engineering
Posted 2 days agoSoftware Engineer, Internal Tools
at Metriport
San Francisco, United StatesOn-site
Requirements
- - You have strong interpersonal skills and are comfortable working directly with stakeholders across Eng, Ops, and business teams to understand their needs and translate them into working solutions.
- We work with sensitive healthcare data, and you treat that seriously — vetting third-party integrations, applying least-privilege thinking, and never cutting corners that could expose PHI. - You follow the AI tooling space closely and try to use it to solve real business problems, but you have the judgment to know what's appropriate for an enterprise context and what's a hard no. - You care about outcomes over elegance.
- - Evaluating and Adopting New Tools: Researching integration platforms (Zapier, n8n, Make, etc.) and AI productivity tools, working with the Security team to assess their security posture, and rolling them out in a way that meets our compliance requirements.
- - Reporting: Automating recurring reports by pulling from AWS Athena, REST APIs, and other data sources — so the team gets accurate data without manual effort every month.
- experience in a software engineering, automation, or internal tools role — ideally at a startup where you wore multiple hats. - TypeScript proficiency: Our entire stack is TypeScript.
- You write clean, maintainable TS without hand-holding. - React proficiency: Our internal operations tool is React-based.
- You can build and extend UI components to surface new workflows. - Integration experience: Hands-on
- experience connecting APIs, webhooks, and third-party services.
- Experience building internal dashboards, admin tooling, or ops automation in a B2B SaaS environment. - Familiarity with our tooling ecosystem: AWS (Athena, Lambda, etc.), Slack, GitHub Actions, Pylon, PostHog, GSuite. -
- Experience with integration platforms like Zapier, n8n, or Make. - Exposure to healthcare data (FHIR, HL7, PHI handling) — understanding the stakes is a significant advantage. -
- Experience using LLMs or AI agents to automate workflows (prompt engineering, API integration, tool use).
- We use AWS cloud services and manage our infrastructure as code with AWS CDK.
- Data lives in PostgreSQL, DynamoDB, S3, Snowflake, FHIR server, and more.
Experience
- REQUIREMENTS - 3+ years of