Senior Software Engineer - Backend

Databricks

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Vancouver, Canada First seen 3 weeks ago Last seen 5 hours, 24 minutes ago Greenhouse

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Job Description

AI Summary

• Build and scale backend infrastructure for Databricks' data and AI platform, contributing to one of four strategic product areas: Log Analytics, AI/BI, Unity Catalog Business Semantics, or Databricks Apps • Required: BS in Computer Science or equivalent experience, 5+ years of production-level experience with Java, Scala, or C++, and strong algorithmic/data structures foundation • Work on petabyte-scale data processing challenges including ingestion, indexing, and real-time analytics, plus emerging areas like AI agents and distributed systems governance • Join Databricks' new Vancouver R&D center as a key driver of product innovation with exposure to low-level platform components and multi-year technical vision • Customer-obsessed culture focused on delivering impact; opportunity to solve complex technical challenges across the entire data and AI stack

P-1440

Databricks is on a mission to simplify and democratize data and AI — 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. And we're only getting started.

Vancouver will be the newest R&D center for Databricks, expanding our presence in the Pacific Northwest. We are actively hiring world-class engineers to join us on our mission to democratize data + AI.

We envision the Vancouver site becoming a key driver of product innovation at Databricks. To start, we’re bringing a few strategic areas to the Vancouver site and we have several open roles across the teams below, including:

Log Analytics - Our customers increasingly use Databricks to analyze petabyte-scale logs in real time. This creates new challenges across the entire data processing pipeline, including ingestion, indexing, processing, and the user experience itself.
AI/BI - AI/BI is redefining Business Intelligence for the AI age. We launched this product last summer and have already seen tremendous adoption (98.7% of our data warehousing customers are already using AI/BI!). From rich dashboarding and advanced visualizations to powerful talk-to-your-data solutions, the products we are building involve exciting technical challenges across the entire stack.
Unity Catalog Business Semantics - Context is everything for AI. For enterprise data, that context needs to be governed and managed, which is what Unity Catalog Business Semantics offers. We recently launched our first Semantics modelling capability, Unity Catalog Metrics, this past Data + AI Summit but we have a lot more in store. Engineers on this team work at the intersection of large scale distributed systems, data modeling, governance, and AI enablement.
Databricks Apps - Databricks Apps is one of the fastest growing products at Databricks, used by more than 2,500 customers who have created more than 20,000 apps — and it was only GA’ed this past June. The Apps team is one of the few teams that are exposed to low-level platform components (k8s, networking), owns fundamental tech (apps runtime and proxy), and is heavily investing in app builder AI agents.

What we look for:

BS (or higher) in Computer Science, related technical field or equivalent practical experience.
Comfortable working towards a multi-year vision with incremental deliverables.
Motivated by delivering customer value and impact.
5+ years of production level experience in either Java, Scala or C++.
Strong foundation in algorithms and data structures and their real-world use cases.
Experience developing large-scale distributed systems.
Experience working on a SaaS platform or with Service-Oriented Architectures.
Experience with cloud technologies, e.g. AWS, Azure, GCP, Docker, or Kubernetes.
Experience with security and systems that handle sensitive data.
Good knowledge of SQL.

Pay Range Transparency

Databricks is committed to fair and equitable compensation practices. The pay range for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticpates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above.

Canada Pay Range

$146,200—$201,100 CAD

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, please visit https://www.mybenefitsnow.com/databricks.

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.

Skills

go sql kubernetes aws docker java

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Job Information

Company:
Databricks
Location:
Vancouver, Canada
Job Type:
Full-Time
Experience Level:
Senior
Source:
Greenhouse
Status:
Active

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66 /100

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