Staff Software Engineer - Backend
Requirements
- Experience
- 8+ years
- Education
- Bachelor's degree
Joblaze summary
In this role at Databricks, the Staff Software Engineer will engage in the full development cycle, tackling challenges related to distributed systems and service architecture. Proficiency in languages like Java or Scala, along with experience in large-scale SaaS platforms, is essential for success. This position is ideal for seasoned engineers with a strong background in building reliable, high-performance services. As a founding member of the London site, the engineer will play a pivotal role in shaping the company's Lakehouse vision.
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.
- 1036 active SQL roles on Joblaze right now.
- 742 active Java roles on Joblaze right now.
- 658 active C++ roles on Joblaze right now.
Quick facts
- How much experience is required?
- At least 8 years of relevant experience for this Staff Software Engineer - Backend role.
- What's the tech stack?
- Joblaze extracted these technologies from the posting: C++, Java, GCS, AWS S3, Azure Blob Store, SQL.
- 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 - Backend role at Databricks.
From the original posting
P-1514
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 tackle technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started.
Founded by engineers, Databricks has started a multi-year journey to build the best Lakehouse Platform. For this we are building on top of a great foundation but our goal is to go further to build dramatically better products. We want to revisit every component to provide our customers with the fastest, easiest to use and most secure data platform for all their data workloads.
Lakebase enables teams to deliver applications faster with an optimized database developer experience, integration with the lakehouse, and simplified operations. It provides a managed Postgres transactional layer for application state and workloads that combine operational data, analytics, and AI. You'll join as one of the founding engineers to build out both the Lakebase product and our London presence.
The impact you will have:
Our 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.
- Build reliable, secure and high performance services and client libraries for storing and accessing humongous amount of data on cloud storage backends, e.g., AWS S3, GCS, Azure Blob Store.
- Develop product features that empower our customers to easily store and access their data.
- Solve reliability problems related to Lakebase.
- Actively find causes of downtime and systematically improve or remove root causes.
- Help the org define SLIs, meet SLOs, and drive long-term reliability improvements.
What we look for:
- BS degree (or higher) in Computer Science, or a related field.
- 8+ years of production level experience in one of: Java, Scala, C++, or similar language.
- Experience developing large-scale distributed systems.
- Experience working on a SaaS platform or with Service-Oriented Architectures.
- Knowledge of SQL.
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.