Software Engineer, Infrastructure

Databricks
Mountain View, CA, United States
8 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Experienced
Experience required
3 years minimum
Compensation
$136,300.0 - $187,450.0
Working hours
Regular working hours
Job source

Tech stack

Artificial Intelligence Amazon Web Services Microsoft Azure Cloud Computing Continuous Integration Github Python (Programming Language) Prometheus Software Engineering Systems Architecture Datadog Data Logging
+9 more
Pulumi Scripting Grafana Infrastructure as Code (IaC) Containerization Kubernetes Infrastructure Automation Frameworks Terraform Docker

Job description

As a Software Engineer, Infrastructure, you will be a core technical contributor on the IT CorpEng Infrastructure team, owning and driving the evolution of our core infrastructure and observability platforms. This role requires a strong software engineering mindset, deep technical breadth across SRE and infrastructure worlds, and the ability to deliver high-quality, scalable solutions for currently ā€œimmatureā€ system problems. You will be responsible for building resilient, scalable, and automated infrastructure that empowers our development teams. As a member of the team, you will bridge the gap between software engineering and systems architecture, ensuring our AWS environment is cost-optimized, secure, and highly available., * Automate: Develop and deploy production-grade infrastructure on cloud platforms (AWS preferred) using Infrastructure as Code tools like Terraform or Pulumi.

  • Orchestration: Deploy, manage, and scale containerized workloads using Kubernetes (EKS/AKS), focusing on security, reliability, and resource efficiency.
  • CI/CD Excellence: Build and maintain robust deployment pipelines using GitHub Actions, including both cloud-hosted and self-hosted runners for specialized build requirements.
  • Drive ā€œObservable by Defaultā€ Frameworks: Implement infrastructure standards to ensure new internal applications are secure, with logging, metrics, and tracing configured out of the box.
  • Tooling, Scripting & AI: Build internal CLI tools, AI-assisted workflows, and automation scripts to streamline developer workflows and reduce manual toil.
  • Partner Cross-Functionally: Collaborate with Security, Engineering, Infrastructure, and Support teams to execute technical projects aligned with business outcomes.
  • Document & Knowledge Share: Participate in peer code reviews, maintain operational playbooks/failure triage guides, and help onboard team members onto platforms you maintain.

Requirements

  • Software Engineering Expertise: 3+ years of hands-on software engineering experience, with strong proficiency in Python for scripting, automation, and tooling (required).
  • Infrastructure as Code (IaC): Solid working knowledge of Terraform (modules, state management) or Pulumi (preferred).
  • Cloud & Containerization: Hands-on experience building and supporting production workloads in AWS (or Azure/GCP), along with Kubernetes and Docker fundamentals.
  • CI/CD & Automation: Practical experience designing, maintaining, and troubleshooting pipelines using GitHub Actions or similar modern CI/CD tools.
  • Observability Foundations: Practical understanding of observability pillars (logging, metrics, tracing) and hands-on experience integrating tools such as Datadog, Prometheus, or Grafana.
  • Independent Execution: Proven ability to own end-to-end tasks with guidance from Tech Leads, breaking down broader technical goals into actionable technical solutions.

Benefits & conditions

At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here.

About the company

Databricks is the Data and AI company. More than 20,000 organizations worldwide - including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 - rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram.

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