Top AWS Jobs in Singapore

Develops, designs, tests, troubleshoots, and maintains secure, scalable software components within an agile banking technology team. Writes high-quality Java or Kotlin code, considers system dependencies, supports operational stability, analyzes data to solve technical problems, and applies SDLC automation and AI-assisted development tools. Requires collaboration across system design, application development, testing, security, resiliency, and cloud technologies, with blockchain and modern front-end familiarity preferred.

Leads a pre-sales Solutions Architecture team across multiple countries, partnering with enterprise sales teams to drive customer success, revenue growth, and bookings. Responsibilities include recruiting, retaining, and developing talent; improving sales practices; advising customers on technical solutions; qualifying opportunities; collaborating with Professional Services and Marketing; and coaching the team to exceed business objectives. The role is based in Singapore under a hybrid model and requires up to 30% travel.

Own and grow GitLab’s partner-sourced and influenced revenue across ASEAN. Build strategic relationships with AWS, GCP, major system integrators, cloud-native partners, and AI-native partners. Manage joint business plans, QBRs, Marketplace motions, partner enablement, pipeline generation, and quota attainment. Collaborate with sales, marketing, and regional ecosystem teams while helping shape GitLab’s ASEAN partner coverage model.

Own global production deployments and release operations while designing automated deployment platforms and CI/CD workflows. Coordinate releases, maintenance windows, rollbacks, and emergency deployments; develop standards and operational playbooks; improve reliability and engineering productivity through automation. Build reusable deployment frameworks and self-service workflows using modern infrastructure-as-code and delivery technologies. Collaborate with engineering, SRE, QA, product, release management, and security teams in a hybrid Singapore role.

Build and deploy full-stack AI applications for smart manufacturing, including data pipelines, machine learning models, APIs, web interfaces, LLM integrations, automation tools, and observability. Develop containerized solutions with Docker and Kubernetes/OpenShift, contribute to CI/CD and MLOps practices, integrate robotics and manufacturing systems, and apply Responsible AI controls. Collaborate with data scientists, software engineers, and manufacturing stakeholders to improve operational decision-making and autonomous operations.

Leads the architecture and delivery of production AI products for autonomous semiconductor manufacturing. Responsibilities span data engineering, machine learning, GenAI, full-stack applications, robotics integration, digital twins, simulation, and edge-to-cloud deployment. The role also owns CI/CD, observability, model evaluation, Responsible AI, performance optimization, technical mentorship, and cross-functional delivery across software, manufacturing, robotics, and infrastructure teams.

Designs, builds, and operates secure AWS-native data pipelines and platforms for batch and event-driven workloads. Develops Airflow workflows using Python and SQL, implements tested data transformations, and integrates enterprise, security, and operational data sources. The role embeds data quality, lineage, observability, governance, encryption, access controls, and monitoring. It also contributes to CI/CD, infrastructure as code, documentation, code reviews, incident analysis, and cross-functional solutions supporting risk and regulatory needs.

Drive MongoDB growth by prospecting enterprise technology leaders, building relationships, managing full sales cycles, developing territory plans, generating pipeline, and achieving revenue targets. The role focuses on the Vietnam market and requires strong Vietnamese and English skills, enterprise technology sales expertise, cold-calling ability, and success closing new customers.

Leads cybersecurity alliance programs and go-to-market growth across Asia Pacific. Responsibilities include managing OEM relationships, regional pipelines, forecasts, joint business plans, partner investments, strategic bids, executive engagements, and cybersecurity solution positioning. The role drives revenue growth, profitability, co-innovation, client advisory, thought leadership, and multi-country opportunity execution while collaborating across matrixed teams and technology partners.

Build and operate production custody systems: signing service, key management, chain integrations, and transaction pipelines. Own end-to-end subsystems, integrate new chains, collaborate with cryptography on threshold signing and key recovery, write post-mortems, and produce clear async design docs and PRs.

Lead and scale the engineering organization for a regulated digital-asset custody platform. Own hiring, org design, engineering operations (on-call, incidents, release hygiene), delivery against roadmaps, audit and regulator readiness (SOC 2, SAMA, ISO 27001), and cross-functional alignment. Amplify an existing small, specialized team to meet regulatory and institutional requirements while preserving culture and retention.

Leads Datadog’s ASEAN Sales Engineering organization, overseeing regional strategy, technical sales execution, operational planning, resource allocation, and team performance. Develops frontline leaders, hires and coaches sales engineers, supports strategic enterprise opportunities, and partners with Sales, Product, Marketing, Enablement, and Support. Drives scalable methodologies, customer adoption, forecasting, competitive positioning, and operational excellence across observability and cloud security sales cycles.

