Jobs in Canada

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Added 3 months ago
GS
Software Engineer (Python) - PricingCenter
Guidewire Software
Mississauga, ON
- Full-time
In this role, you will be a product‑focused Python engineer who owns features end‑to‑end - from exploring requirements through to production reliability. You’ll help shape new pricing and…
Added 3 months ago
C
Senior Auditor
CPKC
Calgary, AB
- Full-time
Perform data analytics to enhance audit coverage and efficiency and identify value-add insights for management
Added 3 months ago
LI
Software Engineer
LanceSoft, Inc.
Montreal, QC
- Contract
The position requires an experienced Power Platform engineer to develop solutions for customers and to create self-service tools. The role demands expertise in both development and…
Added 3 months ago
U
Senior Full Stack Engineer
UST
Toronto, ON
- Full-time
UST is searching for a Senior Full Stack Engineer with strong Front End expertise to help build and scale high‑impact digital platforms used by millions of users. This is an opportunity to…
Added 3 months ago
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AI Inference Engineer
Baseten
Montreal, QC
- $165,000 to $330,000 CAD / year
- Full-time
As a Forward Deployed Engineer at Baseten, you will partner directly with customers to architect, build, and deploy high-scale production AI applications on Baseten’s platform. You’ll own…
Added 3 months ago
BM
Microsoft Power Platform Engineer - Canada Only
Blue Mantis
Toronto, ON
- Full-time
The Power Platform Engineer is accountable for designing, implementing, and supporting Blue Mantis’ Power Platform solutions to enable scalable, secure, and enterprise-grade automation and…
Added 3 months ago
M
Sr. Cloud Platform Specialist
McKesson
Mississauga, ON
- Full-time
Applies AI-driven observability and analytics to detect anomalies, forecast capacity, and drive continuous improvement.
Added 3 months ago
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Directeur ou directrice principal(e) de produit, IA conversationnelle// Principal Product Manager- Conversational AI
Hopper
Remote, Canada
- Full-time
- Remote
Added 3 months ago
H
Principal Product Manager- Conversational AI
Hopper
Remote, Canada
- $200,000 to $250,000 CAD / year
- Full-time
- Remote
The ability to write enough code to get a prototype working without waiting on an engineer, treating AI tools as a normal part of how they build
Added 2 months ago
S
Software Engineer II - Agentic AI Foundations
Socure
Toronto, ON
- $135,000 to $175,000 CAD / year
- Full-time
…software workflows to agent-native operations. As a Software Engineer II on the team, you will help design, build, and harden a secure, evaluable, vendor-agnostic agent platform that teams…
Added 2 months ago
NI
Production Engineer
NORSAT INTERNATIONAL INC
Richmond, BC
- $40,000 CAD / year
- Full-time
Applicants must hold either a Canadian citizenship, Canadian Permanent Residency, or Work/ Study Permit
Added 2 months ago
NI
Quality Engineer
NORSAT INTERNATIONAL INC
Richmond, BC
- $40,000 to $50,000 CAD / year
- Full-time
Applicants must hold either a Canadian citizenship, Canadian Permanent Residency, or Work/ Study Permit
Added 2 months ago
NI
Production Engineer
NORSAT INTERNATIONAL INC
Richmond, BC
- $40,000 to $50,000 CAD / year
- Full-time
Applicants must hold either a Canadian citizenship, Canadian Permanent Residency, or Work/ Study Permit
Added 3 months ago
PF
AI Engineer
PureFacts Financial Solutions
Toronto, ON
- $100,000 to $120,000 CAD / year
The AI Engineer (LLM/Agent) will own the conversational layer that describes Purefacts’ ML model outputs to end users, develop a “Revenue Assistant” Agent from R&D through to prototype, and…
Added 2 months ago
A
IT Project Manager
AtkinsRéalis
Toronto, ON · Montreal, QC · Quebec, QC
- Full-time
…integrations between, systems and applications, Reporting and analytics tools, procurement applications implementation , other corporate…
Added 3 months ago
S
Senior/Staff Software Engineer
Senpilot
Toronto, ON
- Full-time
We're looking for a senior engineer to build and own AI-powered product features end to end, from schema and API design through to shipping in production and iterating on real usage. You’ll…
Added 3 months ago
SI
Sr. Staff AI Full Stack Engineer
Synopsys Inc
Mississauga, ON
- Full-time
You are a passionate engineer who thrives in fast-paced, innovative environments. You have a deep understanding of software engineering principles and a strong command of Python, with the…
Added 3 months ago
LI
Platform Engineer
LanceSoft, Inc.
Montreal, QC
- Contract
Description: We are seeking an experienced and motivated engineer to join the Observability fleet which focuses on delivering tools in private and public cloud environments. The role…
Added 3 months ago
A
Junior Product Manager
Ampliwork
Montreal, QC
- Volunteer
Can prototype. You build working things in days using modern AI tools, even if you're not yet a production-grade engineer.
Added 3 months ago
F
Senior Back End Engineer (Data Platform)
Forma.ai
Toronto, ON
- Full-time
As a Senior Engineer, Data Platform, you are expected to operate with strong ownership and sound technical judgment. This includes identifying risks in the work you own, surfacing edge…
Added 3 months ago
C
Senior Product Manager
Checkfront
Remote, Canada
- Full-time
- Remote
You do not need to be a front-end engineer, and you won't be expected to write production code. But strong technical fluency is a real advantage - enough to collaborate deeply with…
Added 3 months ago
AW
Analyste, Soutien à la production - Production Support Analyst
AJ Walter Aviation
Montreal, QC
- Full-time
Added 3 months ago
TA
Senior/Staff Applied AI Engineer
Tali AI
Toronto, ON
- Full-time
You raise the people around you. Your review makes the next engineer's system better.
Added 2 months ago
Senior Product Manager
Evismart
Vancouver, BC
You have been accountable for whether code ships. You were an engineer before you were a PM, or you've had engineers report to you, or you still write code as part of your job.
Added 3 months ago
EA
Senior Software Engineer (.Net)
Electronic Arts (EA)
Vancouver, BC
- Full-time
The role is Hybrid in Vancouver (3 days in office)

