Top AWS Jobs in Singapore

Provides technical leadership for Java and ReactJS application development, including architecture, API and database design, coding standards, code reviews, testing, debugging, performance optimization, security, deployment, and production support. Leads and mentors full-stack developers, resolves complex technical issues, collaborates with stakeholders, supports presales and solutioning, and promotes reusable engineering practices across enterprise projects.

Leads design and development of scalable cloud-based data and analysis platforms. Responsibilities include architecture, implementation, testing, deployment, troubleshooting, documentation, unit testing, and Agile/Scrum collaboration. The role requires full-stack development expertise, strong Java skills, frontend framework experience, distributed databases, REST services, and cross-functional communication. Kubernetes, cloud infrastructure, and CI/CD experience are preferred.

Lead complex NVIDIA Infrastructure Services customer engagements from planning through deployment, bring-up, support handover, and day-two readiness. Coordinate customers, sales, solution architects, delivery managers, OEMs, operations, and support teams. Provide executive updates, manage risks and blockers, align commercial commitments, and drive resolution of critical issues while maintaining strategic oversight rather than owning daily execution.

Leads the strategy, roadmap, development, and continuous enhancement of executive decision-intelligence products. Builds Power BI and Microsoft Fabric dashboards, scorecards, semantic models, scenario-planning applications, and predictive analytics solutions. Integrates ERP and disparate data sources using Python and SQL, applies AI/ML techniques, and partners with global operations leaders across supply chain, manufacturing, quality, and regulatory functions. Translates complex operational data into scalable, user-centric insights that improve executive decision-making and enterprise performance.

Develop and maintain full-stack mobile web and progressive web applications using React Native, modern frontend frameworks, backend services, APIs, and cloud infrastructure. Responsibilities include testing, code reviews, CI/CD deployment, container orchestration, monitoring, security controls, and government compliance within an agile DevOps environment. The role requires at least four years of full-stack development experience and work with Government Commercial Cloud infrastructure.

Leads end-to-end development of secure, scalable mobile and web applications, including frontend, backend, cloud infrastructure, APIs, CI/CD, observability, testing, and security. Provides technical consultation, stakeholder management, architecture leadership, WhatsApp Business API integration, government security compliance, and mentoring. Drives performance optimization, automated deployment, infrastructure provisioning, software quality, and delivery of critical government technology initiatives.

Leads a portfolio of client accounts and transformation programs, overseeing delivery, governance, client relationships, business development, and portfolio growth. The role manages senior stakeholders, guides project and technical leaders, shapes proposals and opportunities, ensures measurable outcomes, and mentors multidisciplinary teams. It also contributes to technology practice development and positions AI, automation, and low-code solutions for clients across the region.

Develop and close strategic mid-market and enterprise business for Build.io in the US. Own the full sales cycle, including prospecting, discovery, technical evaluation, negotiation, procurement, and closing. Build relationships with technical and executive stakeholders, manage pipeline and forecasting, drive account expansion, and help shape the company’s enterprise go-to-market strategy.

Build full-stack features across web, mobile, AI, and spatial-computing projects. Interns will design APIs and systems, write tests, participate in code reviews and Agile ceremonies, collaborate with designers and clients, and deploy software through CI/CD. The internship includes mentoring and training in modern development tools, cloud platforms, AI-assisted development, and technologies such as TypeScript, React, Node.js, Swift, Kotlin, AWS, and Cloudflare.

Supports modeling and simulation applications on Linux-based HPC and cloud infrastructure. Responsibilities include installing and optimizing software, managing SLURM clusters and licenses, deploying AI and simulation workflows, designing secure networking, automating infrastructure, optimizing cloud costs, and collaborating with data scientists, engineers, vendors, and infrastructure teams. The role also provides technical guidance, user support, training, documentation, and operational improvements across multi-cloud environments.

Develop and support batch and streaming data pipelines, data models, ingestion workflows, orchestration, cloud infrastructure, and backend services for banking data platforms. The role also supports AI knowledge bases, vector database pipelines, embeddings, document processing, RAG workflows, and semantic search. Responsibilities include monitoring data quality, troubleshooting pipeline issues, participating in testing and code reviews, and collaborating with engineering, AI, and business teams.

Own the architecture, deployment, and technical direction of physics-informed machine learning systems for precision product development. Responsibilities include deep learning for inspection and defect detection, anomaly detection, surrogate modeling, active learning, Bayesian experimental design, and full MLOps platform ownership. The role leads design and code reviews, mentors engineers, integrates laboratory and product-development data, and deploys production ML systems using PyTorch, MLflow, Docker, AWS EKS, Kubernetes, and observability tools.

Develops, upgrades, integrates, commissions, and supports complex broadcast and OTT systems across on-premise and cloud environments. Responsibilities include third-party system integration, coding and scripting, technical design, deployment planning, acceptance testing, documentation, performance planning, audit reporting, and staff training. The role also supervises associate engineers and requires expertise in Windows and Linux servers, networking, databases, API testing, and broadcast or digital media environments.

Designs end-to-end technology solutions for media, OTT, and digital platforms. Translates business requirements into scalable and secure architectures, evaluates technologies, recommends integrations, and guides implementation. Collaborates with business, engineering, infrastructure, and technology teams while ensuring alignment with enterprise architecture and security standards. The role requires AWS expertise, cloud and microservices experience, infrastructure as code, programming and scripting skills, solution documentation, and stakeholder management.

Contribute to an AI team developing machine learning solutions for precision product development. Responsibilities include tracking experiments with MLflow, evaluating models, validating training data, building CNN-based image classification and defect detection models, packaging models with Docker, supporting CI/CD, and validating inference deployments. The role requires foundational Python and PyTorch skills, ML evaluation experience, and understanding of CNNs, surrogate modeling, and active learning.

Build and own Plaud’s security operations, detection, and incident response foundation from the ground up. Architect SIEM, EDR, and NTA integrations across cloud, SaaS, and endpoints; develop MITRE ATT&CK-aligned detections and Detection-as-Code; lead incident response and SOAR automation; integrate LLMs into SecOps workflows; and maintain SOC 2 Type II CC7 monitoring and detection evidence.

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.

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.

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.

Design, build, deploy, and scale production AI and Generative AI solutions (LLMs, RAG, agentic workflows). Build data pipelines, cloud-based MLOps/LLMOps, and retrieval architectures. Collaborate with stakeholders, embed responsible AI and governance, and develop reusable frameworks, monitoring, and automation for enterprise deployments.