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Databricks

Senior Software Engineer - Data + AI Observability

Bengaluru · Senior

Older listing - lower visibility likelyVerified listingPosted 35d ago

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86Overall
64Skills
97Experience

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What we know about this role

Hiring pulse

HIGH

Databricks is actively reviewing profiles and moving candidates through the pipeline right now.

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First 72 hours

Window passed - posted 35d ago

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Reposted role

This role was posted earlier, closed, and has now reopened - the company is accepting candidates again.

First posted Mar 6, 2025

Skills required

9 listed
Apache SparkDatabricksJava (Programming Language)Scala (Programming Language)Python (Programming Language)C++ (Programming Language)Google Cloud Platform (GCP)Docker (Software)+1 more
Apache SparkDatabricksJava (Programming Language)Scala (Programming Language)Python (Programming Language)

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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'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.

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Two ways in

Applicants who checked fit first are 3.1× more likely to hear back

Your match scoreCalculated · locked
86Overall
64Skills
97Experience

Your score for this role already exists

ASAI compared this JD against 41 signals - skills, seniority, domain, stack overlap etc. Add a resume and it unlocks in about 30 seconds.

No credit card · 1 tap with Google

Free · no signup

Get tomorrow's jobs before you have to search

Daily job drops, skill trends and free resources - posted straight to the group. Leave any time.

Join WhatsAppJoin Telegram

No spam. Just jobs and resources.

Why people use ASAI

Someone shared one job with you. ASAI keeps finding the rest.

  • Scored, not searched. Every role ranked against your actual profile.

  • Alerts as often as hourly. Reach new roles while the pile is still small.

  • Skill gaps, spelled out. See exactly which requirements you don't meet yet.

  • Verified jobs, only. Say no to ghost jobs. Your time deserves respect.

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