IT Software Engineer, Infrastructure
Databricks15 hours ago
Bengaluru, IndiaMid Level / Senior
Responsibilities
- Develop and deploy production-grade cloud infrastructure using AWS and Infrastructure as Code tools such as Terraform or Pulumi.
- Deploy, manage, and scale containerized workloads with Kubernetes, including EKS or AKS, with attention to security, reliability, and resource efficiency.
- Build and maintain GitHub Actions deployment pipelines, including cloud-hosted and self-hosted runners.
- Implement infrastructure standards that provide secure logging, metrics, and tracing by default.
- Build internal CLI tools, AI-assisted workflows, and automation scripts to improve developer workflows.
- Collaborate with Security, Engineering, Infrastructure, and Support teams on technical projects.
- Participate in code reviews, maintain operational playbooks and failure-triage guides, and help onboard team members.
Requirements
- 3–5 years of hands-on software engineering experience.
- Strong proficiency in Python for scripting, automation, and tooling.
- Working knowledge of Terraform or Pulumi, including modules and state management.
- Hands-on experience building and supporting production workloads in AWS, Azure, or GCP.
- Experience with Kubernetes and Docker fundamentals.
- Experience designing, maintaining, and troubleshooting GitHub Actions or similar CI/CD pipelines.
- Understanding of logging, metrics, and tracing, with hands-on experience integrating Datadog, Prometheus, or Grafana.
- Ability to own end-to-end tasks and break broader technical goals into actionable solutions with guidance from technical leads.
Benefits
- Databricks offers comprehensive benefits and perks, with region-specific details provided through the company benefits information.
Tech Stack
Categories
About Databricks
Databricks builds a cloud-based data and AI platform centered on the lakehouse architecture, combining data engineering, analytics, and machine learning with Apache Spark, Delta Lake, and MLflow. It sells subscriptions and cloud services to enterprises that need to unify data pipelines and develop large-scale AI and analytics. Founded in 2013 by the creators of Apache Spark and headquartered in San Francisco, the company is privately held and serves organizations across many industries.