Role at a glance
- Salary
- Not Disclosed
- Location
- Bengaluru, India
- Work arrangement
- On-site
- Employment
- Full-time
- Experience
- 6+ years of production level experience
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Role Summary
As a Senior Software Engineer on Databricks' Customer Foresight Team, this role develops products that provide insights into customers' AI and data workloads, optimize performance, and reduce costs. The team builds data infrastructure that processes billions of entries daily and supports DevOps, FinOps, SecOps, and AIOps workflows across cloud regions.
What You'll Do
- Develop systems that provide customers with a reliable and timely interface for observability of their Databricks environment.
- Enable frameworks teams across Databricks to publish data to customers.
- Lead large milestones from the observability roadmap and contribute to product vision and requirements development.
- Mentor engineers in contributing to the product and their career growth.
- Optimize the scalability and cost of large data pipelines.
- Drive integration with tools and services in the broader data warehousing ecosystem.
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View full postingQualifications
6+ years of production-level experience in Java, Scala, Python, C++, or a similar language; experience with AWS, Azure, GCP, Docker, or Kubernetes; experience architecting, developing, deploying, and operating large-scale distributed systems; software engineering maturity in security, correctness, engineering excellence, and operational excellence; platform-building and cross-functional skills.
Original job description
Content provided by the employer
Original job description
Content provided by the employer
P-1385
Companies are investing billions of dollars into developing and deploying AI and the data platforms that enable it. But do they know what is happening?
At Databricks, we are passionate about enabling data teams to solve the world’s toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world’s best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to tackle technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started.
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.
This role requires leading the technical development of product milestones from refinement of requirements, through execution, operation, and iterating with the broader product development team and partner teams to ensure product success.
The impact you will have:
- 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
What we look for:
- 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
About Databricks
Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram.
Benefits
At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here.
Our Commitment to Diversity and Inclusion
At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.
Compliance
If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
About the company
Databricks
Large Enterprise
Databricks is a cloud-based data platform that specializes in providing solutions for data engineering, machine learning, and analytics. Founded in 2013 by the original creators of Apache Spark, the company enables organizations to unify data processing and analysis workflows, facilitating collaboration for data professionals. Databricks offers an integrated environment for data scientists, engineers, and business analysts, streamlining the process of building and deploying AI and data-driven applications. With a strong emphasis on simplifying big data management, Databricks helps businesses harness the power of their data to drive innovation and insights.
Databricks is a cloud-based data platform that specializes in providing solutions for data engineering, machine learning, and analytics. Founded in 2013 by the original creators of Apache Spark, the company enables organizations to unify data processing and analysis workflows, facilitating collaboration for data professionals. Databricks offers an integrated environment for data scientists, engineers, and business analysts, streamlining the process of building and deploying AI and data-driven applications. With a strong emphasis on simplifying big data management, Databricks helps businesses harness the power of their data to drive innovation and insights.