Want to help build the next generation of AI-powered software development?
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.
If you’re excited about building modern AWS platforms, enabling AI-powered software development, and creating reusable engineering solutions at enterprise scale, we’d love to connect.