or apply directly on Databricks's site. We never take the application ourselves.
Is this posting real?
- This role has been open
- 19 days Databricks's roles stay open a median of 45 days
- Reposted
- No
- Salary listed
- No 0% of Databricks's roles list one
- Ghost-job risk at Databricks
- low 0 stale, 25 reposted of 879 open
- Hiring momentum
- 1112 roles opened in the last 90 days ↑ up vs. the prior 90 days
- Last confirmed on the employer's board
- 2026-09-17
Measured from postings appearing on and disappearing from Databricks's own greenhouse board since 2026-08-03. Full hiring picture for Databricks.
About this role
As a Senior Software Engineer in the Observability team at Databricks, you will develop solutions to monitor the health and performance of products and infrastructure. Your role involves establishing standards for logging and metrics, collaborating with teams to identify performance metrics, building tooling for metrics management, and optimizing platform costs. You will also participate in on-call rotations to maintain operational excellence.
- benefits
- 1/5
- freshness
- 4/5
- career value
- 4/5
- role clarity
- 4/5
- pay transparency
- 0/5
Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of Databricks as an employer.
What you need
- BS (or higher) in Computer Science or a related field
- 7+ years of production-level experience in Python, Java, Scala, C++, or similar languages
- Experience in software development in large-scale distributed systems
- Familiarity with metrics collection, health monitoring, and observability tools
Worth weighing
- No specific salary or benefits details provided
- On-call rotation may imply additional responsibilities and time commitment
Summarised from Databricks's posting. Read the full original.
Listed by Databricks on their greenhouse job board, last confirmed open on 2026-09-17. PitchMeAI is not the employer.
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