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Added 2 months ago
Staff Back End Engineer (Applications)
Forma.ai
Toronto, ON
Expertise in at least one production-grade backend language (e.g., Python, Java, Kotlin, Go, C#, etc.).
Added 2 months ago
Senior Staff Backline Engineer - Data & AI
Databricks
Vancouver, BC
…reliable, efficient workflows. Solid hands-on programming skills in Python, SQL, or…
Added 1 month ago
Principal Digital (mixed-signal) Architect
Lightmatter
Toronto, ON
Power user of multiple development tools, including CAD tools, SPICE simulators, IBIS-AMI simulators, and general programming languages (e.g., MATLAB or Python).
Added 4 months ago
B
AI Scientist & Engineer, Assurance Innovation Lab
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Calgary, Alberta · Edmonton, Alberta · Halifax, Nova Scotia
- Full-time
Programming Languages: Expert-level Python is required. Professional proficiency in R, Scala, Java, or TypeScript is highly desirable
Added 6 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
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…client digital products, platform engineering and internal developer platforms, AI-native and agentic systems, and modernization of legacy estates. You set the technical direction, raise…
Added 6 months ago
T
AI Architect I
TextLayer
Remote, Canada
- $215,000 to $250,000 CAD / year
- Full-time
- Remote
Architect and maintain Python-based services using FastAPI for internal and customer-facing AI use cases
Added 1 month ago
S
Staff Software Engineer, App Runtime
Snowflake
Toronto, ON
- Full-time
Proficiency in programming languages, such as Java, Python, TypeScript or Go (strong in backend and familiar with modern web stacks like Node.js), applied in distributed environments where…
Added 1 month ago
CD
Software Engineer (Circuit Analysis, EDA frameworks, AI agents)
Cadence Design Systems
Vancouver, BC
- Full-time
Added 1 month ago
Staff Software Engineer, Web3
Robinhood
Toronto, ON
Improve developer practices and lead the adoption of the latest AI tooling to maximize engineering output
Added 2 months ago
EM
Embedded Software Engineer
Evertz Microsystems Limited
Burlington, ON
- $60,000 to $90,000 CAD / year
- Full-time
C++, C, Python programming and debugging skills
Added 5 months ago
TA
GenAI Data Engineer
Tiger Analytics Inc.
Remote, Canada
- Full-time
- Remote
Tune complex SQL queries and Python-based processing jobs to handle petabyte-scale environments efficiently.
Added 4 months ago
Senior ML Research Scientist
LawZero
Montreal, Quebec
Strong experience in Python software development, in the use of version control, collaboration tools, and experiment management and tracking tools.
Added 4 months ago
M
Sr. Manager, Retention Analytics
McAfee
Waterloo, Ontario
- Full-time
Data & coding fluency: A self-starter who isn’t afraid to get hands dirty - comfortable using SQL, Python, and generative AI tools as needed to access data and deliver analysis, even if not…
Added 5 months ago
I
Senior Marketing Analyst
Improvado
Remote, Canada
- Full-time
- Remote
Python or other scripting language for data analysis and automation.
Added 2 months ago
C
Software Engineer Intern
Cresta
Toronto, Ontario
- $30 to $50 CAD / hour
Experience with one or more programming languages (e.g., Python, Go, Java, JavaScript, TypeScript)
Added 3 months ago
Senior Security Operations Engineer
Brex
Vancouver, British Columbia
While not primarily a development role, the team develops and maintains tools written in Go and Python, so experience with coding is required
Added 2 months ago
Principal Data Scientist (m/f/d)
AutoTrader.ca
Toronto, ON
Expert-level programming skills in Python and SQL, and fluency with leading ML/AI frameworks (e.g., scikit-learn, TensorFlow, PyTorch)
Added 4 months ago
N
Applied AI Engineer
Nexxa.AI
Remote, Canada
- Full-time
- Remote
Strong proficiency in Python, JavaScript/TypeScript, Go, or similar production-oriented languages.
Added 2 months ago
FG
Lead Software Engineer, Full-Stack Applications - Ratings Technology
Fitch Group
Toronto, ON
- $160,000 to $200,000 CAD / year
…scalable full-stack applications using Java/Springboot, C#/.NET, Python and REACT, drive architectural decisions, establish technical standards, and lead exploration of AI/ML integration…
Added 1 month ago
PC
Salesforce Technical Manager
Pwc Canada
Vancouver, BC · Toronto, ON
- Full-time
One or more Salesforce Developer certifications: Platform Developer I & II, Application Architect, System Architect, or Technical Architect
Added 2 months ago
PC
Financial Crimes Technology Manager
Pwc Canada
Toronto, ON
- Full-time
Strong SQL T-SQL, Oracle PL/SQL, Python, R, and database technologies
Added 4 months ago
TR
Senior Software Engineer - AI (Materia AI)
Thomson Reuters
Remote, Canada
- Full-time
- Remote
Design and build backend services using Python, FastAPI, and PostgreSQL to support real‑time AI interactions and large‑scale data flows.
Added 3 months ago
P
Salesforce Technical Manager
PwC
Vancouver, British Columbia · Toronto, Ontario
- Full-time
One or more Salesforce Developer certifications: Platform Developer I & II, Application Architect, System Architect, or Technical Architect
Added 2 months ago
S
Principal NPI Test Engineer
Semtech
Burlington, ON · CAN - Burlington, ON
- Full-time
Advanced programming skills in C/C++, Python, and TCL

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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