Top AWS Jobs in Singapore

Summer analysts will build and deploy machine learning, generative AI, and agent-based solutions; integrate complex datasets; develop predictive models; run experiments; analyze trends; and deliver actionable insights. They will also support data governance, risk management, data quality, privacy, and regulatory controls while collaborating with agile, cross-functional teams. The program includes mentorship, training, and potential full-time opportunities after graduation.

Lead pre-sales architecture engagements for MongoDB, designing scalable cloud and on-premises systems, advising customers, conducting technical discovery, demonstrations, proofs of value, presentations, sizing, and documentation. Partner with sales teams on account strategy, generate demand, build customer champions, and support successful deployments. Mentor solutions consulting colleagues while staying current on MongoDB, cloud, distributed systems, DevOps, Kubernetes, and AI architectures.

Serves as the technical lead and strategic advisor for Zero Trust Cloud solutions across ASEAN. Engages customers and executives on cloud security architecture, AWS, Azure, and GCP deployments; leads Proof-of-Value engagements; provides competitive positioning; enables field teams; and influences product roadmaps through collaboration with sales, engineering, and product management.

Lead the design, delivery, and production operation of major security product capabilities. Define secure, scalable architectures and balance security, privacy, reliability, performance, and usability. Lead complex technical investigations, improve engineering practices and operational readiness, mentor engineers through reviews, and shape long-term architecture in partnership with product and research teams.

Lead the capture, design, tendering, and governance of resilient network connectivity solutions across Asia-Pacific. Translate business needs into high- and low-level designs, evaluate telecom vendors, manage supplier performance, embed resilience and risk controls, and support regional network strategy. The role also mentors engineers, drives technology adoption, and uses authorized AI tools for infrastructure analysis, documentation, automation, and traceable remediation.

Design scalable MongoDB-based applications and distributed systems, advise customers on architecture and optimization, and partner with sales teams on technical discovery, demonstrations, proofs of value, sizing, presentations, and account strategy. Generate demand through technical initiatives and events, build customer champions, mentor colleagues, relay field feedback to product teams, and maintain expertise in MongoDB, cloud platforms, modern architectures, and AI technologies.

Lead production technology support for applications and infrastructure, ensuring service stability, availability, and performance. Monitor environments, troubleshoot anomalies, manage incidents, problems, and changes, and coordinate issue resolution with business and technology stakeholders. Use observability tools and validated AI-assisted practices to identify recurring issues and improve resiliency, security, and auditability. The role supports on-premises and public-cloud environments and requires knowledge of Linux/Unix, scheduling tools, databases, SQL, Jenkins, Git, Bitbucket, and ITIL processes.

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.

Leads the global enterprise software procurement strategy for a multinational financial institution. Responsibilities include category strategy, strategic sourcing, competitive events, supplier negotiations, commercial agreements, cost optimization, supplier performance, renewals, governance, risk management, and executive stakeholder engagement. The role partners with technology, cybersecurity, legal, risk, and regional procurement teams to support cloud transformation and maximize long-term enterprise value.

Lead and scale the engineering organization for a regulated digital-asset custody platform. Own hiring, org design, engineering operations (on-call, incidents, release hygiene), delivery against roadmaps, audit and regulator readiness (SOC 2, SAMA, ISO 27001), and cross-functional alignment. Amplify an existing small, specialized team to meet regulatory and institutional requirements while preserving culture and retention.

Serve as a senior technical advisor for enterprise Databricks customers across APJ and EMEA. Design, review, and optimize Lakehouse, data engineering, analytics, machine learning, and GenAI architectures. Lead workshops, roadmap discussions, implementations, governance, security, and cost optimization efforts. Mentor teams, present to executives, support presales and proposals, resolve technical blockers, and develop reusable architecture assets while helping expand the Databricks consulting practice.

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 and grow engineering teams that build and operate card issuing, transaction processing, and settlement platforms. Provide people leadership, technical and architectural direction, ensure reliability, scalability, observability, and compliance, drive platform improvements, and collaborate with product and operations to deliver high-impact systems.

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.

