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Apply on employer site ↗https://databricks.com/company/careers/open-positions/job?gh_jid=8589169002
Where this job mentions Go
DevSecOps, or a related technical operational role. - High-level proficiency in at least one modern language (Python, Go, Bash, or Java) with the technical aptitude to read, edit, and troubleshoot software and infrastructure code
Location & work details
Office location and remote eligibility are separate. A country flag describes the stated location, not who may apply.
- Original location
- McLean, Virginia
- Stack
- - High-level proficiency in at least one modern language (Python, Go, Bash, or Java) with the technical aptitude to read, edit, and troubleshoot software and infrastructure code natively. (Source language/tool mention)
- Stack
- - High-level proficiency in at least one modern language (Python, Go, Bash, or Java) with the technical aptitude to read, edit, and troubleshoot software and infrastructure code natively. (Source language/tool mention)
- Stack
- - High-level proficiency in at least one modern language (Python, Go, Bash, or Java) with the technical aptitude to read, edit, and troubleshoot software and infrastructure code natively. (Source language/tool mention)
- Stack
- - Strong foundation in Linux/Unix systems engineering, containers (Docker/Kubernetes orchestration mechanics), and automated patch deployment pipelines. (Source language/tool mention)
- Stack
- - Strong foundation in Linux/Unix systems engineering, containers (Docker/Kubernetes orchestration mechanics), and automated patch deployment pipelines. (Source language/tool mention)
- Stack
- - Hands-on debugging and systems administration experience inside major public cloud boundaries (specifically AWS, Azure, or GCP platforms). (Source language/tool mention)
- Stack
- - Solid baseline familiarity with Infrastructure-as-Code (IaC) tools such as Terraform or CloudFormation. (Source language/tool mention)
- Normalization
- Explicit source location text; no city-only country inference.
Employer posting
Staff Technical Solution EngineeringSource details
Company identifier: Databricks
Source ID: greenhouse:databricks:8589169002
Board: greenhouse:databricks
Evidence field: description
Match rule: alternative_in_list
Go matches in source: 2
Department as supplied: Engineering - Pipeline
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