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Added 4 months ago
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Staff Machine Learning Engineer
EvenUp
Toronto, Ontario
- $212,000 to $301,000 CAD / year
- Full-time
…across a broad problem space, turning raw legal and medical data into production systems that improve outcomes for personal-injury…
Added 4 months ago
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Manager Software Engineering
PointClickCare
Mississauga, Ontario
- $152,000 to $174,000 CAD / year
- Full-time
As a Manager of Software Engineering reporting to the Sr Manager of Engineering, you'll lead multiple Agile teams to deliver high-quality software solutions. You'll own the technical…
Added 4 months ago
CG
Senior Specialist, Cloud and Infrastructure
Centerra Gold Inc.
Vancouver, British Columbia
- Full-time
…enterprise infrastructure, cybersecurity initiatives, and modern data platforms across multiple international mining…
Added 4 months ago
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Data Engineer II, Tim Hortons, Canada
Tim Hortons
Toronto, Ontario
- Full-time
We are looking for a skilled Data Engineer with 2+ years of hands-on experience in building and maintaining scalable data pipelines and data platforms. The ideal candidate should have hands…
Added 4 months ago
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Senior Software Engineer - Applied AI
Feathery
Toronto, Ontario
- $90,000 to $140,000 CAD / year
- Full-time
Feathery helps insurance and wealth management firms modernize how they collect and process data. Enterprise teams use our platform to run high-stakes workflows - from new client onboarding…
Added 4 months ago
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Staff Software Engineer
Clutch
Toronto, Ontario
- $205,000 CAD / year
- Full-time
Clutch is seeking a Staff Software Engineer / Engineering Lead to drive technical excellence, deliver complex solutions, and shape the future of our platform. This role requires leadership…
Added 4 months ago
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Staff Back End Engineer (Data Platform)
Forma.ai
Remote, Canada
- Full-time
- Remote
Reporting to the Manager of Data Platform, you will play a critical role in the evolution of our Spark based data platform. You'll lead development efforts for our complex, data-rich…
Added 4 months ago
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Software Engineer II, AI
Klue
Toronto, Ontario
- $115,000 to $149,000 CAD / year
- Full-time
At Klue, We’re Building the Future of Competitive Intelligence👋 Klue Engineering is hiring!
Added 3 months ago
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Apps Dev Intmd Programmer Analyst
Citi
Mississauga, ON
- Full-time
Seeking an innovative Application Engineer to build and optimize our data pipelines. This role focuses on advanced ETL development, implementing Agentic AI for intelligent automation, and…
Added 3 months ago
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Applications Development Sr Programmer Analyst
Citi
Mississauga, ON
- Full-time
Strong scripting skills (Python, Shell) and CI/CD automation experience.
Added 3 months ago
Structural Engineer, Energy
WSP
Calgary, AB
Knowledge of Python programming and API integrations/interfaces for engineering automation, data analysis, and workflow optimization would be considered an asset.
Added 3 months ago
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Principal Systems Engineer- Enterprise AI (Design & Implementation)
Flatgigs
Remote, Canada
- Full-time
- Remote
…systems thinking, high-level architecture and hands-on software engineering. The successful candidate will design and build scalable, enterprise-grade AI systems, reusable software…
