Have developed a deep understanding of Platform and Platform customers
Have built and operated cloud infrastructure (AWS) based on customer requirements
Have solved any development and deployment challenges around making Platform infrastructure highly reliable, easy to maintain, and cost effective
Have participated in the development, execution, and support of the new feature rollout with solution architects, forward-deployed engineers, and customer success teams
Have developed and contributed to existing and new monitoring and alerting systems for Platform infrastructure
Have hardened infrastructure security including network, storage, user access, etc.
Have responded and solved key customer reported issues in a timely manner
Participated in an on-call rotation
Spearheaded the adoption of AI-driven development workflows, integrating LLM-based tools into the SDLC to accelerate feature delivery and reduce mean time to resolution (MTTR)
Architected and deployed custom MCP (Model Context Protocol) tooling and autonomous agents, enabling seamless data interoperability between internal systems and AI models to automate complex platform engineering tasks

Engineering Excellence: Proficiency in Python or Rust, with deep technical troubleshooting skills and extensive experience building backend APIs and microservices
Cloud Infrastructure: Expert-level knowledge of AWS core services and the ability to architect scalable solutions from high-level requirements
Kubernetes & Orchestration: Hands-on experience managing the "care and feeding" of Kubernetes clusters (upgrades, Service Mesh/Istio, Helm) and scaling compute services using ArgoCD and Argo Rollouts
Infrastructure as Code & CI/CD: Proficiency in Terraform/Scalr and experience building robust CI/CD pipelines using GitHub Actions or Jenkins
Networking & Connectivity: Solid understanding of networking fundamentals (subnets, CIDR, VPCs) to ensure secure, global application accessibility
Data Frameworks: Familiarity with big-data tools and workflow orchestrators such as Snowflake, Airflow, and Spark
AI & Productivity: Ability to leverage AI tools (Gemini, ChatGPT, Cursor) to streamline engineering workflows and enhance personal productivity

Experience with AWS preferred. AWS Cloud Infrastructure certification is a plus
Experience with data privacy concerns such as HIPAA or GDPR
Working knowledge of data modeling and storage across relational (PostgreSQL), NoSQL (DynamoDB, Redis), and MPP databases (Snowflake, Redshift)
Experience working with cross-functional teams and with other customer-facing teams
Passion! We hope you are passionate about our mission and technology
Ownership! We do not need you to know everything, but we hope you have deep knowledge in at least one area and can start contributing quickly. And we would love to learn from you in your area(s) of expertise as well
Expertise! We do not need you to know everything, but we hope you have deep knowledge in at least one area and can start contributing quickly. And we would love to learn from you in your area(s) of expertise as well

Hybrid — San Francisco, New York City, Chicago

Equal opportunity employment: Komodo Health provides equal employment opportunities and prohibits discrimination and harassment based on race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws
Candidates must acknowledge that they have read and understand Komodo Health’s Privacy Notice for Employees and Contractors
Hybrid work model with intentional in-office rhythms and flexibility
Expectations about work setup will be clear before joining

Komodo Health is hiring a Senior Platform Engineer