Top AWS Jobs in Singapore

The Database Support Engineer will resolve complex PostgreSQL issues, provide proactive advice, collaborate with customers, mentor junior staff, and recommend product improvements.

The Database Support Engineer will resolve complex customer issues, optimize workloads, debug edge functions, mentor junior team members, and improve product quality based on real usage.

As a Database Support Engineer, you'll resolve advanced PostgreSQL issues, provide proactive optimization advice, mentor juniors, and improve product quality through customer interactions.

As a Senior Forward Deployed Software Engineer, you will build and deploy applications utilizing AI-driven physical models to optimize engineering processes for clients across diverse industries.

Design, build, and operate scalable, secure cloud infrastructure and CI/CD pipelines. Manage Kubernetes environments, implement IaC (Terraform), improve observability, troubleshoot production issues, support security/compliance, and mentor junior engineers to optimize platform reliability and cost.

Design and deploy ML and RL solutions for air traffic optimization including transformers and RL agents; build RAG and LLM evaluation pipelines; implement MLOps with Kubeflow/Airflow, Docker/Kubernetes, MLflow/W&B; monitor models, automate pipelines, and collaborate with engineering teams for production integration.

Support day-to-day operations, maintenance, and cost analysis for Tencent's overseas game services and platforms. Help ensure high availability of account storage systems via health checks, improve monitoring and alerting, and coordinate cross-functional teams to resolve operational issues.

Design, build, and own scalable, secure microservices and hybrid cloud/on-premise solutions using .NET (.NET Core/.NET 6). Lead architecture, integrations, CI/CD and TDD practices, leverage containerization (Docker), collaborate cross-functionally, and integrate agentic AI tools to accelerate development and validate AI-generated code.

The role involves deploying, maintaining, and optimizing system environments. Responsibilities include managing operating systems, configuring middleware, troubleshooting issues, and collaborating on infrastructure design.

Manage customer lifecycle by ensuring onboarding, adoption, and retention. Analyze usage trends, suggest solutions, drive upselling, and collect product feedback.

The role involves conducting security risk assessments, application security reviews, and cloud security assessments, assisting with security policies, and collaborating with team members for project delivery.

The Full Stack Engineer designs, develops, and maintains scalable web applications, focusing on both frontend and backend technologies within a DevOps environment.

As a Senior Consulting Engineer at ClickHouse, you will provide consultative support, project engineering, and handle technical support for enterprise customers, focusing on scalable database solutions.

The Frontend Engineer will design, build, and maintain software solutions, develop user interfaces, build backend services and APIs, collaborate with teams to implement features, and ensure code quality and system observability.

Fractional DevOps/Cloud Infrastructure Engineer to design and build AWS Dev/UAT/Prod environments, implement Infrastructure as Code with Terraform, create CI/CD pipelines using GitHub Actions, and implement monitoring, logging, alerting, and access/security practices. Fintech/crypto/payments experience preferred. ~20 hours/week, NYC preferred, US remote considered.

Collaborate with research scientists and customers to design, train, and productionise physical foundation models. Scale multi-GPU training, convert prototypes into robust implementations, choose tooling and frameworks, own research workstreams, and translate research into reusable libraries, tooling and products while mentoring colleagues.

Lead technical onboarding of applications, cloud and on‑prem systems into a central cybersecurity monitoring platform. Troubleshoot log generation/forwarding, SIEM ingestion, connectivity and authentication issues; validate telemetry; run onboarding workshops; produce documentation and runbooks; coordinate stakeholders and improve/automate onboarding workflows.

Lead AI-driven CX transformation for strategic APAC customers: design reference architectures, run discovery and prototyping, integrate Genesys AI with CRM/ERP and cloud systems, measure KPIs, ensure security and compliance, and mentor teams to operationalize AI solutions.

Build and productionize cutting-edge GenAI applications (RAG, multi-agent systems, Text2SQL, fine-tuning), deploy and optimize production ML systems on cloud platforms, advise and collaborate with customers and cross-functional product and engineering teams, and represent Databricks externally at conferences.

Pre-sales technical lead for TrendAI in Singapore: guide customers through solution selection, deliver technical demos and trainings, influence security architecture, support sales enablement, work with product and support teams, and drive partner/channel engagement to ensure successful deployments and customer success.

Lead a team to design and build production-grade full-stack tools for game asset pipelines, including agent/LLM harnesses, scalable Python backends, secure REST APIs, frontend interfaces (Vue/React), database optimization, CI/CD, testing, performance tuning, and cross-functional collaboration while mentoring engineers and contributing to architecture.

Build core components of a diagnostic and personalization platform: backend data pipelines, frontends, services for genomic data ingestion, ML model integration, APIs, and cloud infrastructure. Collaborate with product and ML teams, iterate on prototypes and MVPs, and make architectural decisions supporting scalability and reliability.

Lead design and build of an end-to-end AI contract-review agent: prompt orchestration, RAG pipelines, fine-tuning, web UI and tooling, data/model infra, deployment (CI/CD/cloud), and product-driven features like assumption mapping and contract diagnostics.

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.

Lead the development and deployment of AI models focusing on computer vision and text processing. Responsible for enhancing model performance and collaborating with teams to meet business needs.