Senior Software Engineer - Data + AI Observability

Databricks

🔍 Observed

Bengaluru, India First seen 3 weeks ago Last seen 5 hours, 54 minutes ago Greenhouse

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Job Description

AI Summary

• Develop and lead observability products that help customers monitor AI and data workloads, optimize performance, and reduce costs across billions of daily data entries and 65+ cloud regions • Requires 6+ years of production experience in Java, Scala, Python, C++, or similar language, plus demonstrated expertise with cloud platforms (AWS, Azure, GCP) and distributed systems architecture • Design data infrastructure systems, mentor engineers, and own large product milestones from requirements through execution and iteration with cross-functional teams • Lead integrations with popular data warehousing tools and drive platform adoption by internal and external customers with strong engineering maturity and operational excellence • Founded by engineers with a customer-obsessed culture focused on solving world-scale problems in AI and data infrastructure

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 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.

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, please visit https://www.mybenefitsnow.com/databricks.

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.

Skills

go kubernetes aws docker java python

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Job Information

Company:
Databricks
Location:
Bengaluru, India
Job Type:
Internship
Experience Level:
Senior
Source:
Greenhouse
Status:
Active

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66 /100

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