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Added 2 months ago
Senior Technology Manager, Data Delivery
Equitable
Waterloo, ON
Strong experience in full-stack application development, including front-end frameworks (e.g., Angular, React, or Vue.js), back-end development using .NET/C#, Java, or Python, and designing…
Added 3 months ago
F
Senior Back End Engineer (Data Platform)
Forma.ai
Toronto, Ontario
- $150,000 to $190,000 CAD / year
- Full-time
Proficiency in at least one production-grade language such as Python, Java, Scala, Kotlin, Go, C#, or similar.
Added 2 months ago
LH
AI Augmented Developer (Full Stack - Innovation Team)
LGI Healthcare Solutions Santé Inc.
Montreal, QC
- Full-time
Develop and maintain enterprise B2B application modules with AI as your development copilot in a C#, .NET Core, Java, Angular, React, and Kubernetes environment.
Added 4 months ago
AT
ead Full Stack Developer (C# / .NET Core / Azure)
Aarorn Technologies Inc
Toronto, Ontario
- Contract
Job Title: Lead Full Stack Developer (C# / .NET Core / Azure)
Added 1 month ago
Senior Software Engineer / Software Developer (React Native)
PlayStation Global
Waterloo, ON
We are seeking a Senior Software Engineer / Software Developer specializing in React Native and high-performance frontend development for mobile platforms. In this role, you will define the…
Added 1 month ago
Senior Platform Engineer - AI Platforms & Deployment - Landmark
Halliburton
Calgary, AB
Added 1 month ago
IE
Senior and Staff Software Engineers (Product Engineering) - Multiple Roles
Index Exchange
Toronto, ON
- Full-time
Strong software engineering skills, including proficiency in programming languages such as Golang, Java, C#, Typescript (React)
Added 4 months ago
R
Founding Software Engineer
Residen
Toronto, Ontario
- $110,000 to $130,000 CAD / year
- Full-time
Frontend: High-traffic web and mobile in React/Next.js. You sweat the details users notice, and the ones they never will.
Added 4 months ago
AP
Director, Engineering
Accommodations Plus International
Markham, ON
- $190,000 to $200,000 CAD / year
Deep technical background in Java and Angular (or a comparable modern frontend framework such as React or Vue)
Added 1 month ago
R
Senior Full-Stack Software Development Engineer
Remitly
Burnaby, BC
- Full-time
Strong backend fundamentals - experience building, scaling, and operating distributed services in a language such as Go, Java, Python, or Kotlin.
Added 1 month ago
C
VP Senior Applied AI Full-Stack Engineer
Citi
Mississauga, ON
- Full-time
…critically reviewing and taking ownership of all AI-generated code (Java, Angular, React, SQL) to ensure structural integrity, security compliance, and production readiness, while applying…
Added 4 months ago
W(
Senior Full-Stack Engineer
Wunderkind (formerly BounceX)
Montreal, Quebec · Quebec, Quebec
- Full-time
Strong proficiency in at least one backend language such as Go, Java, or similar, with experience building production APIs, services, and integrations.
Added 1 month ago
C
Java Full Stack Developer - VP
Citi
Mississauga, ON
- Full-time
Solid frontend experience with modern JavaScript frameworks (React, Angular, or Vue)
Added 1 month ago
C
Python Full Stack Developer - VP
Citi
Mississauga, ON
- Full-time
Solid frontend experience with modern JavaScript frameworks (React, Angular, or Vue)
Added 4 months ago
S
Senior Mobile Engineer, Agentic Payments
Snaplii
Etobicoke, Ontario
- Full-time
Develop, integrate, and optimize native modules in Kotlin/Java for Android and Swift/Objective-C for iOS to access platform-specific features, enhance performance, or resolve complex issues…
Added 4 months ago
C
Full Stack Java Developer Lead
CGI
Toronto, Ontario
- Full-time
We are looking for a Senior Full Stack Developer with deep expertise in Java, cloud technologies, and AI, along with strong experience in the Property & Casualty (P&C) insurance domain. You…
Added 4 months ago
S&
Lead Full Stack Developer
Saatchi & Saatchi Canada
Canada
- Full-time
Saatchi & Saatchi is seeking a Lead Full Stack Developer for an innovative AI platform initiative.
Added 5 months ago
A
AI Full Stack Developer
Avanade
Toronto, Ontario
- Full-time
Proficiency in front-end frameworks such as React, Angular, or Vue.js.
Added 4 months ago
LI
Senior Java Software Engineer
LanceSoft, Inc.
Montreal, Quebec
- Contract
We have an immediate need in an experienced full-stack developer, who is strong in Java and knowledgeable in Angular.
Added 2 months ago
C
Senior Java Developer
Citi
Mississauga, ON
- Full-time
The Senior Java Developer is an intermediate level position responsible for participation in the establishment and implementation of new or revised application systems and programs in…
Added 2 months ago
M
Software Engineer – Ground Systems / Operations
MDA
Saint-Bruno-de-Montarville, QC
- Full-time
Experience with Java using maven (including Spring framework and Hibernate)
Added 1 month ago
C
Gen AI Python Developer - Assistant Vice President
Citi
Mississauga, ON
- Full-time
We are looking for a Python Developer (Applications Development Sr Programmer Analyst - C12) with hands-on experience developing Gen AI solutions. As a developer, you will leverage your…
Added 4 months ago
M
Java Full Stack Developer
Mindtris
Mississauga, Ontario
- Full-time
Job Description: We are actively seeking a seasoned Java Fullstack Developer with expertise in developing robust applications.
Added 4 months ago
B
React Native Developer
BrainStation
Vancouver, British Columbia · Toronto, Ontario
- Full-time
As a Mobile Developer (React Native), you’ll be tasked with building high-quality cross-platform mobile applications. While your primary focus will be React Native, familiarity with native…
Added 1 month ago
Senior Java Developer
Konrad
Toronto, ON
As a Full Stack Java Developer you'll be tasked with working on web application development in Java and Spring Boot. Working within the software development team, your duties will require…

Forma.ai

Senior Back End Engineer (Data Platform)

Toronto, ON, Canada

$150,000 to $190,000 CAD / year · Full-time

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Job details

Pay: $150,000 to $190,000 CAD / year
Job type: Full-time
Posting language: English
Posted: Jun 16, 2026

Original job description

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

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More about this job

Responsibilities

You will design and build data-rich platform capabilities while ensuring the reliability and scalability of data systems. You will also contribute to system design discussions and improve testing and observability across the systems.

Requirements

Strong experience in building data or backend systems in production is required, along with proficiency in a production-grade programming language. Experience with Spark or similar frameworks and strong SQL skills are also essential.

Skills

Spark
Data Pipelines
Data Modeling
SQL
Python
Java
Scala
Kotlin
Go
C#
Data Quality
Observability
Reliability
Scalability
Collaboration
ETL

Visa sponsorship

Not detected in the job text

Keywords

Spark
Data Platform
Data Pipelines
Sales Compensation
Java
Spring Boot
Django
Postgres
AWS
Docker
ETL
Data Quality
Observability
Reliability
Scalability
Data Modeling
Collaboration

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