Forma.ai

Senior Back End Engineer (Data Platform)

Toronto, ON, Canada

Salary Range: 150-190K CAD · Full-time

Apply on LinkedIn About employer

Applications open in a new tab.

Job details

Pay: Salary Range: 150-190K CAD
Job type: Full-time
Apply by: Dec 22, 2026
Posting language: English
Posted: Aug 1, 2026

Original job description

About Forma.ai:

Forma.ai is a Series B startup that's revolutionizing how sales compensation is designed, managed and optimized. We handle billions in annual managed commissions for market leaders like Edmentum, Stryker, and Autodesk.

Our growth has been fuelled by our passion for fundamentally changing and shaping how companies use sales intelligence to drive business strategy.

We’re welcoming equally driven individuals who are excited about creating something big!

About the Team

Engineers on this team build our rules-based calculation engine for processing sales commissions. This might sound simple if you have never been exposed to sales compensation plans, it is not.

We are low on meetings and high on accountability. Most of the team is in the EST time zone, with a few located in PST and Central as well. We are still evolving many areas of the platform, which means there is meaningful room to improve the design, reliability, and scalability of the systems we build.

What you’ll be doing

Reporting to the Manager of Data Platform, you will play an important role in the evolution of our Spark-based data platform. You’ll design and build data-rich platform capabilities, contribute to system design discussions, and help ensure our data systems remain reliable, maintainable, and scalable as Forma grows.

As a Senior Engineer, Data Platform, you are expected to operate with strong ownership and sound technical judgment. This includes identifying risks in the work you own, surfacing edge cases, asking thoughtful questions, and proposing improvements that strengthen the quality and reliability of the platform.

You will:

Design, build, and improve Spark-based data pipelines and platform services.
Work with complex data models representing sales compensation plans, hierarchies, relationships, and enterprise datasets.
Build reliable, deterministic data systems that customers and internal teams can trust.
Improve testing, observability, data quality, and production reliability across the systems you work on.
Partner with Product, Engineering, and Analytics to translate complex business requirements into scalable data designs.
Participate in design reviews, code reviews, technical discussions, and knowledge sharing.
Use AI tooling to improve delivery speed while maintaining strong engineering standards.

What we’re looking for

Strong experience building data systems or backend systems in production.
Experience with Spark or similar data processing / ETL frameworks.
Proficiency in at least one production-grade language such as Python, Java, Scala, Kotlin, Go, C#, or similar.
Strong SQL, relational schema design, and data modeling skills.
Experience with large-scale, hierarchical, graph-like, relationship-heavy, or workflow-driven datasets.
Ability to reason through technical tradeoffs, identify risks, and propose practical improvements.
Experience improving scalability, reliability, observability, or maintainability in data-intensive systems.
Strong communication skills and comfort collaborating across Engineering, Product, and Analytics.

Nice to have

Experience building SaaS products for mid-market or enterprise customers.
Experience with rule-driven systems, validation workflows, calculation engines, or approval/governance platforms.
Familiarity with AWS-based infrastructure and Kubernetes.
Familiarity with graph databases or graph-based modeling concepts.
Exposure to Sales Performance Management, RevOps, Incentive Compensation, or related domains.

