Note: The job is a remote job and is open to candidates in USA. The company is a venture-backed AI company building professional-grade AI systems for the insurance industry. The Staff Platform Engineer will build and maintain cloud infrastructure, internal tooling, CI/CD pipelines, observability systems, and secure, scalable platform architecture supporting production AI workloads.
Responsibilities
- Build and improve the cloud infrastructure and internal tooling supporting a production AI platform
- Own and maintain CI/CD pipelines and improve the reliability and speed of engineering deployments
- Automate operational workflows and reduce manual infrastructure work
- Improve infrastructure performance, scalability, reliability, and security
- Monitor cloud usage and identify opportunities to improve infrastructure efficiency and cost
- Build and maintain infrastructure using Terraform and modern Infrastructure-as-Code practices
- Support containerized and serverless workloads across cloud environments
- Standardize development environments and deployment patterns across engineering teams
- Maintain and improve observability, monitoring, and incident response systems
- Partner with full-stack, data, ML, and DevOps engineers on scalable platform architecture
- Help maintain security and compliance requirements expected by enterprise insurance customers
- Debug complex production and infrastructure issues across distributed systems
- Take significant ownership over technical projects from design through production
Skills
- * 8+ 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
- * 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
Benefits
- Significant equity options package.
- Remote within the United States.
- 20 days of PTO annually.
- Global company offsites and regional team meetups.
- 100% covered PPO medical insurance for individuals and families.
- 100% covered dental and vision insurance for individuals and families.
- 401(k) with employer contribution regardless of employee contribution.
- Healthy living/gym stipend.
- Mobile phone stipend.
- Continuing education credits.
- Opportunity to join a small infrastructure team where individual engineers have significant ownership and technical impact.
Company Overview