Top AWS Jobs in Singapore

Designs and maintains scalable batch and real-time data pipelines, data warehouses, lakes, marts, and APIs. Extracts, cleans, transforms, and integrates data using cloud platforms and big-data frameworks. Develops reliable ETL/ELT solutions, supports backend applications, applies data governance and security practices, and collaborates with architects, analysts, developers, designers, and project managers in an Agile environment.

Develop responsive web and mobile applications with React, TypeScript, and React Native; build Node.js backend services and REST APIs; integrate third-party and enterprise systems; work with relational and NoSQL databases; write tests; maintain Git and CI/CD workflows; containerize and deploy applications on AWS; apply secure coding practices; troubleshoot production issues; and collaborate in Agile teams through releases and support.

Design, build, operate, and improve enterprise IAM and secrets-management solutions for non-human identities. Integrate applications, APIs, containers, CI/CD and cloud platforms; automate tooling and IaC; provide production support, monitoring, incident response, documentation, and embed security controls across the SDLC.

Build and own scalable full-stack products across web, mobile, and backend systems. Develop React and TypeScript applications, contribute to React Native mobile apps, and integrate Scala or Go backend services on AWS. Responsibilities include frontend architecture, performance, accessibility, testing, security, technical design, production ownership, code review, mentoring, and cross-functional collaboration.

Design and implement analytics, optimization, and web solutions to improve semiconductor manufacturing efficiency. Develop models for scheduling, capacity, and cycle time, collaborate with stakeholders, manage project requirements and deliverables, and communicate findings to varied audiences.

The AI Platform Specialist will manage UOB's AI platform, support AI use cases, ensure compliance and drive user engagement across the organization.

The VP, Infrastructure Engineer will build and support a secure IT infrastructure, manage systems, and enhance processes while ensuring compliance with regulatory standards.

The Cloud Infrastructure Engineer will manage AWS and OpenShift environments, perform incident management, and ensure high availability and resilience through effective monitoring and troubleshooting.

Lead the design, deployment, administration, security, and lifecycle management of Red Hat OpenShift infrastructure across enterprise environments. Oversee cluster operations, upgrades, capacity planning, monitoring, performance optimization, incident resolution, disaster recovery, and platform security. Drive infrastructure automation, CI/CD integration, testing, and production implementations while partnering with application, security, architecture, and cloud teams. Mentor engineers, manage stakeholders, document operational procedures, and address risks affecting system availability and stability.

Serves as the primary technical and account contact for premium customers, deploying and maintaining security solutions, resolving incidents, managing support cases, and advising on threats. The role partners with cloud, DevOps, IT, application, development, and SOC teams; provides documentation, reporting, training, technical reviews, and crisis support; and supports implementations, pre-sales, and customer retention activities.

Designs, builds, automates, and operates secure, scalable cloud platforms across AWS, Azure, and/or GCP. Responsibilities include Kubernetes and Docker containerization, Terraform and Ansible automation, CI/CD pipeline development, cloud networking and security, observability, troubleshooting, reliability improvement, and cost optimization. The engineer collaborates with architects, developers, QA, security teams, and clients while promoting reusable infrastructure, engineering standards, and continuous improvement.

Own analytical quality for a global manufacturing Control Tower, translating operational data into KPIs, forecasts, scenarios, early-warning signals, performance narratives, and recommendations. Frame complex decisions, apply statistics, forecasting, machine learning, and AI, validate models, monitor performance and data quality, and lead analytical workstreams with cross-functional stakeholders. Build prototypes using Python, SQL, R, BI tools, and cloud technologies while communicating insights and limitations to senior leaders.

Architect and lead the transformation of legacy monolithic systems into scalable, secure, multi-region cloud-native microservices. Design distributed systems, data synchronization, failover, traffic routing, disaster recovery, and data-residency solutions. Establish architecture standards, documentation, and review processes while mentoring engineering teams and collaborating with security, product, operations, and business stakeholders. Guide containerized and Kubernetes-based deployments across major cloud platforms and evaluate emerging distributed systems and AI/ML technologies.

