to the team. The Senior Service Engineer (Lead) bridges the gap between hands-on technical operations and business stakeholder communication, ensuring the data and analytics platform runs at the highest standards of reliability and efficiency.
• Production Monitoring & Reliability.
• Define and own monitoring standards, alerting thresholds, and reliability strategies across ADF pipelines and Databricks environments.
• Lead continuous improvement initiatives to enhance system observability and reduce mean time to resolution (MTTR).
• Review and approve monitoring frameworks proposed by the team.
• Incident Management.
• Lead resolution of major incidents (P1/P2), including coordination across teams and stakeholder communication during outages.
• Own the post-mortem process: facilitate blameless reviews and drive preventive action plans.
• Define escalation policies and incident severity classifications.
• Ticket & SLA Management (UV Desk).
• Manage and optimize the end-to-end ticket workflow from Business Units.
• Define, monitor, and enforce SLA policies for all operational tickets.
• Produce weekly/monthly SLA performance reports for management.
• Data Issue Support & Process Improvement.
• Lead initiatives to reduce recurring data quality issues reported by Business Units.
• Approve RCA findings and oversee corrective action implementation.
• Collaborate with Data Engineering to introduce upstream fixes.
• ADF & Databricks Operations.
• Define operational standards for ADF pipeline management and Databricks job governance.
• Review and sign off on operational runbooks created by the team.
• Drive adoption of best practices in pipeline monitoring and failure recovery.
• Automation Roadmap.
• Define and own the automation roadmap for operational tasks (monitoring, alerting, self-healing).
• Evaluate and approve automation tools and frameworks built by the team.
• Track automation ROI and report efficiency gains to leadership Power BI Operational Governance.
• Define and enforce BI operational governance policies (dataset refresh SLAs, failure procedures).
• Coordinate with BI developers on refresh pipeline improvements.
• Documentation Standards.
• Own and enforce operational documentation standards across the team.
• Ensure all runbooks, playbooks, and knowledge base articles meet quality and completeness requirements.
• Stakeholder Communication.
• Serve as the primary escalation point for Business Units and senior management on operational issues.
• Communicate system status, incident updates, and platform reliability metrics to leadership.
• Build and maintain relationships with Data Engineering, DevOps, and Analytics teams.
• Team Leadership & Development.
• Lead, coach, and develop the Service Engineering team.
• Assign tasks, set priorities, and manage team workload to ensure operational coverage.
• Conduct performance reviews and provide career development guidance.
• Define team goals, OKRs, and track progress against operational KPIs.
• Operational Strategy.
• Define the multi-quarter roadmap for platform operations, reliability, and automation.
• Identify and prioritize platform risks and drive remediation planning.
• Provide strategic recommendations on tooling, processes, and team structure.
• 3+ years of experience in service engineering, site reliability engineering, or production operations.
• 1+ years in a lead or team lead capacity in a technical operations environment.
• Proven track record of managing high-severity incidents and driving post-mortem processes.
• Technical skills: Azure Data Factory (ADF), Databricks, Monitoring & Observability, Automation/ Scripting, Power BI Operations and Ticket Management (UV Desk).
• Strong leadership and people management skills with the ability to motivate and develop a technical team.
• Excellent communication skills for both technical and executive audiences.
• Strategic thinking with the ability to translate operational insights into platform improvement roadmaps.
• Conflict resolution and stakeholder management skills.
• Apply.
• Apply at CP Axtra](https://apply.workable.com/joinmakropro/j/4A43F7B1F6/apply).

ประสบการณ์:

7 ปีขึ้นไป

ทักษะ:

Electrical Engineering, Petrochemical, Procurement, Recruitment, Automation

ประเภทงาน:

