Databricks: Software Engineer, Infrastructure — Bengaluru, India
Databricks lists a Software Engineer, Infrastructure opening in Bengaluru, India. The job description covers Python, AWS, Azure, Google Cloud, Kubernetes, Docker, Terraform.
Recruitment overview
| Organisation | Databricks |
|---|---|
| Post / role | Software Engineer, Infrastructure |
| Department | Infrastructure |
| Employment type | Not specified |
| Notification / job ID | 8829029002 |
| Job location | Bengaluru, India |
| Work arrangement | Not specified |
| Educational qualification | See the employer’s role-specific qualification criteria |
| Experience required | Software Engineering Expertise: 3–5 years of hands-on software engineering experience, with proficiency in Python for scripting, automation, and tooling (required) |
| Salary / stipend | See employer notice for pay details |
| Last date to apply | See official notice |
About Databricks
Databricks develops a platform for data, analytics and AI. Its employer material describes bringing related capabilities together so organisations can build and scale applications, analytics and agents using their information. The advertised platform portfolio includes data-engineering, lakehouse, governance and AI-related products. Its business connects the infrastructure used to manage data with the tools used to derive insights or create applications, rather than treating those activities as entirely separate technology projects.
The position and its setting
Databricks lists Software Engineer, Infrastructure in Bengaluru, India, under reference 8829029002. The details below separate the work described by the employer from essential conditions, preferred experience and practical preparation advice.
- Department: Infrastructure
- Employer listing date: 30 September 2026
Responsibilities and work described
- 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 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
- 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
- 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
Essential requirements and candidate background
- Software Engineering Expertise: 3–5 years of hands-on software engineering experience, with proficiency in Python for scripting, automation, and tooling (required)
- 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: ability to own end-to-end tasks with guidance from Tech Leads, breaking down broader technical goals into actionable technical solutions
Preferred experience and additional strengths
- Infrastructure as Code (IaC): working knowledge of Terraform (modules, state management) or Pulumi (preferred)
Location, schedule and contract conditions
- Advertised location: Bengaluru, India
Benefits mentioned by the employer
- 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
Conditions requiring the complete notice
Some passages contain complex or combined conditions that have not been reduced to short eligibility statements here. Read the complete linked notice for those passages, including any alternatives, exceptions or restrictions. The concise facts above should not be treated as the full wording of every condition.
Pay and application dates
A verified salary figure is not established in this article. An online estimate for another Software Engineer, Infrastructure vacancy is not an offer for reference 8829029002; use the employer’s own pay disclosure and recruitment communication.
A closing date is not confirmed in this article. Check the current employer page before submitting: an undated posting can change or be withdrawn.
How to apply to Databricks
Applications follow the official employer page linked below.
Open the official Databricks posting below and match the title and reference 8829029002.
Compare your qualifications and experience with the essential conditions for the Bengaluru, India position, then read the preferred criteria separately.
Prepare an accurate CV and the supporting items requested in that employer’s application. Provide only information and documents you are authorised to share.
Use the employer’s application option, complete the required fields and review the submission. Retain the acknowledgement when one is provided. Job Alerts World does not receive the application.
Practical preparation: Python
Python work is easier to assess through a concrete example than a list of libraries. Explain the problem, the input data, the parts you implemented and how you checked the output. Include a repository or a short technical note when you can share it.
Relevant skills
- Python
- Kubernetes
- CI/CD
- Docker
- AWS
- GCP
- Azure
- AI/ML
- Google Cloud
- Terraform
Important links
| Official notification / job description | Open official page |
|---|
Read the complete official notice before applying. Availability and requirements can change.
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