Leads and manages software engineering teams, including hiring, coaching, performance management, talent development, and resource planning. Designs, implements, and deploys high-quality Java and Angular software components and APIs. Drives code quality, testing, CI/CD automation, operational excellence, process improvements, risk management, and compliance. Serves as a technical subject matter expert across distributed systems, algorithms, data structures, networking, and cloud platforms.

Leads software engineering teams responsible for designing, developing, testing, and deploying high-quality digital software. Manages talent development, hiring, performance, resource planning, and delivery outcomes. Oversees mobile application release lifecycles, quality gates, defect resolution, CI/CD improvements, code reviews, and operational excellence. Partners with cross-functional technology and business teams while ensuring security, compliance, risk management, and adherence to company policies.

Designs, develops, and optimizes large-scale data processing pipelines using Spark, Scala, Hadoop, Elasticsearch, and Quantexa. Responsibilities include data transformation, integration, performance tuning, data quality, governance, monitoring, documentation, and deployment on OpenShift. The role also supports system integration, coding, environment setup, CI/CD, troubleshooting, and technical solution development across project lifecycles.

Maintain highly available application systems through monitoring, alert response, on-call support, incident handling, health checks, and performance optimization. Build secure, compliant access and auditing processes, manage changes and releases, develop rollback strategies, and automate operational workflows. Optimize infrastructure and resource allocation, contribute to architecture decisions, and maintain technical documentation. The role requires cloud platform operations experience and familiarity with containers and CI/CD tools.

Build and operate scalable backend services and APIs for an AI-driven legal platform. Responsibilities include asynchronous message-queue processing, document data pipelines, PostgreSQL schema and query optimization, authentication and authorization, search and vector storage integration, observability, automated testing, CI pipelines, technical design, production support, and on-call participation.

Build and maintain AIOps platform core infrastructure (monitoring, alerting, FinOps). Maintain internal R&D tooling (GitLab, Nexus, Sonar). Manage multi‑cloud monitoring data collection, alert governance, and cost visualization. Support cloud security operations including alert management and compliance auditing.

Plan and execute risk-based IT, process, policy, and technical audits across government agencies. Lead stakeholder engagements through planning, fieldwork, reporting, response review, and follow-up. Evaluate ICT governance, cybersecurity, risk management, and controls against recognized frameworks. Develop risk-based remediation recommendations, assess root causes, validate corrective actions, and maintain audit findings in a central repository.

Manage and optimize servers, cloud platforms, storage, and network infrastructure; implement cybersecurity controls and incident response; support end-user devices and IT operations; administer backups and disaster recovery; evaluate and drive AI-driven automation; coordinate projects and vendors, and maintain technical documentation and SOPs.

Design, deploy, and maintain AWS and Databricks data infrastructure, data lakes, and scalable ETL pipelines. Build custom ingestion services and connectors using Airbyte, Go, and Python; optimize performance, reliability, monitoring, and data quality. Implement cloud data governance, security, access controls, encryption, and compliance practices while collaborating with platform engineers, analysts, and stakeholders.

Build, maintain, and optimize scalable full-stack applications using React.js and Java. Develop microservices and API integrations, manage CI/CD pipelines, and architect cloud infrastructure on AWS or Azure using Kubernetes, EKS, or AKS. Troubleshoot frontend, backend, and infrastructure issues while improving application performance, security, and scalability. Collaborate cross-functionally and apply modern full-stack development practices.

Develop and maintain backend services using Java, microservices, Spring Boot, REST APIs, AWS, and Kubernetes. Apply object-oriented programming, test-driven development, JUnit, build automation, and CI/CD practices. Collaborate with a leading client and communicate effectively with technical and business stakeholders. Candidates must be based in Singapore and able to start within four weeks.

Build and operate AI agents, assistants, knowledge-base pipelines, APIs, integrations, and user-facing tools for company-wide AI adoption. Own features from design through production, including testing, CI/CD, observability, security guardrails, responsible AI, metrics, documentation, incident response, and continuous improvement based on internal user feedback.