งานประจำ

• Lead project execution - Manage the electrical engineering scope of capital projects from feasibility through closeout, ensuring safe, timely, and cost-effective delivery.
• Design electrical systems - Develop and review medium- and low-voltage distribution, MCCs, transformers, switchgear, cables, grounding, protection systems, and related infrastructure.
• Develop capital projects - Support feasibility studies, FEL/FEED deliverables, scope ...
• Manage contractors and consultants - Coordinate engineering consultants, EPC contractors, suppliers, technical deliverables, schedules, quality, and costs.
• Support construction and commissioning - Provide field engineering support during construction, pre-commissioning, commissioning, start-up, and performance testing.
• Ensure safety and compliance - Confirm designs and installations meet applicable codes, engineering standards, environmental requirements, and company safety expectations.
• Improve reliability and collaborate - Enhance electrical reliability, maintainability, energy efficiency, and operational performance while partnering with Operations, Maintenance, Reliability, EHS, Automation, and Procurement.
• Bachelor's degree in Electrical Engineering or a related engineering discipline.
• Minimum 7 years of experience in industrial manufacturing, food processing, chemical, petrochemical, energy, or a similar processing industry.
• Experience delivering capital projects involving electrical systems and infrastructure, including FEL/FEED, EPC execution, or brownfield projects.
• Knowledge of power distribution, MCCs, transformers, switchgear, protection systems, industrial electrical installations, and electrical safety requirements.
• Ability to travel across multiple sites and good written and spoken English.
• A capable project leader with strong stakeholder management, communication, and problem-solving skills.
• A safety-focused engineer who applies sound technical judgment and engineering standards.
• A collaborative partner who works effectively with plant teams, consultants, contractors, and suppliers.
• Organized and commercially aware, with attention to schedule, cost, quality, and risk.
• Knowledgeable in industrial automation, instrumentation, energy management, power-quality analysis, or electrical reliability programs; a PE license is advantageous.
• Why Join Ingredion?.
• Total Rewards Package - Competitive salary and performance-based pay recognizing your contributions to our success.
• Comprehensive Benefits & Wellness Support - Health, long-term savings, and resources for your physical, mental, and emotional well-being.
• Career Growth - Learning, training, and development opportunities.
• Employee Recognition Program - A culture of real-time appreciation, with personalized recognition rewards globally.
• Employee Referral Program - Refer top talent and earn a bonus if they are hired.
• Thailand Benefit - Exclusive housing loan rates with the Government Housing Bank.
• About.
• Privacy Notice - English.
• Privacy Notice - Thai.
• Relocation available: No.
• Ingredion uses AI-enabled tools to support parts of the recruitment process, including resume screening and interview scheduling. These tools help match candidate skills to job requirements and streamline communication. All AI-assisted decisions are reviewed by our Talent Acquisition team to ensure fairness and compliance with applicable laws. By applying, you acknowledge that AI may be used to support your application journey.
• Yes, Within Country.

ประสบการณ์:

5 ปีขึ้นไป

ทักษะ:

Software Development

ประเภทงาน:

