Staff Software Engineer (Infrastructure)
Skills & Technologies
Requirements
- Experience
- 12+ years
- Education
- Bachelor's degree
Joblaze summary
In the role of Staff Software Engineer at Databricks, the individual will focus on developing and maintaining backend infrastructure that supports large-scale distributed systems and enhances developer experience. Key skills include proficiency in languages like Python, Java, or Scala, along with extensive experience in building SaaS platforms and service-oriented architectures. This position is ideal for seasoned engineers with over a decade of experience in production environments, particularly those with a background in infrastructure projects. Databricks is in a growth phase, establishing new teams in Bengaluru, which presents a unique opportunity to shape the company's future.
Joblaze insights
- Listed about a month ago on Joblaze — tracked directly from Databricks's career page.
- Databricks has 788 other open roles including Solutions Architect Greenfield (New Logo) Start Ups France, Sr. Solutions Engineer - AI Natives Business, Senior Solutions Architect.
- 2358 active Python roles on Joblaze right now.
- 1056 active Kubernetes roles on Joblaze right now.
- 742 active Java roles on Joblaze right now.
Quick facts
- How much experience is required?
- At least 12 years of relevant experience for this Staff Software Engineer (Infrastructure) role.
- What's the tech stack?
- Joblaze extracted these technologies from the posting: C++, Java, Databricks, Apache Spark, Python, Kubernetes.
- What seniority level is this role?
- Databricks targets staff-level candidates for this position.
- Is this full-time or contract?
- Full-time for this Staff Software Engineer (Infrastructure) role at Databricks.
From the original posting
P-1346
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 !
As a Staff Software Engineer at Databricks India, you can get to work across :
- Backend (Infrastructure)
The impact you'll have:
Our Infrastructure Backend teams span many domains across our essential service platforms. For instance, you might work on challenges such as:
- 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 and develop product features that empower customers to easily view and control platform usage.
What we look for:
- 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
- Experience working on Infrastructure related projects is a plus
About Databricks
Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.
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.