Senior Machine Learning Platform Engineer at Strava developing AI/ML systems for fitness applications. Driving innovative solutions using machine learning models and large datasets to enhance user experience.
About the role
- Platform Engineer responsible for building infrastructure solutions for Clay's services and optimizing cloud resources. Collaborating across teams for CI/CD and incident response best practices.
Responsibilities
- Architect, design, implement, and manage robust, scalable, and secure infrastructure solutions.
- Develop, maintain, and enforce best practices for CI/CD, infrastructure as code, and automation.
- Oversee the management and optimization of cloud infrastructure, ensuring high availability, performance, and cost-efficiency.
- Implement monitoring, logging, and alerting solutions to maintain system health and quickly resolve issues.
- Lead incident response efforts, troubleshooting and resolving complex issues in a timely manner.
- Participate in an oncall rotation.
- Work with teams across the company to ensure we achieve the right balance of developer velocity, reliability and performance, and cost efficiency.
Requirements
- 5+ years of experience
- Experience with containerization and orchestration tools
- Strong understanding of CI/CD concepts and tools
- Knowledge of infrastructure automation tools
- Experience with oncall and incident response
- Proficiency in one or more programming languages
- Familiarity with our stack or ability to learn unfamiliar technologies quickly:
- • Aurora Postgres RDS, Elasticache Redis, Docker + ECS, Lambda, OpenSearch
- • Terraform and Atlantis
- • CircleCI, Netlify, Playwright
- • Cloudwatch, Datadog, Mezmo
- • Typescript, Python
Benefits
- Customers love the product (100K+ users and growing)
- We’re growing a lot (6x YoY last year, and 10x YoY the two years before that)
- Incredible culture (our customers keep applying to work here)
- Well-resourced - We raised a $100M Series C in 2025 at a $3.1B valuation and are backed by world-class investors like Capital G (Google), Sequoia and Meritech
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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