Top AWS Jobs in Singapore

Six-month full-time internship designing, building, testing, and deploying production-ready card issuing and spend card features across backend, APIs, and front-end. Tasks include technical design, feature development, automated testing, observability, production deployment, cross-functional collaboration, and showcasing delivered capabilities under mentor guidance.

Develop and operate cloud-based data platforms and scalable ETL pipelines for NAND reliability engineering. Analyze large semiconductor and manufacturing datasets using Python, SQL, BigQuery, and PySpark. Develop and deploy AI/ML solutions for failure analysis, anomaly detection, reliability assessment, and engineering decision-making. Collaborate with IT, AI, quality, manufacturing, and engineering teams; communicate technical findings; support customer reliability inquiries; and promote AI-enabled productivity improvements.

Develop analytics, operations-research and machine-learning solutions and web applications to improve semiconductor manufacturing efficiency and scheduling. Manage requirements, stakeholders, and delivery; collaborate across teams; integrate AI-assisted tools; and support continuous improvement in capacity, cycle-time, and scheduling optimization.

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.

Build and own the infrastructure security roadmap for cloud platforms, including security governance, access controls, preventative controls, and security automation. Investigate infrastructure issues, modernize legacy systems, reduce operational risk, and partner with engineering and InfoSec teams. The role focuses on secure, maintainable infrastructure across cloud environments, CI/CD pipelines, Kubernetes, and production access systems.

Develop secure full-stack software solutions, troubleshoot incidents, improve platform resiliency, automate SDLC processes, validate AI-assisted security recommendations, and ensure compliance with security and regulatory controls. The role requires secure coding, application development, testing, operational stability, vulnerability assessment, and collaboration across engineering teams.

Build and support end-to-end AI applications for semiconductor manufacturing, including data pipelines, machine learning models, APIs, web interfaces, automation tools, and observability. Develop Python and JavaScript/TypeScript solutions, integrate LLMs and agentic AI, connect robotics and manufacturing systems, and deploy containerized applications using Kubernetes or OpenShift. Contribute to CI/CD, Responsible AI, model evaluation, monitoring, testing, documentation, and optimization.

Leads partner marketing strategy and execution across APJ, driving partner pipeline and revenue through solution, reseller, and alliance partners. Manages regional budgets and MDF allocation, develops partner GTM plans, executes events and campaigns, coordinates cross-functional teams, prioritizes partners, and tracks marketing performance through reporting and analysis.

Leads a team developing and productionizing predictive, machine learning, deep learning, and GenAI solutions for semiconductor manufacturing and HBM product engineering. Responsibilities include yield and reliability modeling, large-scale data pipelines, MLOps, model monitoring and drift control, distributed analytics, deployment, and engineering decision support. The role also requires mentoring engineers, setting technical direction, collaborating cross-functionally, and translating model outputs into improvements in quality, cost, cycle time, and manufacturing efficiency.

Support production applications and infrastructure by monitoring service health, troubleshooting incidents, coordinating resolutions, and improving operational stability. Responsibilities include incident and problem management, observability, automation, capacity and resiliency support, application onboarding, runbook maintenance, and stakeholder communication across technology and business teams. The role supports cloud, containers, Linux, databases, networking, security, identity, messaging, and web technologies in a business-critical environment.

Lead cloud infrastructure engineering for JPMorganChase’s Athena platform. Responsibilities include designing scalable cloud architectures, developing software solutions, troubleshooting technical issues, improving application resiliency, automating remediation, and leading engineering communities of practice. The role also drives secure adoption of AI-assisted development practices, Kubernetes, Terraform, CI/CD, and cloud-native technologies across global engineering teams.

Design scalable applications and infrastructure using MongoDB, advise customers on architecture and optimization, and communicate technical value throughout the sales cycle. Partner with sales teams on discovery, demonstrations, proofs of value, presentations, sizing, documentation, and account strategy. Generate demand through technical initiatives and events, build customer champions, mentor colleagues, and provide product feedback. The role also supports cloud, distributed systems, data engineering, and generative AI use cases.