งานประจำ

• Bangkok, Thailand.
• Full-time.
• Workplace: on_site.
• Department: Technology.
• Working Location: Empire Tower (100% onsite, accessible via BTS Chong Nonsi).
• Role Summary.
• We are looking for an Senior Engineer, Software Development to join our team in Thailand. The candidate will support backend development for both existing payment platforms and new payment solutions.
• The ideal candidate should have good backend development skills, basic understanding or interest in the payment / fintech / financial domain, good English communication, and willingness to learn and use AI tools to improve software development efficiency.
• Development of reliable and critical services of the payment platform.
• Design and develop new features and enhancements on the payment sub-systems such as transaction processing, merchant services, refund, settlement, reconciliation, reporting, and partner integration.
• Analyse impacts and build APIs, backend services, batch jobs, and system integration components to be compatible on both legacy and new payment platforms.
• Collaborate with cross function teams such as Product, DevOps, Business, and support teams to ensure the Business requirements are fulfilled.
• Understand business requirements and identify technical gaps, risks, dependencies, and edge cases before development starts. Then collaborate with team members to troubleshoot and resolve production incidents, and system improvement.
• Guide junior and mid-level engineers on implementation approach, coding standards, and troubleshooting.
• Review code quality and ensure proper design, performance, security, and maintainability.
• Take responsibility for end-to-end module understanding, design, development, testing support, deployment support, and production issue follow-up.
• Ensure the module is stable, maintainable, and aligned with product and technical requirements.
• Propose practical and scalable technical solutions for assigned modules.
• Apply AI Coding tools (Claude, Codex, Kiro) to increase development efficiency and code quality.
• Required.
• Bachelor's degree in Computer Science, IT, Software Engineering, or related field.
• At least 3-5 years of software development experience, preferably in backend development and familiarity with basic SDLC including Agile development.
• Solid programming ability in at least one backend technologies such as Java, C#.NET, Python, or similar, building REST APIs, system integration, and backend service development.
• Foundational knowledge with both TSQL databases (SQL Server, MySQL) and No-SQL databases and distributed systems.
• Hand-on experience on some of the AI Coding development tools (Claude, Codex, Kiro).
• Strong analytical and problem-solving skills to break down complex problems, understand requirements, identify root causes to deliver reliable backend solutions and willingness to apply new technologies (leveraging AI) to enhance productivity.
• Good communication skills and teamwork.
• Payment Domain Knowledge.
• Payment gateway.
• Card payment acquiring or issuing.
• Authorization, capture, void, refund, and reversal.
• Merchant integration.
• Settlement and reconciliation.
• QR payment, wallet payment, bank transfer, or PromptPay.
• Payment security, encryption, tokenization, or PCI DSS.
• We offer an attractive remuneration package, a fast-paced and exciting working environment, and provide challenging opportunities for life-long learning and career development.
• Interested candidates are invited to send your comprehensive resume with current and expected salary package via this job ad. Please note that only shortlisted candidates will be notified.
• Please consult our Candidate Privacy Notice to know more about how we collect, use, transfer and disclose our candidates' information: [https://2c2p.com/candidate-privacy-notice.](https://2c2p.com/candidate-privacy-notice.).
• By submitting your resume and information, you understand, acknowledge, and consent that your personal data will be processed in accordance with our Candidate Privacy Notice. You consent to the collection, use, transfer and disclosure of your personal data as well as to receive email and/or other electronic messaging communication from 2C2P.
• Apply.
• Apply at 2C2P](https://apply.workable.com/2c2p/j/1928BA507A/apply).

ทักษะ:

Good Communication Skills, Electronics, English

ประเภทงาน:

งานประจำ

• Diagnosing and maintain probe card to it specifications.
• To troubleshoots, repairs and maintain various electronic components.
• Uses various tools to identify hardware/board problem and malfunction in circuitry.
• Interpret schematics diagrams, repair and replace electronic components.
• Determine if hardware malfunction can be repaired or new hardware is necessary.
• Maintaining inventory of parts, orders and stores parts.
• To lead a repair and upskills technicians debugging skills.
• Work with TE to source for obsolete components replacement.
• Work with TE to replace non-robust components.
• Maintain detailed records of all repair and maintenance activities.
• Collaborate with the production/UPE team to identify and address any recurring issues.
• Continuously seek opportunities to improve processes and enhance the reliability of probe test cards.
• Create and maintain probe card recipe.
• Your profileQualifications and skills to help you succeed.
• Degree in Electronic/Mechatronic Engineering.
• An electronics or mechatronics qualification, or relevant experience.
• Skilled worker in the field of electronics, mechatronics, industrial mechanics or comparable.
• Pleasure in practical work.
• High sense of quality and responsibility.
• High level of concentration, very good fine motor skills as well as three-dimensional vision at the microscope.
• Independent, engaged and goal-oriented way of working and motivation.
• Good communication skills and ability to work in a team.
• Good knowledge of English.
• WeAreIn for driving decarbonization and digitalization.As a global leader in semiconductor solutions in power systems and IoT, Infineon enables game-changing solutions for green and efficient energy, clean and safe mobility, as well as smart and secure IoT. Together, we drive innovation and customer success, while caring for our people and empowering them to reach ambitious goals. Be a part of making life easier, safer and greener.Are you in?We are on a journey to create the best Infineon for everyone.
• We strive to create the best Infineon for everyone by embracing diversity and inclusion. We welcome applicants for who they are and offer a workplace built on trust, openness, respect and equal opportunity.
• Our hiring decisions are based on skills and experience. Even if you don't meet every requirement, we encourage you to apply.
• Please let your recruiter know if you need any accommodations during the interview process.
• Learn more about our various contact channels and about Diversity & Inclusion at Infineon.