Top AWS Jobs in Singapore

Lead and scale a regional pre-sales engineering organization across ASEAN, drive technical go-to-market and revenue growth, guide complex enterprise sales cycles, influence global product roadmap with regional insights, enable channel partners, and represent Cohesity at senior customer and industry engagements.

Lead insider risk and data loss investigations from triage to closure, operate and tune DLP across environments, build detections and workflows, partner with HR/Legal/Compliance/IT, mature insider risk program, support audits, and mentor others.

Own and ship the end-to-end GenAI video generation pipeline: prompt and media orchestration, vendor integration, rendering, post-processing, evaluation frameworks, and production optimizations for latency, cost, and reliability to improve ad creative performance.

Develop and maintain full-stack microservice applications using Java 8 and Spring ecosystem. Build, deploy and operate services with Docker and Kubernetes/OpenShift, integrate messaging (ActiveMQ/Kafka/RabbitMQ) and Apache Camel, work with SQL and NoSQL databases, implement search/logging with Elasticsearch/ELK, perform performance tuning and troubleshooting, automate CI/CD pipelines, and collaborate in Agile teams.

Administer and support Linux/Unix servers and cloud platforms (AWS/Azure/GCP) in a 24x7 environment. Perform patching, monitoring, backup/DR, incident/change/recovery activities, develop automation and scripts, maintain operational documentation, and collaborate with security, network, and application teams.

The Application Engineer serves as the technical expert for InsiderSecurity solutions, helping users achieve cybersecurity success and providing deployment and configuration support.

The Senior Application Engineer will support users with technical expertise, guide deployments, troubleshoot issues, and assist the sales team in customer interactions within the cybersecurity domain.

Operate and improve enterprise Azure and AWS cloud platforms, using Terraform and IaC. Monitor and troubleshoot platform health, support Kubernetes/container environments, run disaster recovery testing, automate operational tasks, collaborate across teams, and contribute to incident RCA and documentation to ensure platform resilience and service continuity.

As a DevOps Engineer, you will manage infrastructure deployment, provide DevOps architecture support, and develop CI/CD processes for various products.

The IAM Engineer will design and manage identity solutions, configure identity brokering products, implement authentication protocols, and automate tasks in a Microsoft environment.

Manage and operate hybrid cloud infrastructure, implementing solutions on Azure and AWS while ensuring performance, compliance, and reliability.

The Cloud Infrastructure Engineer will design, implement, maintain OpenShift clusters, collaborate on CI/CD workflows, monitor performance, and optimize security compliance.

The role involves managing infrastructure, developing data pipelines, implementing cybersecurity tools, and maintaining best practices and automation in DevOps.

As an AI Engineer, you'll build prototypes, design system architectures, write code, integrate AI services, and manage deployments, ensuring software solutions meet public sector needs.

The Senior Back-End Developer builds and maintains server-side operations for cloud solutions, collaborating with teams to deliver software, support users, and document features.

AI Engineers will drive AI projects, mentor apprentices, develop solutions, support recruitment, and foster community through workshops. Requires expertise in AI/ML, Software Engineering, and good communication skills.

As a Platforms Engineer, MLOps, you will design and maintain AI platforms, enabling efficient model deployment and training while collaborating with various teams.

The Platforms Engineer, MLOps will design and maintain AI infrastructure, implement MLOps practices, and collaborate with project teams to optimize large-scale ML workloads.

The AI Engineer will lead AI projects, train apprentices, develop AI technologies, manage recruitment, and support industry activities.

The CTRM Architect will design and implement solutions in the ETRM domain, ensuring alignment of business needs with IT strategies and technical leadership.

The intern will develop web applications and dashboards, manage clinical trial data infrastructure, utilize AI tools, and enhance data visualization for decision-making in drug development.

As an AI Architect, you will design and implement AI solutions, bridge business and technical needs, and lead AI model development within a team. Responsibilities include identifying AI opportunities, maintaining architecture, and optimizing systems while ensuring best practices in MLOps and stakeholder collaboration.

The Cloud Services Engineer designs and operates a secure cloud platform for multi-tenant access to AI products, focusing on identity management, authorization, and user access for enterprise customers.

Design and build cloud-native backend microservices and distributed systems to orchestrate a global fleet of robots. Develop real-time APIs and data pipelines, drive DevOps and infrastructure-as-code, ensure observability, resilience, security, and compliance (ISO27001, SOC2, GDPR) for production systems at scale.

Design, train, evaluate and deploy machine learning and AI models. Build data pipelines, preprocess data, run EDA, optimise algorithms, deploy models to production (cloud/APIs/containers), monitor performance, document models, and collaborate with cross-functional teams on AI prototypes and production solutions.