Top AWS Jobs in Singapore

Lead and scale APAC post-sales operations: own regional operating model, lead analysts, partner with CS/Support/Services, deliver programs, implement automation and AI-enabled improvements, and provide executive reporting and regional feedback to global standards.

Drive land-and-expand enterprise sales across segments (especially public sector). Qualify opportunities, manage full sales cycles, present proposals, cultivate executive relationships, and expand accounts through upsell and cross-sell.

Embed as a hands-on technical expert within customer teams to design, configure, and optimize Cloudflare solutions. Lead implementations, build automations and prototypes, produce architecture and delivery artifacts (HLD/LLD, runbooks, test/deployment plans), run workshops and knowledge transfer, and act as customer advocate to Cloudflare product and engineering teams while aligning technical outcomes to business objectives.

Lead design and delivery of end-to-end AI solutions for smart manufacturing, including data pipelines, ML/DL models, LLM and agentic AI integration, full-stack front-end/back-end apps, robotics and AMR integration, digital twin and 3D simulation, containerized cloud/edge deployment, CI/CD, observability, and team mentorship.

Support and engineer mission-critical OLTP/OLAP, data warehousing, and NoSQL platforms; ensure 24x7 availability, drive automation with LLM tools and DevOps practices, optimize performance, and collaborate cross-functionally on architecture, resiliency, and platform roadmaps.

The role involves developing AI-driven solutions for semiconductor engineering, focusing on GenAI systems, data pipelines, and machine learning models while collaborating with cross-functional teams.

Design, build, test, deploy, and maintain scalable, resilient cloud-based data pipelines and microservices (primarily on AWS). Implement ETL/ELT, data lake/warehouse solutions, support analytics integration, enforce data quality, and follow Agile DevOps practices with CI/CD and IaC.

Lead design and execution of offensive security assessments and Purple Team engagements, evaluate controls and detection/response, use enterprise-authorized AI to accelerate reporting, advise stakeholders on remediation and risk, and drive continuous improvement of assessment methodologies and tooling.

Lead technical SRE initiatives: design resiliency reviews, mentor engineers, drive reliability improvements, define SLOs and error budgets, lead major-incident response, adopt AI-assisted SRE workflows, and improve CI/CD, observability, and containerized platform stability.

Lead design and deliver high-quality, secure Java-based microservices and web applications. Drive architecture reviews, operational stability, CI/CD automation, and adoption/governance of AI-assisted engineering practices while mentoring engineers and promoting reuse and secure SDLC standards.

Lead design and delivery of a China-focused AI enablement platform: build lightweight UI and backend services, integrate secure APIs to global LLM endpoints, enforce China-specific routing/policy/access controls, ensure compliance, optimize performance, and drive team adoption of AI-assisted engineering practices across the full delivery lifecycle.

Develop and maintain Java services and front-end desktop applications for equities derivatives pricing and trading workflows. Integrate AI/ML autopricers, build scalable cloud-deployed APIs, collaborate with trading, sales and quant teams, and participate in code reviews and delivery lifecycle.

Lead design, development, and deployment of Java-based microservices and scalable systems. Build streaming, reactive services; leverage Kafka, IBM MQ, Redis, Kubernetes, and AWS. Define APIs, ensure logging, security, testing, and performance; drive CI/CD, mentor engineers, and enforce TDD/BDD and high-quality code practices.

Lead AI/ML risk and control activities across APAC to strengthen governance, operational risk management, and regulatory compliance. Partner with business and control stakeholders to define controls, support testing and issue remediation, complete risk assessments, maintain control documentation, analyze metrics for emerging risks, and prepare materials for regulatory exams.

Designs, develops, debugs, and delivers secure, high-quality React-based front-end applications. Produces architecture and design artifacts, creates visualizations from large datasets, provides UI technical leadership, collaborates on standards-based solutions, improves code quality, and participates in engineering communities and events.

Manage a portfolio of enterprise customers in APAC as the primary customer contact to drive retention, renewals, upsell/cross-sell, and expansion. Act as strategic advisor, create account plans, forecast revenue, identify risks and growth via data, and collaborate with internal teams to deliver customer outcomes.

Develop backend services for AI features, integrate AI technologies, ensure service performance, mentor junior engineers, and collaborate in agile teams.

Design and deploy computer vision and deep learning models (CNN, LSTM, transformers) for industrial inspection and anomaly detection; extract, clean, and analyze large multimodal datasets; implement MLOps (MLflow, Airflow, Docker) for production deployments; collaborate across engineering, operations, and quality teams; mentor engineers and contribute research outputs and technical documentation.

Drive revenue growth within assigned territory (Thailand) by prospecting, qualifying, and closing enterprise accounts. Build relationships with CTOs and IT leaders, partner with solution architects, professional services, customer success, and channel partners to expand usage and maximize deal size. Participate in sales enablement and training programs.

Manage a portfolio of mature MongoDB customers as primary contact to drive renewals, upsells, enablement, and customer success. Act as strategic advisor, prospect and multi-thread accounts, negotiate renewals, leverage product signals and data to mitigate risk, and partner across GTM teams to expand MongoDB adoption.

Pre-sales Solutions Architect advising customers on designing, deploying, and optimizing scalable MongoDB-based systems. Collaborate with sales to drive deals through technical discovery, demos, PoVs, and architecture reviews. Generate demand, participate in events, mentor team members, and relay field feedback to product. Focus on cloud and on-prem distributed systems, articulating technical and business value to stakeholders while supporting customer success.

Support system operations for UNIX infrastructure in cloud and on-prem environments, perform administration duties, automation, documentation, and incident response.

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.

As an intern, apply data analytics and machine learning to analyze semiconductor data, build models, and communicate insights to teams.

Serve as a quota-carrying technical trusted advisor across the customer lifecycle: lead technical discovery, design bespoke architectures, run demos and PoCs, drive adoption and expansion, and use AI-augmented workflows to automate routine tasks.