Senior Software Engineer - Data + AI Observability

Databricks; Bengaluru; On-site; INR 350,000 - 700,000; Full time

Job summary

Databricks in Bengaluru is seeking a Senior Software Engineer on the Customer Foresight Team to lead development of products that give customers insights on AI and data workloads, optimize performance, and reduce costs. You will build data infrastructure processing billions of entries daily and deploy to cloud regions worldwide.

You will guide milestones from requirements refinement to execution, partner with teams, and mentor engineers.

Qualifications

• 6+ years of production level experience in Java, Scala, Python, C++, or similar language.
• Experience with cloud technologies (AWS, Azure, GCP), Docker and Kubernetes
• Proven track record in architecting, developing, deploying, and operating large-scale distributed systems
• Strong software engineering maturity: security, correctness, engineering excellence, operational excellence
• Platform mindset and cross-functional collaboration

Responsibilities

• Develop systems that provide a reliable and timely observability interface for customers.
• Enable Databricks frameworks teams to publish data to customers.
• Lead milestones from the observability roadmap and contribute to the long-term product vision for Databricks products.
• Mentor other engineers toward contributing to the product and their career growth.
• Drive scalability and cost optimization for large data pipelines.

Skills

6+ years experience

Java/Scala/Python/C++

Observability/Monitoring

Distributed systems design

Cloud platforms

Tools

Docker

Kubernetes

Job description

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 will 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.

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.

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