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.

Software Engineer, Platform Infrastructure

Responsibilities

Company

Axiombio

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