Technologies we use

Frontend: JavaScript, React, TypeScript

Backend: Java/Spring Boot, Django, Postgres

Data Platform: Spark

Infrastructure: AWS, Docker

What success looks like: 30/60/90 daysFirst 30 days

You’ll focus on building context across Forma’s product domain, data platform, calculation engine, data models, and engineering practices.

By the end of your first 30 days, you will have:

Set up your development environment and become comfortable navigating the codebase, data platform, services, and infrastructure.
Built a clear understanding of the product domain, Spark-based data flows, and key data models.
Learned the team’s practices around testing, observability, deployment, data quality, and reliability.
Built relationships with Engineering, Product, and Analytics partners.
Shipped small improvements or fixes to build familiarity with the system.

First 60 days

You’ll begin owning meaningful data platform work and contributing to technical decisions.

By the end of your first 60 days, you will have:

Taken ownership of a data pipeline, platform component, workflow, or feature area.
Designed and delivered maintainable data platform code aligned with team standards.
Partnered with Product, Engineering, and Analytics peers to translate requirements into scalable data designs.
Identified risks, edge cases, data quality issues, or inconsistencies in the systems you work on.
Contributed to improvements in data modeling, pipeline reliability, testing, observability, or service boundaries.

First 90 days

You’ll be operating as a trusted senior contributor within the team.

By the end of your first 90 days, you will have:

Designed and delivered a meaningful data platform initiative or major feature.
Improved important data models, Spark pipelines, platform services, or workflow handling.
Contributed to technical direction through clear, well-reasoned design decisions.
Improved the reliability, observability, scalability, or maintainability of data-intensive systems.
Helped the team deliver complex calculation and data workflows with greater confidence and clarity.

Additional Job Info:

This position is for an existing vacancy
Salary Range: 150-190K CAD

What you can expect from us

Meaningful compensation. In addition to your base salary, you’ll join our employee stock ownership plan to further recognize your contributions to Forma.ai’s success.

Healthcare coverage. We have a full benefits package that includes medical, dental, vision, disability and life insurance, and a paid parental leave program.

Learning and development. Access the resources you want to help you grow in your role by utilizing our $750 yearly training stipend.

Growth. You’ll have a huge opportunity to build a career for yourself and gain the type of experience you’re looking for, whether that’s as an individual contributor or as a people leader.

Our Values:

Work well, together. We’re real. We have kids and pets. Mortgages and student loans. We’re in this together, so no matter how brilliant any one of us is, we always play nice with one another – no exceptions.
Be precise. Be relentless. We believe complacency breeds failure, so we set new goals as quickly as we achieve them. We persist in the face of adversity, learn from our mistakes, and push each other to continuously improve. The status-quo is kryptonite.
Love our tech. Love our customers. Our platform solves a very complex problem in a currently underserved market. While everyone at Forma isn’t customer-facing, we’re all customer-focused. Maybe even slightly customer-obsessed.

Use of AI for Recruitment

Currently, Forma.ai does not use artificial intelligence as part of our recruitment process, specifically but not limited to the screening, filtering and shortlisting of applicants.

Our commitment to you:

Forma is a proud equal opportunity employer that is committed to creating a diverse and inclusive work environment. Every effort to accommodate candidates for accessibility will be made upon request. Information received related to accommodations will be addressed confidentially. We know that applying to a new role takes a lot of effort. You're encouraged to apply even if your experience doesn't precisely match the job description. There are many paths to a successful career and we’re looking forward to reading yours.

We thank all candidates for their interest however only qualified applicants will be shortlisted.

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More about this job

Responsibilities

Design and build Spark-based data pipelines and platform services to support a rules-based calculation engine for sales commissions. Collaborate with Product and Analytics teams to translate complex business requirements into scalable and reliable data designs.

Requirements

Requires strong experience building production-grade backend or data systems using Spark and languages like Python or Java. Proficiency in SQL, data modeling, and handling large-scale hierarchical or relationship-heavy datasets is essential.

Skills

Spark
Python
Java
Scala
Kotlin
Go
C#
SQL
Data Modeling
Relational Schema Design
ETL Frameworks
AWS
Kubernetes
Docker
Spring Boot
Django

Benefits

Employee Stock Ownership Plan
Medical Insurance
Dental Insurance
Vision Insurance
Disability Insurance
Life Insurance
Paid Parental Leave
Yearly Training Stipend

Visa sponsorship

Not detected in the job text

Keywords

Spark
Data Platform
ETL
Python
Java
Scala
Kotlin
Go
C#
SQL
Data Modeling
AWS
Kubernetes
Docker
Spring Boot
Django
Postgres
SaaS
Sales Performance Management
RevOps
Incentive Compensation
Calculation Engine
Data Pipelines
Observability
Scalability
Graph Databases
Backend Engineering
Data Intensive Systems
Enterprise Software
Software Development

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Jobs in Canada