Infrastructure software engineer on Databricks' IT CorpEng team in Bengaluru, owning core internal infrastructure and observability platforms.

This full-time Bengaluru role was posted on 30 September 2026. The listing describes Databricks IT as a product-led organisation, with this role a core technical contributor on the IT CorpEng Infrastructure team, owning and driving the evolution of core infrastructure and observability platforms. Requirements include 3-5 years of hands-on software engineering with strong proficiency in Python, and solid working knowledge of Terraform (modules, state management) or Pulumi, which is preferred.

About Databricks

Databricks builds a data and AI platform around the lakehouse architecture, combining data warehousing and data lakes for analytics, data engineering and machine learning. The company was founded by the creators of Apache Spark.

Databricks has a large engineering presence in Bengaluru, with listings spanning platform engineering, monitoring and reliability, and customer-facing engineering roles. Learn more on Databricks's website.

The role in plain terms

The product-led IT framing matters: the team treats internal infrastructure as a product with users, not a ticket queue, which changes how you design and measure your work. The 3-5 year band makes this a solid mid-level infrastructure seat with real ownership - 'owning and driving the evolution' of platforms is not maintenance language. Pulumi preferred over Terraform is an unusual, telling stack choice.

The team and the work

Per the listing, the scope is corporate engineering infrastructure and observability - the internal platforms employees and engineering teams rely on, distinct from the customer-facing Databricks product.

What the employer asks for

These requirements are quoted from the employer's listing, kept in their exact words so eligibility details are not distorted:

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.

Who this role suits

Software engineers with 3-5 years, strong Python, and working IaC knowledge (Terraform or Pulumi) who want internal platform ownership. Not for engineers who only want to work on the customer product, or pure ops profiles without software engineering depth.

Practical notes

For internal infrastructure roles, expect IaC design questions (modules, state, drift handling) plus a Python coding round. A story about an internal platform you improved for its users fits the product-led framing.

Working at Databricks

Work at Databricks centres on large-scale data systems: query engines, orchestration, observability and the infrastructure that runs customer data and AI workloads.

How to apply

Apply directly on the employer's site: Software Engineer, Infrastructure at Databricks. We found this listing on the Greenhouse public job board (databricks.com), where it was posted on 30 Sep 2026 and was still open when we checked on 30 Oct 2026. Before applying, re-read the employer's own description in full, since eligibility details, deadlines and process steps can change at any time and the employer's page is always the final word. Tailor your resume to the specific requirements above rather than sending a generic one: mirror the skills and tools the listing names where you genuinely have them. A short, specific note on why this team and this problem interest you goes further than a long generic cover letter. Never pay a fee to apply or interview; genuine employers, including this one, do not charge candidates.

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