Lead the architecture and delivery of complex SaaS applications and platform services across the full stack. Build scalable APIs, databases, cloud-native services, and AI-powered workflows while improving reliability, observability, and developer productivity. Provide technical leadership through architecture reviews, mentoring, engineering standards, and production ownership. The role requires autonomy, deep TypeScript and Node.js expertise, full-stack delivery, internal tooling experience, and experience shipping AI capabilities in production.

Develop and deploy deep learning models for computer vision, voice, and text processing. Responsibilities include data preprocessing, model training and optimization, GPU-based deployment, performance evaluation, unit testing, documentation, and production scaling. The role involves translating business requirements into technical solutions, collaborating with engineering teams, and delivering AI systems for KYC and other financial products.

Undergraduate intern designing, building, documenting, and presenting cloud-service prototypes under mentorship. Projects may include message queues, distributed streaming, media services, and data lakes. The role requires familiarity with AWS, Azure, or GCP; configuration management tools such as Ansible or Terraform; and scripting or definition languages including PowerShell and YAML.

Lead and mentor a team of 10+ engineers across Android, iOS, and backend development. Own mobile and backend architecture, API design, scalability, security, testing, CI/CD, and delivery quality. Stay hands-on through coding and code reviews while guiding technical direction, project execution, hiring, performance management, and career development. Collaborate with Product, Design, QA, and other stakeholders to deliver reliable fintech products at scale.

Design and productionize applied AI systems for game development, including agent workflows, generative 2D/3D/video pipelines, and integrations with creative tools and game engines. Build evaluation frameworks and scalable deployments using Python, FastAPI, AWS, and MLOps practices. Develop proof-of-concepts, optimize inference, decide between pretrained models and fine-tuning, and collaborate with product and creative teams on technical roadmaps.

Develop and administer IT infrastructure, CI/CD platforms, and DevSecOps tooling supporting the application development lifecycle. The role collaborates with product, security, and engineering teams to onboard applications, improve deployment processes, implement security practices, manage incidents, and provision cloud environments through code. Responsibilities also include vendor procurement and implementation management, policy development, automation, troubleshooting, and knowledge sharing. The engineer will work with AWS, Kubernetes, Terraform, Ansible, GitLab, monitoring tools, and multiple databases.

Build and operate production AI platform services, backend APIs, integrations, and LLM-powered agent workflows. Own development end to end, including design, coding, testing, deployment, observability, troubleshooting, and quality improvement. Develop reusable platform capabilities, evaluate AI application performance, and collaborate with engineering, product, security, data science, and business teams. The role requires Python backend expertise, cloud operations, databases, LLM applications, and agentic software development.

Support Barclays’ Internal Audit function through data extraction, cleaning, analysis, visualization, and risk-focused insights. Develop analytics for audit testing, automate manual processes, translate audit requirements into use cases, and ensure data integrity and security. Act as a data analytics contact for audit teams, while coaching staff on SQL and Python. Collaborate globally across time zones, manage competing priorities, and advise stakeholders on complex analytical and control-related issues.

Build and maintain internal developer platform software, APIs, CLIs, infrastructure modules, developer portals, and secure remote development environments. Implement AWS, Kubernetes, GitOps, CI/CD, observability, security, reliability, backup, and recovery capabilities. Improve self-service workflows and developer experience while collaborating with application teams and stakeholders.

Build and maintain cloud platforms, reusable infrastructure modules, deployment pipelines, monitoring, and automation for Singapore government digital products. Responsibilities include infrastructure as code, CI/CD enablement, environment provisioning, observability, incident support, backup and recovery automation, patching, and platform migrations. The role emphasizes secure, reliable, scalable systems and collaboration with product engineering teams.

Design, automate, and maintain secure, scalable cloud infrastructure and CI/CD pipelines. Implement IaC, container orchestration, monitoring, vulnerability assessments, system hardening, security controls, and disaster recovery. Collaborate with developers to integrate security throughout the SDLC and support incident response and operational troubleshooting.

Senior Platform Operations Engineer responsible for day-to-day support and reliability of on-premises and hybrid infrastructure. Lead incident management, vendor coordination, technical and security governance, and support a multi-year infrastructure refresh while maintaining operational stability, runbooks, and stakeholder coordination.

Develop tools and infrastructure for training language models in interactive environments, implement novel methods in language modeling, reinforcement learning and multi-agent systems, and contribute to publications and open-source projects.