Principal Platform Engineer

Fidelity Investments•Boston, MA

1d•$107,000 - $216,000•Onsite

About The Position

Elumine is seeking a Principal Platform Engineer to join our team, building a new GenAI products for investment research. Elumine is an early-stage GenAI startup, and is part of Fidelity Labs, our in-house new business incubator. In this role, you will be responsible for working across the Data Science, Engineering, and Product teams to build modern scalable cloud infrastructure solutions for deploying applications. You will also contribute to architecting and engineering the application microservices. As a Principal Platform Engineer, you will play a pivotal role in building new capabilities that provide AI powered search, retrieval, and analytics. You will work closely with the Director of Engineering and cross-functional teams, driving technical decisions and ensuring the delivery of scalable, maintainable solutions.

Requirements

6+ years of Cloud Engineering, Site Reliability Engineering or DevOps experience with AWS including compute, storage, networking, and managed services
Proficiency with Infrastructure as Code tools (AWS CDK, Terraform, CloudFormation) and scripting languages (TypeScript for CDK, Python, Bash, PowerShell)
Strong understanding of cloud networking, security groups, VPCs, load balancers, and DNS management
Experience building and maintaining CI/CD pipelines using Jenkins, GitLab CI, GitHub Actions, or Azure DevOps
Knowledge of monitoring and observability tools (Prometheus, Grafana, Datadog, CloudWatch) and incident management practices
Strong Linux system administration skills and containerization experience (ECS, Docker, Kubernetes)
Excellent problem-solving skills with ability to troubleshoot complex distributed systems and work independently

Nice To Haves

Experience in Python / FastAPI development is preferred
Prior experience developing Gen AI applications
Prior work in a startup or incubator environment, building products from the ground up.

Responsibilities

Implement and manage containerized applications using EKS, Docker, and Kubernetes with focus on reliability and performance
Design and maintain highly available cloud infrastructure using Infrastructure as Code (AWS CDK, Terraform, CloudFormation)
Build and optimize CI/CD pipelines for automated testing, deployment, and monitoring of applications
Monitor system performance, availability, and security across all environments using observability tools
Automate operational tasks, implement backup/disaster recovery procedures, and establish SLAs/SLOs
Participate in on-call rotation, incident response, and post-mortem analysis to drive continuous improvement
Contribute to FastAPI/Python based engineering and development of new application services