Software Engineer, InfrastructureDatabricks
Most engineers ship features. This role ships the platform on which those features run.
At Databricks IT CorpEng (Bengaluru), we treat internal infrastructure like a product. When a new app launches, its cloud setup, Kubernetes, deployment pipeline and monitoring are all ready from day one. You'll build that. 🛠️
🧩Software Engineer, Infrastructure:
🌱 Why it's exciting → Build, don't babysit. Our systems are still in their early stages, so you'll help design them. → Infrastructure is software. If it can be coded and automated, it should be. → Observable by default. Logging, metrics and tracing come built in. → AI in the toolkit. You'll build AI-assisted tools and CLIs that cut repetitive work.
🧰 Your stack:
· Python
· Terraform/Pulumi
· AWS (EKS)
· Kubernetes and Docker
· GitHub Actions
· Datadog, Prometheus, Grafana.
You'll also be working at the company behind the Databricks Data Intelligence Platform.
💡 How we work:
· Customer obsessed
· Raise the bar
· First principles
· Bias for action
· Company first
🎯 Must-haves
✅ 6+ years in software or infrastructure engineering
✅ Strong Python for automation and tooling
✅ Terraform (modules, state) or Pulumi
✅ AWS in production, plus Kubernetes and Docker
✅ GitHub Actions or similar CI/CD
✅ Hands-on observability (Datadog, Prometheus or Grafana)
✅ A background in platform engineering or SRE at scale, with a focus on cost, security and uptime.
If you'd rather write a Terraform module than click-through a console 😉, let's talk.
👉 Apply Here: https://lnkd.in/dfXn4cBK
♻️ Tag someone/an engineer who'd love this!
#Databricks #Hiring #PlatformEngineering #SRE #Terraform #Kubernetes #AWS #Python #Observability #BengaluruTech
Sonali Sachan | Jeffry Issac| Monika Singh T.| Shaswati Sen|
tal saysbuild and automate internal cloud infrastructure, kubernetes, and deployment pipelines at databricks in bangalore
engineering
senior
Bangalore
series-c+
pythonterraformawskubernetesdocker
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