Workhelix-posted 2 months ago
San Francisco, CA
1-10 employees

We’re looking for a Software Engineer (DevOps) to help design, build, and maintain the systems that keep our platform fast, reliable, and secure. This is a hands-on engineering role for someone who loves infrastructure, automation, and high-leverage backend work. You’ll work across backend services, CI/CD, and cloud architecture — enabling the entire engineering team to ship confidently and often. You’ll collaborate closely with backend and frontend engineers, owning our deployment pipelines, AWS environments, and infrastructure-as-code. The ideal candidate thrives in startup environments — solving problems pragmatically, balancing speed and reliability, and continuously improving tooling and processes.

  • Own and evolve our CI/CD pipelines to ensure smooth, fast, and reliable deployments.
  • Manage and optimize our AWS environment (ECS, EC2, Lambda, S3, CloudFormation, CloudWatch, etc.), and abstract to multi-cloud environments such as GCP and Azure.
  • Build reproducible, scalable infrastructure using Terraform and other IaC tools.
  • Containerize and orchestrate applications using Docker and Kubernetes.
  • Improve monitoring, logging, and observability for all production systems.
  • Partner with backend engineers to automate testing, staging, and release workflows.
  • Contribute to backend services written in Python (FastAPI) with SQLAlchemy and PostgreSQL.
  • Write and maintain test suites and deployment scripts that keep systems stable and predictable.
  • Help design and build APIs and integrations that connect infrastructure to product functionality.
  • Support the team in diagnosing and resolving performance or reliability issues across environments.
  • Work cross-functionally with product, backend, and frontend teams to deliver secure, reliable releases.
  • Operate effectively in a fast-paced, async environment — communicate clearly and prioritize well.
  • Contribute to technical documentation and help define standards for DevOps and deployment practices.
  • 5+ years of professional software engineering experience, with significant DevOps ownership.
  • Deep experience with AWS primitives and cloud architecture.
  • Strong expertise with CI/CD systems (GitHub Actions, CircleCI, or similar).
  • Skilled with Docker, Kubernetes, and containerized application deployment.
  • Experience with Terraform or other infrastructure-as-code frameworks.
  • Strong background in Python, FastAPI, and SQL-based data layers.
  • Proven ability to automate and streamline development and release workflows.
  • Experience with VPNs (Tailscale, or similar).
  • Experience with Kubernetes, GCP, or Azure.
  • Familiarity with monitoring tools (Grafana, Prometheus, Datadog, or similar).
  • Competitive compensation package and benefits.
  • Chance to learn and collaborate with some of the most famous researchers in the AI and digital economy space: Andrew Ng, Erik Brynjolfsson, Andy McAfee, and Daniel Rock.
  • The unique opportunity to help build a company, culture, and products from the ground up with a team that values healthy working practices.
  • A high-trust, high-autonomy work environment.
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