Top AWS Jobs in Singapore

Designs and operates highly available, multi-account, multi-region AWS and GCP cloud networks. Automates infrastructure with Terraform and Git-driven CI/CD, manages BGP, IPsec VPN, hybrid and cross-cloud connectivity, and supports secure landing zones. Serves as an escalation point for complex networking incidents, improves observability, participates in global on-call rotations, and collaborates with Security, DevOps, and Platform teams.

Leads strategic enterprise customer programs for Dynatrace adoption and business outcomes. Responsibilities include program governance, executive stakeholder management, roadmaps, delivery oversight, risk and dependency management, customer adoption, organizational change, and value realization. The role coordinates cross-functional teams, partners, and customer stakeholders across Asia-Pacific, facilitates governance forums, and directly manages projects when needed. Travel up to 25% is required.

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.

Develop and maintain secure, resilient software for a mission-critical real-time payments platform. Responsibilities span design, Java/Spring development, testing, troubleshooting, code reviews, production readiness, automation, and operational support. The role requires full SDLC participation, distributed systems understanding, cloud exposure, secure coding, responsible AI-assisted development, and collaboration across upstream and downstream systems.

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.

Leads software engineering within an agile Asset and Wealth Management technology team. Designs, develops, tests, troubleshoots, and reviews secure, scalable Java applications. Drives production stability, automation, CI/CD, resiliency, and responsible adoption of AI-assisted development tools. Coaches engineers on validating AI outputs and secure practices, and evaluates vendor and architectural solutions. Requires cloud-native experience, financial services IT knowledge, and expertise with Java and Spring Boot; AWS and Terraform experience is preferred.

Develops secure, scalable Java applications and microservices for JPMorganChase’s Asset and Wealth Management technology teams. Responsibilities include system design, RESTful API development, production coding, troubleshooting, architecture documentation, data analysis, and TDD/BDD testing. The role requires Java and Spring/Spring Boot expertise, software development lifecycle knowledge, secure coding practices, and experience with enterprise AI-assisted development tools. Preferred experience includes AWS, Terraform, front-end technologies, and full-stack development.

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.

Own and operate critical payment services and cloud infrastructure, ensuring availability, resiliency, performance, and stability. Monitor systems using Datadog, CloudWatch, and observability tools; lead incident recovery, root cause analysis, and corrective actions. Automate operational tasks, improve self-healing capabilities, define SLOs and alerting, and apply authorized AI tools to accelerate troubleshooting while maintaining security and auditability. Collaborate across teams and build expertise in payment transaction flows.

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.

Build and maintain Airwallex's 3DS card authentication infrastructure and payment APIs. Design, develop, and operate reliable services, collaborate with global teams and financial partners, troubleshoot production issues, and own critical components of the online payment processing flow.

Develop scalable backend services and APIs that integrate generative AI capabilities, LLMs, and machine learning models. Build microservices, data flows, caching, and secure integrations while ensuring reliability through testing, monitoring, observability, and performance optimization. Collaborate with product, design, data science, and ML engineering teams in an agile environment. Mentor junior engineers, conduct code reviews, improve CI/CD practices, and contribute to evolving R&D initiatives.

Develops secure, scalable full-stack and back-end software for JPMorganChase’s Global Portfolio Holdings Technology team. Responsibilities include designing and troubleshooting applications, producing architecture artifacts, implementing Java and Python solutions, collaborating across globally distributed Agile teams, and maintaining automated testing, CI/CD, monitoring, and operational reliability. The role also applies AI-assisted development tools responsibly, analyzes application data, and guides improvements to software quality, architecture, security, and resiliency.

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.

The role involves improving manufacturing operations through analytics, project management, collaboration, and effective communication of solutions using programming and machine learning skills.

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.

Architect and implement cloud infrastructure for Spend product initiatives, including new services, data center migrations, and data pipeline modernization. Drive reliability, performance, observability, automation, incident response, SLOs, runbooks, and operational readiness for highly available production systems. Partner with development, DevOps, and security teams to deliver resilient, compliant infrastructure and lead SRE strategy for complex cross-functional projects.

Automate and operate production infrastructure across cloud and on-premises environments. Monitor service health, triage critical alerts, manage SLOs and error budgets, develop infrastructure and policy as code, eliminate operational toil, maintain DevSecOps and observability tooling, and participate in incident response and post-mortem improvements. The role also requires expertise in infrastructure, configuration management, networking, IAM, security controls, and reliability engineering.

Provide hands-on technical guidance to enterprise customers, drive Datadog product adoption, analyze IT Operations environments, recommend improvements, lead business reviews, advocate for customer needs, and collaborate with Sales, Support, Product, Engineering, and Technical Services teams.

Analyze and reverse engineer malware, develop detection signatures, automate threat intelligence workflows, hunt for emerging threats, research vulnerabilities and exploits, and support incident response investigations. The role also requires documenting technical findings, producing intelligence reports, collaborating with business and technology stakeholders, and validating AI-assisted research outputs according to security and data-handling requirements.