Infrastructure Eng

Andera•San Francisco, CA

About The Position

Andera is building reliable AI agents for back-office finance, beginning with audit automation for large public companies. The company develops systems that parse and reason over large, complex financial datasets, aiming to reduce weeks of manual audit work to minutes of review. The Infrastructure Engineer will own the systems that run Andera’s agents, from architecture through deployment. Audit workloads can be bursty and process more than 100GB of financial data per engagement, so the infrastructure must scale, recover gracefully from failures, and remain observable in production. The role includes building and operating compute and orchestration systems, scaling ingestion and processing pipelines, improving production debugging, maintaining delivery infrastructure, and meeting enterprise security and reliability expectations.

Requirements

  • Strong systems engineering fundamentals, including the ability to design concurrent, distributed workloads over large datasets.
  • Ability to reason about throughput, backpressure, retries, and observability.
  • Production infrastructure experience, including end-to-end ownership of cloud infrastructure, provisioning, deployments, and monitoring.
  • Pragmatic automation instincts, including a preference for codifying infrastructure and choosing simple solutions where appropriate.
  • Ability to learn non-engineering domains quickly and translate audit concepts into working systems.
  • Experience with or adjacent to TypeScript, Python, Temporal, Docker, Terraform, and AWS Fargate.

Responsibilities

  • Design and operate the compute and orchestration layer that runs agents, using technologies such as Temporal, Docker, and AWS Fargate.
  • Scale data ingestion and processing pipelines to handle approximately 100GB or more per engagement without stalling.
  • Build observability, alerting, and tracing systems to make agent failures debuggable in production.
  • Own CI/CD, infrastructure-as-code, and deployment safety so engineers can ship frequently.
  • Harden infrastructure security, isolation, and reliability to meet enterprise customer requirements.
  • Own infrastructure from architecture through deployment, including provisioning, deploys, and monitoring.
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