---
title: 'Software Engineer, Infrastructure at Databricks'
canonical: 'https://feeny.ai/job/software-engineer-infrastructure-databricks-bengaluru-b6fam0n38r64'
type: 'job'
last_seen: '2026-10-17'
---

# Software Engineer, Infrastructure at Databricks

- **Company:** Databricks
- **Location:** Bengaluru, India
- **Posted:** 2026-09-30
- **Last confirmed live:** 2026-10-17
- **Apply:** https://databricks.com/company/careers/open-positions/job?gh_jid=8829029002

## Job description

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](https://www.linkedin.com/company/databricks), [X](https://x.com/databricks), [YouTube](https://www.youtube.com/@Databricks), and [Instagram](https://www.instagram.com/databricksinc/?hl=en).

## 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](https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing).

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.

## About Databricks

## Company Overview
- **One-liner**: Databricks provides a unified data and AI platform built on an open lakehouse architecture, enabling organizations to manage data, analytics, and AI at scale.
- **Entity Type**: Private (late-stage, last reported valuation ~$43B in 2021, but current valuation not publicly disclosed)
- **Headquarters**: San Francisco, California, USA
- **Founded**: 2013
- **Founders**: Original creators of Apache Spark™, Delta Lake, MLflow, and Unity Catalog (co-founders include Ali Ghodsi, Matei Zaharia, Ion Stoica, Patrick Wendell, Reynold Xin, among others)

## Core Business
- Primary industry: Data & AI Platform / Enterprise Software
- Target customers: B2B – Enterprise, SMB, and government organizations; over 20,000 customers worldwide, including 70% of the Fortune 500
- Mission: “Simplify and democratize data and AI, helping data and AI teams solve the world’s toughest problems.” [databricks.com](https://www.databricks.com/company/about-us)

## Products & Services
- **Databricks Data Intelligence Platform**: Unified platform for data engineering, data warehousing, data science, machine learning, and AI. It integrates open-source technologies like Apache Spark, Delta Lake, MLflow, and Unity Catalog.
- **Lakebase**: Serverless Postgres database integrated with the lakehouse, built for the AI era.
- **Genie**: AI-powered natural language assistant for data insights and querying.
- **Agent Bricks**: Tools for building AI agents that continuously improve quality and accuracy on an organization’s data.
- **Additional offerings**: Data warehousing, business intelligence, governance, data engineering, and AI/ML services.

## Market Standing
- **Valuation/Market Cap**: Not publicly available (private company; last reported valuation of $43B in 2021 from a Series I round, but no recent official disclosure)
- **Key Metric**: Over 10,000 employees; 20,000+ customers; 70% of Fortune 500; 1,200+ global partners [databricks.com](https://www.databricks.com/)
- **Notable Investors/Partners**: Not explicitly listed in search results, but known investors include Andreessen Horowitz, Tiger Global, Microsoft, and others. Partners include major cloud providers (AWS, Azure, GCP) and consulting firms.
- **Growth Signals**: Headcount of 10,000+ employees; offices in 30+ locations across 20+ countries; 5x Leader in Gartner® Magic Quadrant™ Reports; LinkedIn job postings growing 26.7% year-over-year (783 active positions) [linkedin.com](https://www.linkedin.com/company/databricks)

## Competitive Advantages
- **Open lakehouse architecture**: Combines data lake and data warehouse capabilities with open-source standards, avoiding vendor lock-in.
- **Founding team behind Apache Spark, Delta Lake, MLflow**: Deep technical credibility and active open-source community.
- **Unified platform**: Single solution for data engineering, analytics, and AI, reducing complexity for enterprises.
- **Strong data governance**: Unity Catalog provides centralized access control and lineage.
- **AI-native**: Built-in AI capabilities (Genie, Agent Bricks) that leverage an organization’s own data.

## Strategic Focus
- Expanding AI capabilities with natural language interfaces and autonomous agents.
- Deepening integrations with cloud providers and open-source ecosystems.
- Scaling enterprise sales and global footprint (30+ offices, focus on EMEA and APAC).
- Cultivating a developer and data science community through university programs and open-source contributions.

## Why Work Here
- **Culture**: Described as “innovators, builders and truthseekers” with a focus on solving hard technical problems. Emphasizes inclusion, diversity, and equity, including closing the pay gap and removing unconscious bias from recruitment. [databricks.com](https://www.databricks.com/company/careers)
- **Work Environment**: Hybrid/flexible work model; benefits and perks include health, well-being, and flexible ways of working. Offices in major cities globally.
- **Engineering Culture**: Strong emphasis on open-source, AI, and data infrastructure. Opportunities for interns and new grads to contribute to core platform. Hackathons, board game nights, and social events.
- **Growth**: Fast-growing company (10,000+ employees, 20,000+ customers) with ambitious scaling plans, offering career advancement in engineering, sales, product, and more.

## Sources
1. [Databricks About Us](https://www.databricks.com/company/about-us)
2. [Databricks Careers](https://www.databricks.com/company/careers)
3. [Databricks Homepage](https://www.databricks.com/)
4. [Databricks LinkedIn](https://www.linkedin.com/company/databricks)

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