Senior Software Engineer
Listed on 2026-06-13
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Software Development
Software Engineer, AI Engineer (Applied/Software), DevOps
About Satomic
Satomic’s mission is to close the gap from idea to molecule with faster navigation of chemical space. We are building an automated chemistry platform that integrates laboratory robotics, software, and AI to transform small‑molecule synthesis and drug discovery.
Satomic has raised a $15M seed from investors including Riot Ventures, HOF Capital, and Compound VC. Our team includes alumni from leading large pharmas, small biotechs, and AI labs.
AboutThe Role
This is a senior, hands‑on engineering role on the Development team. You’ll build, not manage, a team. Your focus will be on the core software platform at the center of Satomic’s chemistry operations: orchestration, internal tooling, and data systems that move a synthesis request from intake through execution to result.
You’ll collaborate closely with the hiring manager, automation engineers, chemists, and ML/cheminformatics teams. The scope you own will grow as the platform evolves.
A strong full‑stack engineer who owns problems end‑to‑end is required. You should design services and APIs, model data flows, and build interfaces for operators and scientists. You’ll drive architectural decisions that maintain system correctness as the platform expands, covering request orchestration, job scheduling, data capture, and internal web tools.
We value engineers whose craft is not tied to a single language. Day‑to‑day, the role is primarily Python on the backend and Type Script/React on the frontend, but you should be fluent across the stack and ready to pick up languages such as Rust, Go, or C++ when needed.
Technologies And Systems You May Work With- Python backend and Type Script/React frontend, with flexibility to choose the right tool for the problem
- Relational databases and SQL (Postgres), data pipelines, and event‑driven systems that move data through the platform
- REST/gRPC APIs, message queues, and distributed systems design for experiment orchestration and platform control
- Cloud infrastructure (AWS, GCP, Azure), infrastructure‑as‑code, CI/CD, observability, and testing frameworks
- Integration with laboratory automation systems, ML/conversion models, and the cheminformatics search engine
- Develop a working understanding of the platform end‑to‑end, including the flow from intake through automated synthesis to result and identify software seams and pain points.
- Ship meaningful improvements or features into production, with tests and documentation.
- Engage with the existing roadmap, identify near‑term priorities, and flag dependencies and risks.
- Deliver at least one core service or system component that other teams build against, with a clear interface and solid understanding of failure modes.
- Establish or strengthen engineering practices around your work (testing, deployment, observability) to help the team move faster.
- See your work run under real production load as the platform begins shipping deliveries to customers.
- Partner with automation and chemistry teams to ensure structured, traceable data throughout the systems you work on.
- Become the primary owner of a major platform surface area and make architectural decisions independently.
- Keep those systems reliable as chemistry and automation requirements shift, evolving the architecture to stay robust.
- Raise the engineering bar on the team through the systems you build, code reviews, and practice establishment.
- Become a recognized technical leader within Satomic, shaping how the company builds software and mentoring strong engineers.
- Build core platform systems that scale across multiple generations of chemistry capability without accruing architectural debt.
- Make the software platform a durable competitive advantage in how Satomic runs chemistry at scale.
- Design, implement, and operate core platform services, APIs, and the orchestration layer behind Satomic’s "API to Atoms."
- The data model and data systems that capture, track, and expose platform activity, collaborating with data producers and consumers.
- Internal tooling that operators, chemists, and other engineers depend on for daily work.
- Engineering quality and operation of the…
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