Staff Software Engineer (Infrastructure)
Databricks
Bengaluru, IndiaPosted 1 month ago
Skill Required
Engineering - PipelineInfrastructure EngineerSoftware EngineerSoftware DeveloperSystem DesignMachine LearningGenerative AIrelated fieldDatabricksKubernetesObservabilitydesigningbuildingPythonC++ScalaSparkAzureUnityCloudJavaAWSAI
Key highlights
- 12+ years of production-level experience required
- 6+ years of large-scale distributed systems experience required
- Comprehensive benefits package
- BS (or higher) in Computer Science or related field required
Role overview
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 solve technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. Databricks Mosaic AI offers a unique data-centric approach to building enterprise-quality, Machine Learning and Generative AI solutions, enabling organizations to securely and cost-effectively own and host ML and Generative AI models, augmented or trained with their enterprise data. And we're only getting started in Bengaluru, India - and currently in the process of setting up 14 new teams from scratch!
Responsibilities
- Work across Backend (Infrastructure) domains
- Solve problems that span from product to infrastructure including: distributed systems, at-scale service architecture and monitoring, workflow orchestration, and developer experience
- Deliver reliable and high performance services and client libraries for storing and accessing humongous amount of data on cloud storage backends, e.g., AWS S3, Azure Blob Store
- Build reliable, scalable services, e.g. Scala, Kubernetes, and data pipelines, e.g. Apache Spark™, Databricks, to power the pricing infrastructure that serves millions of cluster-hours per day
- Develop product features that empower customers to easily view and control platform usage
Requirements
- BS (or higher) in Computer Science, or a related field
- 12+ years of production level experience in one of: Python, Java, Scala, C++, or similar language
- 6+ years experience developing large-scale distributed systems from scratch
- Experience working on a SaaS platform or with Service-Oriented Architectures
Nice to have
- Experience working on Infrastructure related projects
Benefits
- Comprehensive benefits and perks that meet the needs of all employees (region-specific details available via provided link)
Additional details
- 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
- 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
- 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