Backend/Infra Engineer

About the companyEx-Airbnb team building an MVP at the intersection of consumer digital mental health, wearables, and community – currently in stealth.Role overviewWe're looking for a backend engineer with deep data science experience to own the data layer. Work will initially focus on fundamentals (infra, data integrity, reliability) and grow quickly toward ML modeling on top of it.Day to day:Building and refining the data pipeline that ingests data from various sourcesDeriving clean, meaningful metrics from raw data — aggregating, categorizing, and computing behavioral patterns from noisy inputsImplementing and extending composite scoring algorithms that combine multiple signals into intuitive user-facing scoresStructuring data so an LLM-powered feature can quickly read a user's full picture and give contextual, personalized outputBuilding ML models to personalize the user experience — predicting which content is most engaging for a given user, detecting anomalies in patterns, identifying correlations users wouldn't spot on their ownExploring lightweight recommendation and ranking systems across a large and growing content libraryImproving API performance, background job processing, and data integrity across the pipelineTech StackBackend: TypeScript, Bun, HonoDatabase: PostgreSQL, Prisma ORMBackground jobs: pg-bossAuth: AWS CognitoAI: ClaudeInfrastructure: AWS EC2, CodeDeploy, S3Monitoring: Sentry, PostHogYouStrong backend experience with TypeScript or similar (Python, Go, Java)Comfortable working with data pipelines: ingesting, transforming, aggregating, and scoring structured dataExperience with relational databases (PostgreSQL preferred) and ORMsHands-on experience with ML — even if it's lightweight: recommendation systems, ranking models, anomaly detection, time-series analysis, or personalization.Familiar with personal user data, time-series data, or data-heavy consumer products (a plus, not required)Self-directed: you'll get clear specs and context, but you own execution end-to-endLooking for something long-term, not a quick contract. We want someone who'll grow with the product.Commitment & CompensationFully remote, contract position. Full time (50+ hours/week), able to overlap at least 3-4 hours with US Pacific time for syncsCompetitive contract rate paid monthly. For the right person, there's a path to a long-term role with equity.

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