Senior Software Engineer - Data + AI Observability

Databricks
Bengaluru
Workplace: OnsiteFull timeFunction: Software EngineeringExperience: 6+ yearsSkills: ["Mentoring","Leadership","Cross-functional","Communication","Problem-solving"]

Senior Software Engineer on the Customer Foresight Team responsible for leading the development of observability-focused products, building data infrastructure that processes billions of entries daily, and enabling customers to optimize AI and data workloads across 65+ cloud regions. You’ll guide milestones, mentor engineers, and drive scalable, cost-efficient pipelines while integrating with broader data warehousing tools.

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FursaFursa
Databricks
Databricks
1 year ago

Senior Software Engineer - Data + AI Observability

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 12 hours agoStatus: Live

Job Summary

Senior Software Engineer on the Customer Foresight Team responsible for leading the development of observability-focused products, building data infrastructure that processes billions of entries daily, and enabling customers to optimize AI and data workloads across 65+ cloud regions. You’ll guide milestones, mentor engineers, and drive scalable, cost-efficient pipelines while integrating with broader data warehousing tools.
Location: Bengaluru
Workplace: Onsite
Employment Type: Full time
Job Function: Software Engineering
Seniority: Sr. Manager level

Key Responsibilities

  • •Lead the technical development of product milestones from requirements refinement through execution and operation, iterating with the product and partner teams to ensure success.
  • •Develop systems that provide a reliable and timely observability interface for customers to understand their Databricks environment.
  • •Enable frameworks teams across Databricks to publish their data to customers.
  • •Mentor other engineers toward contributing to the product and their career growth.
  • •Drive scalability and cost optimizations for large data pipelines, unlocking new product opportunities and improving customer outcomes.

Key Requirements

  • •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
Experience:6+ yearsDataAIObservabilityCloudDistributed systems
Skills:MentoringLeadershipCross-functionalCommunicationProblem-solving
Tech Stack:JavaScalaPythonC++AWSAzureGCPDockerKubernetes

Company Brief

Databricks
Provides a unified data analytics platform powered by Apache Spark to simplify building, deploying, and scaling data engineering, data science, and machine learning workloads for enterprises.
Industry: Data Infrastructure
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Scaleup
Valuation: Unicorn (USD 1B+)
Funding: Series E+
Headquarters: San Francisco, United States
Founded: 2013
WebsiteLinkedIn