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Software Engineer, Infrastructure

Flexcompute
Watertown, USA
Junior · 2+ years experience
Onsite
Discovered 1 weeks ago
awsdockerkuberneteslinuxpythonterraform

Full Job Posting

Responsibilities

  • Design and build backend services for the Tidy3D platform.
  • Develop and operate the control plane: the APIs, services, and data model behind task submission, job state, and result delivery.
  • Build scheduling and resource management for simulation jobs across heterogeneous GPU capacity.
  • Handle the operational concerns that come with a multi-tenant product: authentication, authorization, usage metering, and quota enforcement.
  • Help with the deployment of our products to customers.
  • Manage packaging and release to PyPI, and keep client and backend versions compatible across a long tail of installed versions.
  • Own the release pipeline end to end: versioning, CI/CD, staged rollout, and rollback.
  • Standardize deployment patterns so the same product ships to our cloud, to customer-managed cloud accounts, and to on-premises installations.
  • Keep production healthy.
  • Instrument the platform and own its monitoring and alerting.
  • Respond to incidents and debug across boundaries, from a customer's Python traceback down to a stuck job on a GPU node.
  • Manage cloud cost and capacity as usage grows.

Requirements

  • 2+ years building and operating production cloud services. New grads with exceptional background are encouraged to apply too.
  • Strong Python. You have written backend services in it, not just scripts.
  • Hands-on experience with a major cloud provider such as AWS, Docker, and Kubernetes.
  • Infrastructure as code in production, ideally Terraform, with reusable modules rather than hand-managed environments.
  • Linux fluency and comfort operating in production.
  • Nice to have
  • GPU or HPC workloads, cluster schedulers such as Slurm, Ray, or Kueue, or high-throughput batch compute.
  • Designing, packaging, and distributing a developer-facing Python library or SDK.
  • On-premises, self-hosted, or air-gapped software deployment, and the enterprise requirements that come with it: SSO, network isolation, security review.
  • A background in physics, engineering, or scientific computing, or prior work on technical software for technical users.
  • Open source contributions to infrastructure or scientific computing projects.

Benefits

  • Competitive compensation with equity of a fast-growing startup.
  • Medical, dental, and vision health insurance.
  • 401(k) Contribution.
  • Gym allowance.
  • Friendly, thoughtful, and intelligent coworkers.

Preferred Qualifications

  • GPU or HPC workloads, cluster schedulers such as Slurm, Ray, or Kueue, or high-throughput batch compute.
  • Designing, packaging, and distributing a developer-facing Python library or SDK.
  • On-premises, self-hosted, or air-gapped software deployment, and the enterprise requirements that come with it: SSO, network isolation, security review.
  • A background in physics, engineering, or scientific computing, or prior work on technical software for technical users.
  • Open source contributions to infrastructure or scientific computing projects.

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