Added 3 months ago
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Concepteur/Conceptrice Circuits Intégrés Photoniques (PIC) (Montréal)
Pasqal
Montreal, QC
- $80,000 to $100,000 CAD / year
- Full-time
…photonic integrated circuits (PICs) for telecommunications, data center, and quantum technology applications. Aeponyx is a Canadian subsidiary of…
Added 3 months ago
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Concepteur/Conceptrice Photonique & Technologies quantiques (Montréal) H/F
Pasqal
Montreal, QC
- $80,000 to $100,000 CAD / year
- Full-time
Analyze data and test results from fabricated components and optimize design robustness for high-volume production.
Added 3 months ago
LC
System Analyst, AI
Linamar Corporation
Guelph, ON
- Full-time
Post-secondary Education in Computer Science, Engineering, Data Science, or another related discipline
Added 3 months ago
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Concepteur/Conceptrice Photonique & Technologies quantiques (Montréal) H/F
Pasqal
Montreal, QC
- $80,000 to $100,000 CAD / year
- Full-time
Analyze data and test results from fabricated components and optimize design robustness for high-volume production.
Added 2 months ago
Senior Software Developer, Manufacturing Data Solutions (Python/SQL)
Sonova AG
Kitchener, ON
Strong experience with data engineering technologies, including ETL pipelines, Python, SQL, and relational databases
Added 3 months ago
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Software Engineer (Python) - PricingCenter
Guidewire Software
Toronto, ON · Mississauga, ON
- Full-time
…collaborative, hybrid environment, pairing closely with product, UX, and data teams to deliver secure, reliable services at scale. Our stack centers on Python, modern web APIs, and…
Added 3 months ago
MS
Senior Java/Scala Developer - Risk Infrastructure (Hybrid)
Morgan Stanley
Montreal, QC
- Full-time
We’re seeking a Senior Java/Scala Developer to join the Optimus SDLC team and lead the evolution of Optimus within the broader Codetree ecosystem, which supports Morgan Stanley’s Fixed…
Added 2 months ago
XS
Spécialiste GNSS / GNSS Specialist
Xona Space Systems
Montreal, QC
- Full-time
Expérience de l'analyse théorique des performances des systèmes GNSS dans différents environnements à l'aide de Python, C, C++ ou MATLAB.
Added 3 months ago
MS
Senior Security Engineer - Pentester
Menlo Security
Remote, Canada
- Full-time
- Remote
…government agencies, to protect their most valuable asset, their data, and is backed by top-tier…
Added 3 months ago
A
FPGA Compiler (Placer) Engineer
Altera
Toronto, ON
- Full-time
Bachelor’s or Master’s degree in Electrical Engineering, Computer Engineering, Computer Science, or related field.
Added 3 months ago
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SMTS Logic Design
Rambus
Montreal, QC
- Other
Rambus, a premier chip and silicon IP provider making data faster and safer, is seeking to hire an exceptional Senior Member of Technical Staff (SMTS) – Logic Design Engineer to join our…
Added 2 months ago
A
Senior Hardware Engineer
Adtran
Ottawa, ON
- Full-time
…pluggable optical transceiver modules for metro, core, and data center applications. The successful candidate will have proven competency in high-speed electronic design, signal integrity…
Added 4 months ago
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Senior Data Engineer
iQmetrix
Regina, Saskatchewan
- Full-time
A core part of the mission is reducing friction across the data lifecycle: onboarding, modeling, governance, exposure, and application. That means building high-quality lakehouse pipelines,…

