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3 matching jobs

  • Kotlin
  • TypeScript
  • dbt
  • DuckDB
  • React
  • GCP
  • Kubernetes
  • Terraform

Pomelo Care | San Francisco, NYC, Remote - USA ONLY with Work Authorization | Software Engineer (mid career - Staff)

Pomelo Care is a multi-disciplinary team of clinicians, engineers and problem solvers who are passionate about improving care for moms and babies. We are Series B, with some notable investors like First Round and a16z. As a member of our engineering team, you will have the opportunity to shape the product, codebase, and culture at Pomelo for years to come. On any given day, you may:

- Write clean, elegant code to build new features and keep our platform humming

- Design new systems to enable Pomelo's clinical team to deliver personalized care to an expanding patient population

- Build a great mobile experience so pregnant women and new parents feel they have a support team in their pocket

Tools we use:

- GCP, Kotlin, Typescript, React, React Native, Terraform, Spanner DB, Big Query, DuckDB, Dagster, DBT, K8s

Personally, I've never had so much fun and learned so much at work. This team is phenomenal, so I recommend applying if you're looking to learn a lot and make a big impact in an important space.

Learn more here: https://www.pomelocare.com/careers

  • JavaScript
  • dbt
  • DuckDB
  • GraphQL
  • Next.js
  • Full-time

Absinthe Labs | Full-Stack Engineer | REMOTE / NYC Hybrid | Full-Time

About us: Absinthe is building the most sophisticated gamification engine for crypto-native incentive programs. Since 2022, our products have reached 50M+ visits and 2M+ active users. We’re a 10 person, well-funded team shipping fast.

The problem we’re solving: Tracking per-user activity across DeFi protocols sounds simple but is surprisingly hard. Want to know how long someone held an LP position, or which users provided liquidity for more than 30 days? That data is on-chain but can’t be efficiently queried today.

We built an indexing framework that turns protocol events into time-weighted balances and point-in-time actions. Adapters map protocol-specific semantics (Uniswap ≠ Aave ≠ Morpho) into a unified model. The engine handles state, TWAP pricing, and exporting data anywhere. With ~100 lines of adapter code, you can track user balances and contributions at a fidelity no one else supports.

Why it matters: This infrastructure underpins analytics, loyalty, and incentive programs across Web3. We see the Absinthe Adapter Library becoming the default developer layer for embedded finance.

The role: We’re hiring a Full-Stack Engineer to own features end-to-end schema design, wiring GraphQL, polished frontends, and deployment. Our stack: Next.js, Hasura, dbt, MotherDuck/DuckDB, GraphQL, and in-house Web3 indexing. See open positions here: absinthe.network/careers#open-positions

Get involved: - Explore product functionalities at: [https://guides.absinthe.network](https://guides.absinthe.network/)

- Explore the Adapter Library docs: https://docs.absinthe.network/ - Join our Slack community to hack on adapters and connect with the team: https://join.slack.com/t/absinthecommunity/shared_invite/zt-...

  • Python
  • TypeScript
  • dbt
  • FastAPI
  • Node.js
  • PostgreSQL
  • React
  • AWS
  • Terraform
  • Full-time

Ledgebrook | https://www.ledgebrook.com | Multiple roles (Engineering, Data, IT/Security, Product) | REMOTE (US, Canada, Poland ET-friendly) | Full-time | Visa: Not available

We’re a tech-enabled E&S MGA on a mission to modernize Specialty insurance. The industry is burdened with legacy technology and inefficient processes, preventing innovation at scale. We are changing that. Our goal is to become the best-in-class full-stack insurance and re/insurer, leveraging AI and data-driven insights to revolutionize underwriting, pricing, and risk selection. We believe in talent density—fewer, better people working together as one. We win as a team.

Open roles:

• Engineering Manager — https://app.careerpuck.com/job-board/ledgebrook/job/77.E51

• Fullstack Software Engineer (Backend, Python/TypeScript) — https://app.careerpuck.com/job-board/ledgebrook/job/08.75A

• Data and Analytics Engineer (Snowflake/dbt/Airflow) — https://app.careerpuck.com/job-board/ledgebrook/job/77.E5D

• Machine Learning Engineer — https://app.careerpuck.com/job-board/ledgebrook/job/77.E59

• Head/Director of IT & Security (SOC 2/IdP/MDM) — https://app.careerpuck.com/job-board/ledgebrook/job/77.E58

• Product Manager, Data and Infrastructure — https://app.careerpuck.com/job-board/ledgebrook/job/67.E5E

Our stack (role-dependent): Python, TypeScript/React, FastAPI, Node; Postgres, Snowflake, dbt, Airflow; AWS (ECS Fargate, S3, CloudFront, Route53, Secrets Manager), Terraform; Bedrock, LangChain/CrewAI; PowerBI

Requirements (vary by role): Strong ownership and bias for action; clarity in written communication; hands-on delivery in lean teams; comfort with ambiguity and high standards. Deep experience with one or more areas above (shipping production systems, data pipelines, LLM apps, or secure/AWS infra).

Benefits: Competitive comp + equity, medical/dental/vision, PTO, remote-first with periodic team onsites.

Apply: email hiring@ledgebrook.com with subject “HN: — ”. Please include a brief note on why Ledgebrook, a recent project you’re proud of, and your LinkedIn/GitHub. We’re actively hiring and will respond to applicants.