Sembcorp is a leadingenergy and urban solutions provider headquartered in Singapore.Led by its purpose to drive energy transition, Sembcorp deliverssustainable energy solutions and urbandevelopments by leveraging its sector expertise andglobal track record.
Purpose and Scope
Lead the design, delivery, andcontinuous improvement of secure, scalable full-stack applications,microservices, cloud-native solutions, and AI-enabled capabilities for GroupCorporate digital initiatives. Guide a team of internal engineering team withprimary delivery on Microsoft Azure while remaining adaptable to adjacententerprise platforms, integration technologies, and evolving multi-platformsolution needs.
Key Roles and Responsibilities
- Define technical architecture standards, engineeringguardrails, and solution design patterns to ensure quality, scalability,security, maintainability, resilience, and performance across enterpriseplatforms.
- Design, deploy, and optimise microservicesarchitectures, including service decomposition, API integration, event-drivenpatterns, observability, and fault-tolerant distributed system practices.
- Lead and mentor software engineering teams, coordinatedelivery plans, review code, and build technical capability across full-stackdevelopment, DevOps, and cloud engineering practices.
- Design, deploy, and optimise AI agents and intelligentworkflow solutions integrated with enterprise applications, data platforms, andbusiness processes.
- Build and maintain CI/CD pipelines, source controlstandards, release workflows, infrastructure automation, and environmentmanagement using Azure DevOps and related tooling.
- Collaborate with product, business, data,cybersecurity, and infrastructure stakeholders to translate businessrequirements into solution architectures, delivery roadmaps, and implementationplans.
- Integrate applications with Azure services such asmessaging, data platforms, and analytics environments including MicrosoftFabric or Databricks where applicable.
- Oversee application lifecycle management, productionsupport, incident resolution, technical risk mitigation, and continuousimprovement of development, deployment, and operational practices.
- Contribute hands-on to software engineering tasksincluding backend services, frontend components, API development, automatedtesting, deployment automation, and technical documentation.
Qualifications & Requirements
- Bachelor’s degree in computer science, SoftwareEngineering, Information Technology, or a related discipline, or equivalentpractical experience.
- Proven experience in a Tech Lead, Lead Developer, orSenior Full Stack Engineer role delivering enterprise-grade software solutions.
- Demonstrated experience designing, deploying, andsupporting microservices architecture in enterprise or large-scale digitalenvironments.
- Experience designing and deploying solutions onMicrosoft Azure, including source repositories, CI/CD pipelines, integrationservices, and container-based deployment approaches.
- Experience deploying AI agents, intelligent automation,or applied AI solutions in production or near-production environments.
- Familiarity with enterprise data platforms such asMicrosoft Fabric or Databricks.
- Working knowledge of Python for automation, AIintegration, data processing, or backend services is an advantage.
- Demonstrated experience leading software engineeringteams, conducting code reviews, and driving delivery outcomes across multipleworkstreams.
- Strong understanding of software architecture,distributed systems, API design, cloud security, DevOps, testing strategy,observability, and operational support practices.
- Ability to engage cross-functional stakeholders,communicate technical concepts clearly, and balance strategic leadership withhands-on delivery.
- Industry-standard certifications are advantageous,including Microsoft Certified: Azure Developer Associate, Microsoft Certified:Azure Solutions Architect Expert, Microsoft Certified: Azure AI EngineerAssociate, Azure Fundamentals, Kubernetes-related certifications, AWS CertifiedMachine Learning - Specialty, Google Professional Machine Learning Engineer, orcomparable cloud, AI deployment, and solution architecture certifications.
- Strong written and spoken English proficiency isrequired to perform the role, including documentation, stakeholdercommunication, and collaboration across business and technical teams.
Our Culture at Sembcorp
At Sembcorp, our culture isshaped by a strong set of shared behaviours that guide the way wework and uphold our commitment to driving the energy transition. We foster aninstitution-first mindset, where the success of Sembcorp takes precedence overindividual interests. Collaboration is at the heart of what we do, as we workseamlessly across markets, businesses, and functions to achieve our goalstogether. Accountability is a core principle, ensuring that we take ownershipof our commitments and deliver on them with integrity and excellence. Thesevalues define who we are and create a workplace where our people can thrivewhile making a meaningful impact on driving energy transition.
Job Snapshot
Updated Date
08-09-2026
Job ID
Job ID4232
Department
Enterprise Applications/People Tech/Platform Ops