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Added 3 months ago
M
Senior Manager, Data Engineering
Moneris
Remote, Canada
- Full-time
- Remote
10+ years of progressive experience in Data Engineering and enterprise data platform delivery.
Added 4 months ago
TS
Sr. Software Developer - Hybrid/Secret Cleared
The Source Staffing
Ottawa, Ontario
- Full-time
Senior Software Developer - Hybrid/Secret Cleared 90-110k
Added 4 months ago
PG
Lead Full Stack Developer
Publicis Groupe Holdings B.V
Toronto, Ontario
- Full-time
Saatchi & Saatchi is seeking a Lead Full Stack Developer for an innovative AI platform initiative.You have 8+ years building production software systems and at least a few years leading or…
Added 2 months ago
CO
Staff Software Engineer - Capital One Travel Tech - Full-stack
Capital One
Toronto, Ontario
- Full-time
At least 6 years of hands-on development experience preferably using at least two or more of the following programming languages: JavaScript, Java, Angular/TypeScript, Python, Node.js,…
Added 4 months ago
C
Apps Development Sr Manager - Vice President
Citi
Remote, Canada
- Full-time
- Remote
6-10 years of relevant experience in Java & Microservices with commensurate people management experience.
Added 1 month ago
Senior Manager, Data Engineering
Scotiabank
Toronto, ON
10+ years of software development experience with clear progression through the ranks, and 3+ years leading and building high-performance teams
Added 2 months ago
CO
Staff Software Engineer - Capital One Travel - Android
Capital One
Toronto, Ontario
- Full-time
At least 6 years of hands-on development of Native Android applications using Java/Kotlin
Added 4 months ago
C
Java Full-stack Developer
Capgemini
Mississauga, Ontario
- Full-time
The candidate must have 10 years of overall IT experience with strong knowledge of the end to end project life cycle preferably in an Agile delivery model
Added 4 months ago
V
Sr. Infrastructure Engineer
VGS
Canada
- Full-time
Ownership at Scale: 5+ years of experience contributing to complex, large-scale distributed systems within mission-critical environments.
Added 4 months ago
C++ Developer
Glint Tech Solutions LLC
Toronto, Ontario
Glint Tech Solutions is hiring a C++ Developer for Toronto, Canada!
Added 2 months ago
Sr Staff Software Engineer
Kaseya Careers
Toronto, ON
Extensive Java Expertise: 7+ years of hands-on experience in Java development, including J2EE, Spring, and Hibernate
Added 6 months ago
UM
Senior Backend Engineer
US Mobile
Toronto, Ontario
- Full-time
7+ years of experience with Java and Spring Boot
Added 5 months ago
Principal Architect, Software Engineering
Credera Experienced Hiring Job Board
Quinte West, Ontario
You have experience with one or more of the following programming languages: Java, .NET, Rust, client- and server-side JavaScript/TypeScript (React, Angular, Node.js), and Python
Added 2 months ago
Senior Staff Backline Engineer - Data & AI
Databricks
Vancouver, BC
We are looking for customer-obsessed candidates with 10+ years of relevant experience, including deep expertise in one of the following three specialized tracks, along with proven…
Added 5 months ago
CO
Senior Distinguished Engineer- International Card Tech
Capital One
Toronto, Ontario
- Full-time
10+ years of experience in coding with commonly used languages like Java, Python, Go, JavaScript/TypeScript, Swift
Added 5 months ago
Architect, Software Engineering
Credera Experienced Hiring Job Board
Quinte West, Ontario
…model solutions against business requirements, and serve as the senior technical voice in client communications. You guide teams (typically 2 to 8) building software and cloud solutions…
Added 1 month ago
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Developpeur SAP ABAP en chef | Lead SAP ABAP Dev
RTX
Longueuil, QC
- Full-time
Diplôme universitaire avec un minimum de 10 ans d’expérience en tant que développeur senior, avec des connaissances dans les activités SAP Basis et SAP Security.
Added 2 months ago
FG
Lead Software Engineer, Full-Stack Applications - Ratings Technology
Fitch Group
Toronto, ON
- $160,000 to $200,000 CAD / year
Deep full-stack engineering expertise – 10+ years of hands-on experience building enterprise applications, with expert-level proficiency in Java/Springboot, C#/.NET, Python and REACT, and…

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Databricks

Senior Staff Backline Engineer - Data & AI

Vancouver, BC, Canada

$170.40 - $255.60 USD

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Job details

Pay: $170.40 - $255.60 USD
Posting language: English
Posted: Aug 11, 2026

Original job description

P-1381

At Databricks, we are passionate about enabling Data & AI 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, we leap at every opportunity to tackle technical challenges, from designing next-gen UI/UX for data interaction to scaling our services and infrastructure across millions of virtual machines. And we're only getting started.

