Job description Our client, a leading financial services organization, is seeking a Senior AWS Platform Engineer to play a key role in building an internal AI engineering platform that will transform how software is developed across the enterprise. This is a hands-on engineering opportunity focused on modernizing cloud automation, developer tooling, and infrastructure. You’ll help migrate an existing library of AI engineering workflows from Azure to AWS, enabling developers to leverage AI-powered coding assistants within a secure, scalable cloud-native environment. If you’re passionate about AWS, DevOps, Infrastructure as Code, and AI-assisted software engineering, this is an opportunity to work on a highly visible initiative using cutting-edge technologies. What You’ll Do As a senior member of the platform engineering team, you’ll help build the cloud foundation that powers AI-enabled software development. Responsibilities include: • Migrate cloud automation, deployment workflows, and engineering playbooks from Azure to AWS. • Design and implement reusable CI/CD pipelines using GitHub Actions. • Build and maintain container deployment workflows using Amazon ECS on Fargate. • Configure AWS services including IAM, ECR, Secrets Manager, Systems Manager, CloudWatch, VPC networking, and related platform services. • Develop and maintain Infrastructure as Code using Terraform. • Configure secure authentication using OIDC, IAM roles, and modern identity management practices. • Adapt developer tooling and automation for cloud-based development workspaces. • Partner with platform engineers to validate, optimize, and improve reusable engineering workflows. • Leverage AI coding assistants to accelerate development while ensuring quality through thorough testing and technical review. • Create technical documentation and knowledge transfer materials to support long-term platform adoption. Required Technical Experience • Senior-level experience building and supporting AWS cloud infrastructure. • Strong knowledge of AWS services including ECS/Fargate, IAM, ECR, CloudWatch, Secrets Manager, SSM, VPC networking, and S3. • Advanced Terraform experience, including reusable modules and infrastructure migrations. • Hands-on experience building CI/CD pipelines with GitHub Actions. • Experience deploying containerized applications using Docker. • Strong scripting skills with Bash and Python. • Experience working with Git and GitHub Enterprise. • Ability to understand existing Azure implementations and successfully migrate them to AWS. Preferred Qualifications • Experience using AI-powered development tools such as Claude Code, GitHub Copilot, or similar coding assistants. • Experience with cloud-based developer environments such as Coder, GitHub Codespaces, or Dev Containers. • Familiarity with AWS CDK, AWS Blocks, or similar infrastructure frameworks. • Knowledge of Microsoft Entra ID, Azure AD, or OIDC-based identity federation. • Experience with data platforms such as Snowflake, Amazon Redshift, or AWS Glue. • Background in financial services, insurance, or another regulated industry. Why You’ll Love This Opportunity • Help build an enterprise AI platform that will shape the future of software development. • Work with cutting-edge AI engineering tools and modern AWS technologies. • Solve complex cloud architecture and platform engineering challenges. • Influence engineering standards, developer experience, and automation strategy. • Collaborate with highly skilled cloud engineers on a high-impact enterprise initiative. • Opportunity to work at the intersection of AI, DevOps, cloud infrastructure, and platform engineering.
