Top AWS Jobs in Singapore

The MLOps Engineer will drive the deployment, monitoring, and optimization of machine learning models in production, ensuring scalability and efficiency of ML infrastructure.

As a Python and Kubernetes Software Engineer, you will develop data analytics solutions using open source tools, collaborating with a distributed team.

As a Cloud Field Engineering Manager, you will lead a team of engineers, focusing on customer solutions in cloud environments, mentoring team members, and collaborating on technical strategies while ensuring high-quality project delivery.

As an Engineering Manager, you'll lead a remote team, manage MLOps projects, ensure high performance, and mentor engineers while driving product strategies.

This role involves designing, building, and deploying core components of ML infrastructure, ensuring high scalability and reliability in handling data for autonomous vehicles.

The Senior Rust Engineer will develop and implement trading algorithms, mentor engineers, and optimize trading system performance in a DeFi-focused environment.

The Technical Solutions Architect will guide clients on integrating the MatchMove platform, develop solutions, and oversee technical projects.

Lead the design and implementation of data architectures for generative AI initiatives, collaborating with teams and establishing best practices.

Design and implement scalable container architectures, standardize infrastructure patterns, and enforce governance for container platforms.

As a Solution Architect, you will lead deployment tasks, provide expertise in Salesforce, MuleSoft, and AWS, and support technical discussions. You will oversee code quality, drive user adoption, and enhance the BizEngage Suite.

Lead the AI engineering team to develop and implement AI solutions, mentoring staff, collaborating with business units, and promoting AI adoption.

Design, develop, and maintain data infrastructure microservices using C++, optimize for performance, debug issues, and collaborate with teams.

Manage cloud infrastructure on AWS focusing on reliability and performance, build Data Lake architecture, administer databases, and ensure data quality and compliance.

Develop and enhance trading applications using Java and Python. Manage cloud solutions on AWS, optimize Kubernetes, and conduct quantitative analysis.

Lead a team of senior developers in high-performance trading systems. Oversee the development of automated trading strategies and ensure system performance. Collaborate with trading teams and improve technical systems.

The Senior Partner Data Cloud Architect will drive partnerships, lead technical enablement, and educate teams on Snowflake offerings while collaborating on cloud solutions.

Manage hybrid and multi-cloud environments on AWS and Azure, oversee cloud migrations, implement DevSecOps practices, and ensure security and compliance.

The Managed Services Cross Technology Engineer (L2) SRE ensures IT systems reliability through automation, incident management, and proactive monitoring while supporting client service availability and performance optimization.

As a Senior kdb+ Developer, you will lead technical delivery on projects, design kdb+ architectures, mentor developers, and drive innovation in data solutions for finance.

Lead the software engineering for AI model deployment, managing team dynamics and ensuring system scalability, resilience, and performance standards.

Design and build high-volume backend data processing systems, develop data pipelines, manage databases, and collaborate across teams for AI gaming products.

Join OKX as a Senior/Staff Software Engineer to lead fraud risk initiatives, design backend microservices, and enhance fraud monitoring systems.

The Cloud Engineer will manage and deploy cloud infrastructure on Azure and AWS, optimize performance, troubleshoot issues, and design tailored cloud solutions for clients, focusing on project implementation and onboarding.

The role involves designing and maintaining data pipelines, optimizing data architecture, collaborating with data scientists, ensuring data quality, and integrating AI/ML models in production workflows.

Seeking a Senior Associate Full-Stack Engineer to develop and maintain applications. Responsibilities include mentoring, backend and frontend development, API creation, and optimizing performance while exploring AI and machine learning solutions.