Skip to content
VannevarVannevar

DevOps Engineer

Owns build and deployment automation, platform health, scaling, and self-service tools in a multi-account AWS environment. Requires 5+ years DevOps experience, deep AWS knowledge, IaC tools like Terraform/Pulumi, Docker, Python/Bash scripting.

About the job

What you'll do

  • Develop, maintain, and be responsible for overall platform health, scaling and planning.
  • Developing self-service tools and automating things to improve data engineering efficiency.
  • Build logging and monitoring tools to visualize the state of the platform and improve our SRE practices.
  • Play a critical part in implementing a secure, robust and high availability DevOps pipeline.
  • Work with the team to continue the build out of a multi-account AWS environment.
  • Automate build & deployment processes.

Qualifications

  • 5+ years of experience in DevOps, software engineering.
  • Experience crafting CI/CD processes and automation.
  • Deep knowledge in AWS cloud technology.
  • Experience with PLG stack, Datadog, or other enterprise monitoring tools.
  • Familiarity with infrastructure as code technologies such as Terraform and Pulumi.
  • Proficient with containerization technologies like Docker.
  • Excellent with Python, Bash, or other scripting languages.
  • Experience working in an agile scrum environment and also an ability to work independently.
  • Able to quickly learn new and existing technologies.
  • Strong attention to detail and excellent analytical capabilities.

Additional Qualifications (Nice to haves)

  • Experience working in AWS GovCloud.
  • Experience in data processing with the Department of Defense and/or the IC.
  • Experience building CD/CI systems in Github Actions.
  • Passion for DevSecOps.
  • Experience working with Elasticsearch/Opensearch.
  • Have worked hardening and delivering software applications.
  • Experience with modern web services architectures.
  • Experience with relational database systems, including SQL and relational design.
  • Knowledge of advanced networking concepts such as overlays, VPNs, and zero trust networks.
  • Strong collaboration and negotiation skills and must be able to work on multi-functional projects with internal partner engineering teams

Skills

AWS, Terraform, Pulumi, Docker, Python, Bash, CI/CD, Datadog, GitHub Actions, Kubernetes

Granica

Granica

Remote

Software Engineer, Infrastructure
No salary listedRemote5+ YOEDevOps / SRE

Build and operate cloud infrastructure, Kubernetes platforms, CI/CD systems, and observability for exabyte-scale data systems and reliable enterprise AI workloads. The role requires 5+ years of infrastructure, platform, or distributed systems experience and strong programming and cloud skills.

Baseten

Baseten

San Francisco, CA

Capacity Ops Engineer
$170k+/yrHybrid5+ YOEDevOps / SRE

Leads global GPU capacity management across acquisition, orchestration, infrastructure automation, and incident response. The role requires 5+ years of experience, deep Kubernetes expertise, production Go or Python skills, and the ability to balance reliability with unit economics.

Teleport

Teleport

United States

IT Security and Automation Engineer
$149k+/yrRemoteDevOps / SRE

Build IT workflow automation and security tooling using Go, Temporal, Kubernetes, Terraform, and shell scripting. The role also supports internal IT systems and integrations across endpoint management, identity, access, and security administration.

Crusoe

Crusoe

United States

Electrical Field Engineer - Data Center
$196k+/yrRemote5+ YOEDevOps / SRE

Electrical Field Engineer supports on-site installation, testing, and commissioning of data center power systems like switchgear, transformers, UPS, and generators. Requires 5+ years experience, Bachelor's in Electrical Engineering, and 50%+ travel to sites.

Beacon AI

Beacon AI

San Carlos, CA

Software Engineer, Cloud Infrastructure
$135k+/yrHybridDevOps / SRE

Build and operate AWS cloud, ML, LLM, RAG, and IoT infrastructure, including deployment platforms, data pipelines, vector search, observability, security, and cost controls. The role requires deep AWS experience and production experience with LLM-powered applications.