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Apply on employer site ↗https://databricks.com/company/careers/open-positions/job?gh_jid=8593107002
Where this job mentions Go
ent. What We Look For - 9+ years of experience building production-grade, distributed systems in Java, Scala, C++, or Go. - Proven track record of architecting solutions for large-scale infrastructure, cloud computing (AWS/Azure/G
Location & work details
Office location and remote eligibility are separate. A country flag describes the stated location, not who may apply.
- Original location
- Bengaluru, India
- Country
- Bengaluru, India (ATS location fields)
- Stack
- - 9+ years of experience building production-grade, distributed systems in Java, Scala, C++, or Go. (Source language/tool mention)
- Stack
- - 9+ years of experience building production-grade, distributed systems in Java, Scala, C++, or Go. (Source language/tool mention)
- Stack
- - Proven track record of architecting solutions for large-scale infrastructure, cloud computing (AWS/Azure/GCP), and container orchestration (Kubernetes/Docker). (Source language/tool mention)
- Stack
- - Proven track record of architecting solutions for large-scale infrastructure, cloud computing (AWS/Azure/GCP), and container orchestration (Kubernetes/Docker). (Source language/tool mention)
- Stack
- We manage the infrastructure efficiency for one of the world's largest data and AI platforms. Operating at massive scale across AWS, Azure, and GCP, our mission is to ensure that every dollar spent on cloud infrastructure is optimized. The MCE team builds the critical tools, frameworks, and automated systems that provide deep cost visibility and ensure maximum resource utilization. We aren't just cutting costs; we are engineering systems to scale efficiently as our cloud footprint expands into the hundreds of millions of dollars. (Source language/tool mention)
- Stack
- Operating at massive scale across AWS, Azure, and GCP, our mission is to ensure that every dollar spent (GTM description)
- Stack
- platforms. Operating at massive scale across AWS, Azure, and GCP, our mission is to ensure that every dol (GTM description)
- Normalization
- Explicit source location text; no city-only country inference.
Employer posting
Staff Software Engineer - Multi Cloud EfficiencySource details
Company identifier: Databricks
Source ID: greenhouse:databricks:8593107002
Board: greenhouse:databricks
Evidence field: description
Match rule: alternative_in_list
Go matches in source: 3
Department as supplied: Engineering - Pipeline
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