About the Team:

The Backline Engineering Team serves as the critical bridge between Frontline Support and Engineering. We handle complex technical issues and escalations across the Data and AI ecosystem. With a strong focus on customer success, we are committed to delivering exceptional customer satisfaction by providing deep technical expertise, proactive issue resolution, and continuous platform improvements. We emphasise automation and tooling to enhance troubleshooting efficiency, reduce manual efforts, and improve the overall supportability of the platform and the health of our products. By developing smart solutions and streamlining workflows, we drive operational excellence and ensure a delightful experience for both customers and internal teams.

What your impact will be:

Deep Dive Troubleshooting: Conduct deep-dive forensics into Spark core internals and the broader Databricks Data and AI ecosystem to resolve high-priority architectural failures and complex system anomalies.
Root Cause Analysis: Perform advanced code-level analysis and resource profiling to identify and mitigate systemic root causes, ensuring the stability and reliability of high-scale production workloads.
Architectural Optimization: Optimise architectural performance across the Data and AI stack by refining execution parameters and enforcing best practice strategies to maximise resource efficiency and throughput.
Product Improvements: Analyse global issue trends and patterns to partner directly with Product Engineering, influencing the product roadmap and driving initiatives that enhance long-term supportability.
Scalability & Tooling: Develop reproduction frameworks, automated workflows, and AI-driven diagnostic tools that translate complex backline findings into standardised resolution paths to empower and scale the broader organisation.

What we look for:

We are looking for customer-obsessed candidates with 10+ years of relevant experience, including deep expertise in one of the following three specialized tracks, along with proven experience in managing both customers and technical stakeholders. Since each track calls for a different set of technical capabilities, we’re looking for excellence in one area rather than proficiency in all:

Data Engineering Track: Expertise in large-scale big data solutions and ETL pipelines using Spark, Delta Lake, or Hive. Strong experience troubleshooting failures, diagnosing performance issues, and identifying root causes. Demonstrated problem-solving ability and understanding of data engineering best practices to ensure reliable, efficient workflows. Solid hands-on programming skills in Python, SQL, or Scala.
Product Supportability Track: Deep understanding of distributed system internals. Ability to perform code-level root-cause analysis and profiling (using metrics and heap/thread dumps) in Java, Scala, or Python. Proven record of contributing to bug fixes and mentoring other engineers.
AI Track: Experience with large-scale machine learning and generative AI systems, including LLM-based applications and agent-driven workflows. Strong grasp of model training, evaluation, and deployment in distributed environments. Experience managing the ML lifecycle, including governance and operationalisation. Skilled in diagnosing and optimising distributed ML workloads for performance and scalability.

Pay Range Transparency

Databricks is committed to fair and equitable compensation practices. The pay range(s) 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 anticipates 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. For more information regarding which range your location is in visit our page here.

Local Pay Range

$170.40 - $255.60 USD

About Databricks

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. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram.

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.

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More about this job

Responsibilities

The role involves deep-dive forensics into Spark core internals and the broader Data & AI ecosystem to resolve high-priority architectural failures and complex system anomalies through advanced code-level analysis. Responsibilities also include optimizing architectural performance, partnering with Engineering on product improvements based on global issue trends, and developing automated tooling to scale resolution paths.

Requirements

Candidates must have 10+ years of relevant experience and deep expertise in one of three tracks: Data Engineering (Spark/Delta Lake/ETL), Product Supportability (distributed systems internals/code-level analysis), or AI (large-scale ML/Generative AI systems). Proven experience managing both customers and technical stakeholders is required.

Skills

Spark
Delta Lake
Hive
Python
SQL
Scala
Java
Distributed System Internals
Code-Level Root-Cause Analysis
Profiling
Machine Learning
Generative AI
LLM-Based Applications
ML Lifecycle Management
Troubleshooting
Performance Optimization

Visa sponsorship

Not detected in the job text

Keywords

Data
AI
Backline Engineering
Support
Escalations
Customer Success
Automation
Tooling
Spark
Delta Lake
Hive
ETL Pipelines
Python
SQL
Scala
Java
Distributed Systems
Profiling
Machine Learning
Generative AI
LLM
MLOps
Performance Tuning
Root Cause Analysis
Architecture Optimization
Data Intelligence Platform

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