Senior Platform Engineer – Infrastructure
$165,000–$255,000 year
RemoteUnited States
Job Summary
Build and improve cloud infrastructure and internal tooling for a production AI platform serving the insurance industry. Own CI/CD pipelines, automate operational workflows, and standardize deployment patterns using Terraform and Infrastructure-as-Code. Monitor cloud usage, debug complex distributed systems, and maintain observability and incident response systems. Partner with full-stack, data, and ML engineers on scalable architecture while ensuring security and compliance for enterprise customers. Debug production issues across containerized and serverless workloads on AWS. Take significant ownership of technical projects from design through production in a fast-moving, globally distributed team.
Required Qualifications
- 5+ years of professional software engineering, platform engineering, infrastructure engineering, or DevOps experience
- Strong hands-on experience with cloud infrastructure and production systems
- Experience building or maintaining CI/CD pipelines
- Strong understanding of infrastructure reliability, security, performance, and scalability
- Experience with Infrastructure as Code, ideally Terraform
- Experience with Docker or comparable container technologies
- Experience with cloud and serverless technologies, including environments involving AWS Lambda and EC2
- Experience designing or operating asynchronous workflows
- Comfortable working with relational databases, ideally PostgreSQL
- Strong system design, debugging, and general software engineering fundamentals
- Strong coding ability; Python is the primary language, although engineers from other object-oriented programming backgrounds may be considered
- Able to independently own projects and drive them to completion with limited oversight
- Proactive communicator who surfaces blockers and keeps stakeholders informed
- Comfortable operating in a fast-moving environment where experimentation and iteration are expected
Desired Qualifications
- Strong Python experience in production environments
- Experience building or operating distributed systems
- Experience with LLMs, generative AI, or infrastructure supporting AI/ML applications
- Experience optimizing cloud infrastructure for both performance and cost
- Experience designing observability and production incident-response practices
- Background supporting security- or compliance-sensitive enterprise software
- Experience working across application, data, ML, and infrastructure engineering teams
- Evidence of high ownership and the ability to solve ambiguous infrastructure problems independently
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