Software Engineer, Infrastructure
Databricks is a data and AI platform that lets organizations build analytics, AI agents, and applications on a unified, governed lakehouse.
Funding history
Investors
About Databricks
Data engineers, analysts, and AI teams use Databricks to process large datasets, build reliable pipelines, and train models on a single governed platform. Users can run SQL analytics, serve ML predictions in real time, and deploy AI agents grounded in enterprise data. Its open lakehouse architecture provides consistent security and governance across analytical and operational workloads.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
You will be a core technical contributor on the IT CorpEng Infrastructure team, building resilient, scalable, and automated infrastructure. You'll develop infrastructure as code, manage Kubernetes workloads, build CI/CD pipelines, implement observability standards, and create internal tooling while collaborating across teams.
Requirements
- 3–5 years of software engineering experience with strong Python proficiency
- Working knowledge of Terraform or Pulumi
- Hands-on experience with AWS (or Azure/GCP), Kubernetes, and Docker
- Experience with GitHub Actions or similar CI/CD tools
- Understanding of observability (logging, metrics, tracing) and tools such as Datadog, Prometheus, or Grafana
- Ability to own end-to-end tasks with guidance from Tech Leads
Responsibilities
- Develop and deploy production-grade infrastructure on cloud platforms using Terraform or Pulumi
- Deploy, manage, and scale Kubernetes workloads
- Build and maintain GitHub Actions deployment pipelines
- Implement Observable by Default infrastructure standards
- Build internal CLI tools, AI-assisted workflows, and automation scripts
- Collaborate with Security, Engineering, Infrastructure, and Support teams
- Participate in code reviews, maintain operational playbooks, and onboard team members