Joblaze summary

In this role, the Senior Software Engineer - Backend at Databricks focuses on developing and optimizing large-scale distributed systems to enhance the company's data and AI infrastructure. Key skills include proficiency in Java, Scala, or C++, along with experience in cloud technologies and service-oriented architectures. This position is ideal for seasoned engineers with a strong foundation in algorithms and a passion for delivering impactful customer solutions. Databricks is expanding its R&D presence in Vancouver, aiming to drive product innovation in the data and AI space.

Joblaze insights

Listed about 6 months ago — first seen on Joblaze April 14, 2026. Last confirmed on Databricks's careers page November 4, 2026.
This exact title is also open at 5 other locations at Databricks: Mountain View, California, Bellevue, Washington, San Francisco, California, Amsterdam, Netherlands, Bengaluru, India.
Starts above 40% of 35 comparable senior backend roles in Canada that list AWS we track (median $109,325 across 10 companies). See AWS salary trends
AWS appears in 44.7% of 76 comparable senior backend roles in Canada; Scala appears in 1.3% of 76 comparable senior backend roles in Canada.

Quick facts

Is the Senior Software Engineer - Backend role remote?: It's hybrid — Databricks expects some on-site time in Vancouver, Canada.
What's the salary range?: Databricks lists CAD 146,200–CAD 201,100 for this role.
How much experience is required?: At least 5 years of relevant experience for this Senior Software Engineer - Backend role.
Where is the role based?: Databricks is hiring for this position in Vancouver, Canada.
What's the tech stack?: Joblaze extracted these technologies from the posting: AWS, Azure, C++, Docker, GCP, Java.
What seniority level is this role?: Databricks targets senior candidates for this position.
Is this full-time or contract?: Full-time for this Senior Software Engineer - Backend role at Databricks.

From the original posting

P-1440

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.

The Impact You Will Have

Design, build, and operate scalable distributed systems that power the Databricks platform
Take ownership of complex technical projects from design through delivery and production operation
Drive technical decisions within your team and contribute to architectural direction
Identify and resolve performance bottlenecks and reliability issues proactively
Mentor engineers and elevate team engineering practices
Collaborate across teams to deliver high-impact features and improvements

What We Look For

5+ years of software engineering experience
Experience designing, building, and operating large-scale distributed systems in production environments
Experience with one or more programming languages including Java, Scala, C++, or Go
Strong understanding of data structures, algorithms, and system design principles
Experience with cloud technologies including AWS, Azure, GCP, Docker, or Kubernetes
Experience working on SaaS platforms or with service-oriented architectures
Experience with software security and systems that handle sensitive data
Strong communication skills and ability to work effectively across teams
B.S. in Computer Science, Engineering, or a related field, or equivalent practical experience

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

Benefits

Standard company text repeated across Databricks's postings is omitted here.

Senior Software Engineer - Backend

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