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Added 3 months ago
C
Software Engineer, North for Finance
Cohere
Remote, Canada
- Full-time
- Remote
You have experience in full-stack product engineering
Added 1 month ago
Senior Staff Machine Learning Engineer, Menu Personalisation
HelloFresh
Toronto, ON
…across 3 continents. So, how did we do it? Our weekly boxes full of exciting recipes and fresh ingredients have blossomed into a community of customers looking for delicious, healthy and…
Added 4 months ago
B
Applied AI Engineer
Bounteous
Montreal, Quebec
- Full-time
…production-focused role - not research or prototyping. We are looking for senior, hands-on full-stack engineers who have designed, built, and operated GenAI systems in production, and who…
Added 23 days ago
Senior Software Engineer - Content Platforms Engineering
Tubi - Canada
Toronto, ON
…creator, and increasingly, the AI agent. The work spans the full stack of a modern content platform: distributed services, video infrastructure, workflow automation, and applied AI, all…
Added 4 months ago
Senior Data Platform Engineer
Helcim Inc
Calgary, Alberta
Helcim is searching for a Senior Data Platform Engineer to help lead the design, development, and ongoing evolution of the data platform that powers Helcim’s mission to become the world’s…
Added 4 months ago
S
Senior Machine Learning Engineer, AI Generation Engine
SandboxAQ
Remote, Canada
- $119,000 to $210,000 CAD / year
- Full-time
- Remote
SandboxAQ's AI Generation Engine (SAIGE) team is seeking a highly accomplished Machine Learning Engineer to take ownership of the end-to-end ML lifecycle, from initial data exploration and…
Added 4 months ago
E
Senior Software Engineer, Builders
EvenUp
Remote, Canada
- Full-time
- Remote
As a Senior Software Engineer on our Builders, you'll be the person EvenUp turns to when something critical breaks for a customer and the clock is ticking. This team reports directly to the…
Added 4 months ago
A
Intermediate Software Engineer
AltaML
Calgary, AB · Edmonton, AB · Toronto, ON
- Full-time
The Intermediate Software Engineer independently owns and delivers well-defined, small-to-medium complexity user stories end to end. You work AI-first by default - using Claude Code and…
Added 4 months ago
GE
Senior Data Engineer
GFL Environmental Inc.
Vaughan, Ontario
- Other
Our GFL team is expanding, and we are seeking a highly skilled Senior Data Engineer with experience in designing and maintaining real-time data streaming pipelines and building robust data…
Added 1 month ago
Senior Software Engineer, R&D Business Systems
Fivetran
Toronto, ON
We’re looking for a Senior Software Engineer within our Engineering Strategy and Operations group. Our Research and Development (R&D) department is dedicated to accelerating innovation.…
Added 5 months ago
HM
Senior Backend Engineer (.NET & AI/ML)
HW Management Inc
Vancouver, British Columbia · Toronto, Ontario · Alberta
- $110,000 to $130,000 CAD / year
- Full-time
We are hiring a Senior Backend Engineer with strong .NET and AI/ML expertise to design and build scalable, high-performance backend systems and AI-powered features for NewHomeSource.com and…
Added 5 months ago
A
Senior Software Engineer, Analytics and Reporting Solutions ⭐
Achievers
Toronto, ON
- Full-time
…intelligent services that redefine how work gets done. Our tech stack leverages microservices built with Python and Go, running on GCP and Kubernetes. We're creating smoother, smarter, and…
Added 24 days ago
Sr. Data Scientist, Programmatic Algorithms
impact.com
Vancouver, BC
We're seeking a Senior Data Scientist to serve as an embedded Data Scientist within our Programmatic Experience Group. You'll own the design and deployment of machine learning models that…
Added 24 days ago
Sr. Data Scientist, Programmatic Algorithms
impact.com
Vancouver, BC
We're seeking a Senior Data Scientist to serve as an embedded Data Scientist within our Programmatic Experience Group. You'll own the design and deployment of machine learning models that…
Added 5 months ago
CM
Founding Engineers
Career Mentors, LLC
Remote, Canada
- $150,000 to $450,000 USD / year
- Contract
- Remote
Roles: Founding Engineer, Full Stack, Backend, Staff/Lead, SRE/Infra
Added 5 months ago
HT
Senior Engineer-Cloud AI Infrastructure
Huawei Technologies Canada Co., Ltd.
Markham, Ontario
- Full-time
Huawei Canada has an immediate permanent opening for a Senior Engineer.
Added 5 months ago
A
Senior Software Engineer
AltaML
Calgary, AB · Edmonton, AB · Toronto, ON
- Full-time
The Senior Software Engineer leads implementation of complex features and epics, owns technical design end to end, and multiplies the pod's output - both by mentoring other engineers and by…
Added 1 month ago
FI
Principal Software Engineer
Fulfillment IQ
Remote, Canada
- Full-time
- Remote
Prior founding engineer or early platform team roles
Added 1 month ago
Senior Software Engineer
Evismart
Vancouver, BC
…Direct answer: you own the architecture. There's no Principal Engineer above you on this product. You'll make the calls, you'll defend them, and you'll live with the outcomes. We give you a…
Added 1 month ago
Senior Staff Backline Engineer - Data & AI
Databricks
Vancouver, BC
Architectural Optimization: Optimise architectural performance across the Data and AI stack by refining execution parameters and enforcing best practice strategies to maximise resource…
Added 4 months ago
T
AI Architect I
TextLayer
Remote, Canada
- $215,000 to $250,000 CAD / year
- Full-time
- Remote
You’ll need a deep full-stack development expertise, a strong understanding of modern architecture patterns, and a bias toward building modular, maintainable systems.
Added 3 months ago
N
Applied AI Engineer
Nexxa.AI
Remote, Canada
- Full-time
- Remote
A customer-obsessed senior engineer who thrives in deeply technical, fast-moving environments.
Added 1 month ago
FG
Lead Software Engineer, Full-Stack Applications - Ratings Technology
Fitch Group
Toronto, ON
- $160,000 to $200,000 CAD / year
Lead Software Engineer, Full-Stack Applications – Ratings Technology

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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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