Staff Software Engineer - Multi Cloud Efficiency
Databricks23 days ago
Bengaluru, IndiaStaff+
Responsibilities
- Architect and implement large-scale systems for cloud-spend optimization, including reserved-instance automation, cost attribution, waste cleanup, and cross-cloud resource governance.
- Define the technical strategy and roadmap for the Multi Cloud Efficiency pillar and lead design reviews and risk assessments.
- Build systems for performance regression detection, automated resource rightsizing, efficiency measurement, and release gating.
- Investigate complex system-wide performance issues and improve the stability and reliability of internal platform tools.
- Lead cross-functional efficiency initiatives with finance and cost teams.
- Mentor engineers, raise engineering quality standards, and drive engineering culture.
- Design AI-driven automation and autonomous remediation for continuous cost governance.
Requirements
- 9+ years of experience building production-grade distributed systems.
- Production experience with Java, Scala, C++, or Go.
- Experience architecting large-scale infrastructure, cloud computing systems, and container orchestration using AWS, Azure, or GCP and Kubernetes or Docker.
- Deep expertise identifying and solving performance bottlenecks in high-throughput distributed environments.
- Ability to define technical requirements and direction for ambiguous, complex problems.
- Broad engineering knowledge across distributed systems, cloud infrastructure, monitoring, and software lifecycles.
Benefits
- Comprehensive benefits and perks are offered, with region-specific details available for employees in Bengaluru, India.
Tech Stack
About Databricks
Databricks builds a cloud-based data and AI platform centered on the lakehouse architecture, combining data engineering, analytics, and machine learning with Apache Spark, Delta Lake, and MLflow. It sells subscriptions and cloud services to enterprises that need to unify data pipelines and develop large-scale AI and analytics. Founded in 2013 by the creators of Apache Spark and headquartered in San Francisco, the company is privately held and serves organizations across many industries.