Senior Staff Software Engineer (backend)

Databricks Databricks · Data AI · Bangalore, India · Executive Engineering - Pipeline

Senior Staff Software Engineer role at Databricks focused on building and operating a large-scale data and AI infrastructure platform for enterprises. The role involves full ownership of product or infrastructure direction, driving development from initial stages to scalable solutions with clear business impact. Responsibilities include solving real business needs, delivering highly scalable and fault-tolerant engines, low-level systems debugging, performance optimization, architecture design, influencing product roadmaps, and leading complex technical projects. Requires deep expertise in large-scale distributed systems and mentoring senior engineers.

What you'd actually do

  1. Solve real business needs at large scale by applying your software engineering.
  2. Deliver a highly scalable, available, and fault-tolerant engine processing hundreds of TB of data daily across thousands of customers
  3. Low level systems debugging, performance measurement & optimization on large production clusters.
  4. Build architecture design, influence product roadmap, and take ownership and responsibility over new projects
  5. Use your deep experience to help prevent and investigate production issues.

Skills

Required

  • 15+ years industry experience building and supporting large-scale distributed systems
  • Strong foundation in algorithms and data structures and their real-world use cases

Nice to have

  • Mentoring senior engineers
  • Contribute to recruiting
  • Lead high-impact company projects
  • Comfortable working towards a multi-year vision with incremental deliverables
  • Motivated by delivering customer value and impact
  • Experience driving company initiatives towards customer satisfaction
  • Technical Team Lead experience
  • Sprint planning
  • Delegating work and assignments
  • Project planning

What the JD emphasized

  • full ownership of the product or infrastructure direction
  • large-scale distributed systems
  • deep expertise in large-scale distributed systems