Senior Software Engineer - Data + AI Observability
Databricks · Bengaluru, India · Engineering - Pipeline · listed March 6, 2025
The shape of it
Seniority
Senior
Experience asked
6+ years
Where
Not stated
Requirements listed
6
Length
682 words
In the posting’s own words
As a Senior Software Engineer on the Customer Foresight Team , you'll lead the development of products that customers use to get insights on their AI and data workloads, optimize their performance, and lower costs. You will build data infrastructure that processes billions of entries daily, deploy to over 65 cloud regions worldwide, and enable some of the world's biggest companies to conduct their DevOps, FinOps, SecOps and AIOps jobs.
What it asks for · 6
- 6+ years of production level experience in one of: Java, Scala, Python, C++, or similar language
- Experience with cloud technologies, e.g. AWS, Azure, GCP, Docker, Kubernetes
- Proven track record in architecting, developing, deploying, and operating components of large scale distributed systems
- Strong software engineering maturity: security, correctness, engineering excellence, operational excellence
- Platform mindset: effective building platforms for other software teams , iterating quickly to reduce friction to adoption, advocating for platform use
- Cross-functional skills: we have platform customers internal at Databricks as well as external customers, which requires strong cross-functional skills
What the job covers
- Develop systems that make it simple for customers to answer questions about their Databricks environment by providing a reliable and timely interface for observability
- Make it easy for frameworks teams across Databricks to publish their data to customers
- Effectively lead large milestones from the observability roadmap, contribute to the long-term vision and requirements development for Databricks products
- Mentor other engineers towards contributing to the product and their career growth
- Optimize the scalability and cost of large data pipelines towards reducing costs for customers and opening up new product opportunities
- Drive integration with popular tools and services in the broader data warehousing ecosystem
Tools and skills named
Cloud & infra
- Observability2×
- AWS
- Azure
- Distributed systems
- Docker
- GCP
- Kubernetes
Data
- Databricks5×
- Data pipelines
- Data warehouse
Languages
- C++
- Java
- Python
- Scala
Product & design
- Roadmap
- User experience
Ways of working
- Cross-functional2×
Security & compliance
- Security
Words the posting leans on
- data10×
- customers9×
- product7×
- platform6×
- development5×
- costs3×
- engineers3×
- infrastructure3×
- large3×
- software3×
- world3×
- billions2×
- broader2×
- building2×
- cloud2×
- cross-functional skills2×
Counted from the posting after the mission statement and the legal notices are set aside. The ones near the top are the ones a screener is looking for.
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