Databricks

Databricks

Posted via Greenhouse

IT Software Engineer, Infrastructure

Posted Sep 30, 2026

Role at a glance

Job function
Software Engineering & IT Software Engineering
Salary
Not Disclosed
Location
Bengaluru, India
Experience
3–5 years of hands-on software engineering experience

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Role Summary

AI-generated

The IT Software Engineer (Infrastructure) contributes to the evolution of Databricks’ corporate infrastructure and observability platforms. The role builds and maintains automated, scalable infrastructure and developer tooling, with a focus on reliability, security, and efficient operations.

What You'll Do

  • Develop and deploy production-grade infrastructure on cloud platforms using infrastructure-as-code tools.
  • Deploy, manage, and scale containerized workloads with Kubernetes, emphasizing security, reliability, and resource efficiency.
  • Build and maintain deployment pipelines using GitHub Actions, including cloud-hosted and self-hosted runners.
  • Establish observability standards so internal applications have logging, metrics, and tracing configured.
  • Build internal CLI tools, AI-assisted workflows, and automation scripts to streamline developer workflows.
  • Collaborate with partner teams, participate in code reviews, maintain operational playbooks and failure-triage guides, and help onboard...

Generated from the employer's posting. Verify important details before applying.

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Qualifications

3–5 years of hands-on software engineering experience and strong proficiency in Python for scripting, automation, and tooling. Solid working knowledge of Terraform, including modules and state management; hands-on experience building and supporting production workloads in AWS or Azure/GCP, with Kubernetes and Docker fundamentals; practical experience designing, maintaining, and troubleshooting pipelines using GitHub Actions or similar CI/CD tools; practical understanding of logging, metrics, and tracing, with hands-on experience integrating tools such as Datadog, Prometheus, or Grafana; and ability to own end-to-end tasks with guidance from Tech Leads.

Required

  • 3–5 years of hands-on software engineering experience
  • Strong proficiency in Python for scripting, automation, and tooling
  • Solid working knowledge of Terraform, including modules and state management
  • Hands-on experience building and supporting production workloads in AWS or Azure/GCP
  • Kubernetes and Docker fundamentals
  • Practical experience designing, maintaining, and troubleshooting pipelines using GitHub Actions or similar modern CI/CD tools
  • Practical understanding of observability pillars (logging, metrics, tracing) and hands-on experience integrating tools such as Datadog,...
  • Ability to own end-to-end tasks with guidance from Tech Leads

Preferred

  • Pulumi
  • AWS

Original job description

Content provided by the employer
View on company site

GAQ327R265

About the Role

At Databricks Information Technology, we are a product-led organisation transforming the way we work, from how easy it is to use our IT services to the applications we develop to help us scale seamlessly amid incredible growth.

As an IT 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 "immature" 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-optimised, secure, and highly available.

The impact you will have:

  • 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 containerised 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 specialised build requirements.
  • Drive "Observable by Default" 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.

What we look for:

  • Software Engineering Expertise: 3–5 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.

About Databricks

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.

Benefits

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.

Our Commitment to Diversity and Inclusion

At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.

Compliance

If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

Databricks

About the company

Databricks

Large Enterprise

Databricks is a cloud-based data platform that specializes in providing solutions for data engineering, machine learning, and analytics. Founded in 2013 by the original creators of Apache Spark, the company enables organizations to unify data processing and analysis workflows, facilitating collaboration for data professionals. Databricks offers an integrated environment for data scientists, engineers, and business analysts, streamlining the process of building and deploying AI and data-driven applications. With a strong emphasis on simplifying big data management, Databricks helps businesses harness the power of their data to drive innovation and insights.

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