Forma.ai

Staff Back End Engineer (Data Platform)

Remote, Canada

Remote

Full-time

Apply About employer

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Job details

Job type: Full-time
Workplace: Remote
Posting language: English
Posted: Jul 7, 2026

Original job description

About the Team Engineers on this team construct our rules-based calculating engine for processing sales commissions. This might sound simple if you have never been exposed to sales comp plans, it is not! We are low on meetings, high on accountability. Most of the team are in EST time zone but we have a few located in PST and Central as well. We are far from maintenance / progressive evolution in many areas, there is a lot of room to make a big impact in the overall design. What you’ll be doing Reporting to the Manager of Data Platform, you will play a critical role in the evolution of our Spark based data platform. You'll lead development efforts for our complex, data-rich platform features while being an example to the team of code quality and thoughtful software design. You will be working on the most challenging code at Forma. As a Staff Engineer, you are expected to operate with a high degree of ownership and trust. This includes proactively identifying architectural risks, surfacing edge cases or constraints others may not see, and advocating for improvements that strengthen the long-term integrity of the system. We value engineers who bring forward thoughtful perspectives - even when they challenge assumptions - and who help the team see around corners. You will: Design and evolve backend services that power product workflows. Architect data models representing hierarchical & graph structures, relationships, and large-scale enterprise datasets. Build deterministic, reliable systems that allow customers to reason clearly about their data. Drive architectural decisions that balance extensibility, performance, and operational simplicity. Improve observability, testing strategy, and production reliability across backend services. Partner closely with Product to translate nuanced business requirements into clean, scalable designs. Mentor engineers across levels and help raise the bar for backend engineering standards. Use, and demonstrate using, AI tooling to improve implementation velocity while thoughtfully investing in technical and product specifications What We're Looking for: Significant experience designing and building complex backend systems in production environments. Demonstrated ability to surface unarticulated risks, propose alternative approaches, and advocate for architectural improvements with sound technical reasoning. Expertise in at least one production-grade backend language (e.g., Python, Java, Kotlin, Go, C#, etc.). Strong foundation in relational schema design, data modelling, and SQL. Background working with Spark, or other ETL tools / frameworks Experience working with hierarchical, graph-like, or relationship-heavy data structures. Familiarity with graph databases or graph-based modelling concepts is a strong plus. Excellent written and verbal communication skills. A track record of improving scalability, reliability, and observability in distributed or data-intensive systems. A desire to influence architecture and product direction - not just implement tickets. Thrive in a collaborative, detail-oriented environment across Engineering, Product, and Analytics. Nice to have: Experience building SaaS products serving mid-market or enterprise customers. Experience building rule-driven systems, validation workflows, or approval/governance platforms. Familiarity with AWS-based infrastructure and Kubernetes. Exposure to Sales Performance Management (SPM), RevOps, Incentive Compensation (ICM), or related domains. **** Technologies we use Frontend: JavaScript, React, TypeScript Backend: Java/Springboot, Django, Postgres Infrastructure: AWS, Docker What success looks like: 30/60/90 daysFirst 30 days You’ll focus on building deep context across the product domain, backend architecture, and the data models that power Forma’s platform. By the end of your first 30 days, you will have: Developed a strong understanding of Forma.ai’s product, customers, and sales performance domain. Built a clear mental model of the backend architecture, core services, and data flows across the system. Gained familiarity with key data models, including hierarchical structures, relationships, and workflow-driven entities. Set up your development environment and become comfortable navigating the codebase, services, and infrastructure. Learned the team’s engineering practices around testing, observability, deployment, and reliability. Built relationships with engineering, product, and analytics partners. Contributed to technical discussions, asking thoughtful questions and identifying early areas of complexity or risk. Shipped small but meaningful improvements or fixes to build familiarity with the system. Started identifying opportunities to improve data modeling, system clarity, or backend reliability. First 60 days You’ll begin owning meaningful backend systems and influencing technical decisions. By the end of your first 60 days, you will have: Taken ownership of a significant backend component, service, or workflow. Designed and delivered well-structured, maintainable backend code aligned with system standards. Partnered closely with Product to translate complex business requirements into scalable backend designs. Demonstrated strong judgment in data modeling, especially around relationships, hierarchy, and workflow representation. Identified and surfaced architectural risks, edge cases, or inconsistencies in existing systems. Proposed and, where appropriate, implemented improvements to backend architecture, data models, or service boundaries. Contributed to improvements in observability, testing, and production reliability. Participated actively in code reviews and technical design discussions, raising the bar for quality and clarity. Begun mentoring or supporting other engineers in areas of strength. Built enough system context to make informed tradeoffs between performance, extensibility, and simplicity. First 90 days You’ll be operating as a trusted technical leader across backend systems. By the end of your first 90 days, you will have: Led the design and delivery of a complex backend initiative spanning multiple services or domains. Introduced or significantly improved core data models, system architecture, or workflow handling. Demonstrated the ability to anticipate and mitigate long-term architectural risks. Influenced technical direction through clear, well-reasoned proposals and design decisions. Improved the reliability, observability, or scalability of critical backend systems. Established strong working relationships across Engineering, Product, and Analytics. Elevated engineering standards through mentorship, design reviews, and technical guidance. Helped the team better reason about complex, data-intensive workflows through clearer system design. Identified and begun executing on longer-term backend investments that improve system integrity and developer velocity. Demonstrated clear impact on both system quality and the team’s ability to deliver confidently at scale. Additional Job Info: This position is for an existing vacancy

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More about this job

Responsibilities

You will design and evolve backend services that power product workflows and drive architectural decisions that balance extensibility, performance, and operational simplicity. Additionally, you will mentor engineers and improve observability, testing strategy, and production reliability across backend services.

Requirements

The role requires significant experience in designing and building complex backend systems, with expertise in at least one production-grade backend language and a strong foundation in relational schema design. Familiarity with Spark and experience with hierarchical or graph-like data structures are also important.

Skills

Backend Development
Data Modeling
SQL
Spark
ETL Tools
Graph Databases
Observability
Testing Strategy
Production Reliability
Architectural Design
Mentorship
Collaboration
Java
Python
Django
AWS

Remote locations

Toronto, Canada

Remote locations (standardized)

Toronto, Ontario, Canada

Visa sponsorship

Not detected in the job text

Keywords

Backend Development
Data Platform
Sales Commissions
Spark
Java
Python
Django
Postgres
AWS
Docker
ETL
Graph Databases
Observability
Testing
Production Reliability
Architectural Design
Mentorship

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