Build the secure, reliable platform that powers Axiom's scientific AI agents, experimental data pipelines, and products used by the largest pharmaceutical companies and AI labs in the world.
What you will do:- Build and operate the shared infrastructure behind Axiom's scientific data pipelines, AI agents, research workflows, and Translate product.
- Own cloud infrastructure, compute, storage, databases, and networking, making systems reliable, secure, scalable, and cost-efficient.
- Develop workflow orchestration that lets scientists, engineers, and agents run complex computational pipelines with clear dependencies, durable state, and recovery from failures.
- Build secure execution environments for agents, with controlled access to scientific tools, models, and data, strict customer isolation, and resource and budget limits.
- Make scientific results reproducible through data versioning, lineage, snapshots, and automated checks that catch stale inputs, inconsistent features, and incomplete outputs.
- Build fast development environments, CI, and deployment systems that let people and agents ship changes confidently across development, staging, and production.
- Own authentication, permissions, secrets, and workload identity across internal systems, customer workspaces, laboratory partners, and model providers.
- Make systems observable through logs, metrics, traces, execution histories, and alerts that help people and agents investigate failures and verify results.
- Manage database migrations, backups, and recovery, and resolve production issues across Axiom's platform and infrastructure providers.
- Work directly with scientists, ML researchers, and product engineers to remove operational bottlenecks and turn recurring manual work into reliable, self-service tools.
What we look for:- Exceptional software engineering ability and experience building reliable production systems, with depth in infrastructure, distributed systems, platform engineering, or developer tools.
- Strong systems judgment. You simplify complex problems, choose clear abstractions, and build systems that remain understandable as they grow.
- End-to-end ownership. You identify what matters, make progress without a detailed specification, and follow through from design to deployment and operation.
- An instinct for reliability and correctness. You anticipate failure modes, make failures visible, and prevent silent errors from reaching scientific results or customers.
- Strong security judgment. You understand permissions, credentials, isolation, and trust boundaries, and make secure workflows easy to use.
- A talent for debugging across application code, databases, networks, cloud services, and execution environments.
- Experience building with AI agents and a drive to make them effective users of infrastructure, tools, and data, with appropriate controls and verification.
- Care for developer and scientist productivity. You notice recurring friction and replace manual work with dependable tools and automation.
- Clear communication, intellectual curiosity, and the willingness to learn biology, chemistry, and ML to build better systems for scientific discovery.
Technical skills we value:- Python, SQL, asynchronous programming, APIs, and production backend systems.
- AWS, Modal, Docker, Terraform, cloud networking, and infrastructure as code.
- DuckDB/MotherDuck, Postgres, S3, Parquet, database migrations, backups, and recovery.
- Workflow orchestration, dependency management, distributed execution, checkpointing, retries, and durable state.
- Data versioning, lineage, reproducible pipelines, and automated consistency checks.
- IAM, SSO, OAuth/OIDC, workload identity, secrets management, and customer isolation.
- Agent execution environments, sandboxing, tool access, model APIs, and resource and budget controls.
- CI/CD, GitHub Actions, isolated development environments, automated testing, and deployment strategies.
- Observability, including structured logs, metrics, tracing, alerting, Datadog, and production debugging.
- TypeScript, SvelteKit, Vercel, and internal developer tools are a plus.
