The Role:The Compa Platform team builds and operates the systems that power our products, enable our engineers, and keep our platform infrastructure reliable as we grow. As a Senior Software Engineer on the Platform Team, you will own and lead backend and infrastructure projects across Compa's products, systems, AI/ML, and data warehouse. Join us and help design and maintain the foundation that enables the products our customers use daily!
What you'll do:- Design, build, and maintain backend services and the AWS infrastructure that supports them
- Develop and scale application backends in Django and Postgres, with a focus on reliability and performance
- Work on scaling, automation, reliability, and observability of backend and infrastructure services
- Design and improve CI/CD pipelines, deployment workflows, and infrastructure automation on AWS
- Own reliability end-to-end: monitoring, alerting, incident response, and continuous improvement
- Experience making architectural decisions and setting technical direction
- Ability to operate with autonomy in ambiguous problem spaces
- Act in a generalist platform engineering capacity on a small start-up team
- Assist in upscaling the team as new capabilities are developed, learning quickly and building shared resources that support continued growth
Minimum Qualifications:- 5+ years of professional experience in software engineering with an emphasis on backend systems
- Strong hands-on experience building and operating production systems on AWS
- Deep, hands-on experience with Python, Django, and Postgres in production
- Solid DevOps/SRE fundamentals (CI/CD, observability, incident response)
- Experience with operational excellence and a deep understanding of metrics, alarms, and dashboards
- Solid understanding of networking, distributed systems, and database fundamentals
Preferred Qualifications:- Start-up experience
- Experience handling critical incidents for production systems
- Familiarity with Infrastructure as Code (IaC) deployments
- Working knowledge of Kubernetes and container orchestration
- Exposure to ML Ops
- Working knowledge of security best practices and cryptographic protocols