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 pre-sales technical strategy for complex MongoDB opportunities, including discovery, architecture design, demonstrations, proof of value, ROI/TCO analysis, executive engagement, and customer adoption. Partners with sales, customer success, services, and ecosystem teams to modernize legacy systems, design scalable cloud and hybrid architectures, and support AI initiatives. Creates reusable technical assets, generates demand through workshops and events, mentors peers, and advises technical and business stakeholders.

Leads a pre-sales solutions architecture team across the ASEAN region. Responsibilities include recruiting and developing talent, partnering with enterprise sales teams, qualifying technical opportunities, advising customers, supporting bookings growth, and strengthening pre-sales practices. The role also collaborates with Professional Services and Marketing on customer success, seminars, trade shows, and other events. The position is based in Singapore under a hybrid model and requires travel of up to 30%.

Lead end-to-end software delivery for regulatory reporting systems within Payments Technology. Develop, review, debug, and optimize secure production code, data pipelines, and reporting workloads using Python, PySpark, Spark, and Databricks. Establish AI-assisted engineering practices, validation standards, automation, and SDLC governance. Partner with stakeholders on data quality, lineage, reconciliation, and audit controls while providing technical direction and serving as a subject matter expert.

Designs and operates cloud-native platform services, distributed systems, and large-scale compute, storage, and networking infrastructure supporting research, AI, and data-intensive workloads. Builds APIs, abstractions, automation, and deployment systems to simplify cloud resource management. Improves observability, performance, resiliency, and operational excellence while collaborating with researchers and engineers to deliver scalable production platforms.

Deploys, configures, optimizes, and supports CrowdStrike Falcon’s AI-powered detection and response capabilities. The role develops automation playbooks and API integrations, tunes machine-learning detection models, troubleshoots customer issues, supports threat hunting and forensic analysis, integrates security workflows, and leads AI workshops. It also requires customer engagement, technical presentations, project prioritization, cross-functional leadership, and mentoring while applying cybersecurity, AI/ML, and platform deployment expertise.

Drive partner-sourced pipeline and regional revenue by developing cloud and technology alliance relationships. Build business plans, strengthen partner engagement and brand awareness, coordinate with internal sales and cross-functional teams, and advance opportunities through closure. The role requires cloud partner experience, cybersecurity and networking familiarity, collaboration with hyperscalers, and willingness to travel.

Own complex, high-severity customer reliability incidents from diagnosis through resolution, including root-cause analysis across networking, security, applications, and customer systems. Build proactive observability, detection, automation, and AI-assisted diagnostic tooling to reduce recurrence and operational toil. Partner with Product Engineering, support, and enterprise customers; lead postmortems, incident response, technical escalations, documentation, mentoring, and reliability improvements. Participate in a global high-severity on-call rotation.

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

Develops, tests, reviews, and troubleshoots secure, scalable Java software within an agile Payments Technology team. Designs high-throughput distributed systems, improves application resiliency and operational stability, automates recurring remediation, and applies CI/CD and secure engineering practices. Uses and guides responsible adoption of AI-assisted development tools, contributes to technical communities, and supports end users. Works with relational and NoSQL databases and on-premises or public cloud environments.

Build and improve Airwallex’s developer ecosystem, including API standards, analytics pipelines, AI-enabled documentation and developer portals, open-source tools, SDKs, CLI capabilities, OAuth, MCP interfaces, and sandbox services. The role partners cross-functionally to simplify API integration and support external developers. It requires backend software engineering, distributed systems, cloud infrastructure, API design, and customer-facing engineering experience. This position is based in the Singapore office five days per week.

Leads engineering teams responsible for Airwallex’s issuing platform, including card lifecycle management, transaction processing, settlement, and dispute workflows. Owns team health, hiring, execution, architecture, reliability, observability, security, and technical quality. Partners with product and engineering leaders to deliver scalable, resilient, low-latency financial systems while balancing operational excellence, developer productivity, and cost efficiency.

Serve as the strategic technical advisor and central post-sales contact for customers adopting Zscaler’s Zero Trust solutions. Build stakeholder relationships, align technical strategies with business goals, drive product adoption, manage escalations, develop risk mitigation plans, and coordinate with Sales, Support, and Product teams. Create best-practice content and use customer data, analytics, and AI-enabled workflows to improve deployment health, operational efficiency, and long-term customer outcomes.