Design, build, and operate AI agents that automate SRE, DevOps, and DBA workflows across global infrastructure. Develop safe agent architectures with planning, reasoning, tool execution, error recovery, evaluation, and human escalation. Integrate agents with Kubernetes, Terraform, cloud APIs, databases, monitoring platforms, and CI/CD systems. Collaborate with infrastructure teams to identify automation opportunities and shape Airwallex’s infrastructure AI strategy.

Designs and maintains scalable infrastructure for high-performance trading systems, including CI/CD, observability, databases, cloud resources, Kubernetes deployments, security, backups, disaster recovery, and cost optimization. The role automates AWS provisioning with Ansible and Terraform, manages monitoring with Prometheus, Grafana, and Loki, supports containerized services, enforces GitHub standards, and evaluates AI tools for operational efficiency.

Lead the design and production delivery of enterprise AI solutions, combining hands-on AI engineering with technical architecture and multidisciplinary team leadership. The role covers LLMs, agentic tooling, cloud-native AI platforms, software architecture, data engineering, DevOps, responsible AI, and stakeholder collaboration across enterprise and public-sector environments.

Operate and scale large GPU infrastructure across Linux, bare-metal, cloud, storage, networking, and Kubernetes environments. Build provisioning and automation systems, deploy platform improvements, troubleshoot incidents, support customer infrastructure, improve observability, and participate in an on-call rotation. Partner with infrastructure, networking, software platform, and customer success teams to improve reliability and reduce operational toil.

Analyze sales, financial, customer, and commercial performance data to support forecasting, business planning, growth opportunity identification, and executive decision-making. Build dashboards, reporting solutions, forecasts, scenarios, and actionable recommendations. Partner with business and technology stakeholders to improve data quality, KPI governance, analytics adoption, and measurement of commercial initiatives. Apply statistical, predictive, machine learning, and experimentation techniques when they deliver measurable business value.

Designs and develops clean, tested software and large-scale distributed microservices systems. Collaborates with analysts, designers, project managers, and clients to deliver innovative customer experiences from ideation through deployment. Advocates for TDD, continuous delivery, DevSecOps, and strong engineering practices. Mentors junior developers, supports technical excellence, evaluates code quality and nonfunctional requirements, and contributes to collaborative Agile teams.

Owns the SOC capability roadmap, backlog, technology portfolio, vendor strategy, budget, KPIs, and governance alignment. Translates business risk, compliance obligations, and threat intelligence into prioritized detection, automation, monitoring, and analyst-enablement capabilities. Leads stakeholder engagement, sprint planning, vendor evaluations, reporting, operational reviews, detection lifecycle improvements, and post-incident remediation. Requires deep SOC operations knowledge, cybersecurity experience, strategic product or SOC leadership experience, and familiarity with SIEM, SOAR, EDR, cloud security, and regulated environments.

Own release processes, monitoring, operational architecture, availability, and performance for an Azure-hosted SaaS platform. Design and operate CI/CD pipelines, troubleshoot issues, and partner with development, QA, business, and client technology teams to deliver a secure, highly available, performant solution.

Plan, implement, and support AWS cloud infrastructure and security services for Singapore government applications. Advise application teams on secure infrastructure architecture, manage Terraform-based deployments, strengthen monitoring and operational resilience, resolve incidents, remediate audit findings, and ensure compliance with government ICT security policies. The role also involves vendor management, security assessments, vulnerability remediation, CI/CD security automation, and security awareness training.

Leads AI engineering for APAC Global Broking, partnering with brokers and business leaders to identify, design, and deliver productivity solutions. Develops AI agents, workflow automations, retrieval systems, document tools, and integrations from prototype through production. Ensures governance, security, architecture, testing, risk, adoption, and measurable benefits while coordinating business, technology, and control stakeholders.

Build and evaluate machine learning models for precision product development, including CNN-based image classification and defect detection. Validate training data, track experiments with MLflow, produce evaluation reports, package models with Docker, contribute to CI/CD, and support inference and deployment validation. The role also provides exposure to physics-informed AI, Bayesian methods, surrogate modeling, active learning, and scientific ML systems.