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Added 1 month ago
TG
Développeur C++
TMX Group
Toronto, ON
- Full-time
Expérience pratique de Java, SQL RDBMS, Linux, Perl, Python et JavaScript
Added 1 month ago
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Analyst, Credit Risk Models
Deloitte
Toronto, ON
- Full-time
In this role, you will help our financial services industry (FSI) clients make high-stakes credit risk decisions with informed confidence. Much of your work will focus on validating credit…
Added 1 month ago
EN
Senior Full Stack Developer – Generative AI & Autonomous Agents - Toronto, Canada - Hybrid (10038)
Extreme Networks
Toronto, ON
- Full-time
We are seeking an experienced Senior Full Stack Developer with deep expertise in backend systems (Java, Python, microservices) and modern UI frameworks (Angular, React) to join our…
Added 1 month ago
BC
Managed Services Administrator
BearCom Canada
London, ON
- Full-time
Experience optimizing tasks with scripts built in environments like Perl, PHP, Python, etc.
Added 1 month ago
Applied Data Scientist - Contract
Arcurve Inc.
Calgary, AB
Expert-level Python and experience with the modern machine learning stack, including scikit-learn, PyTorch, and statsmodels or equivalent libraries.
Added 1 month ago
Intermediate Data Engineer
Arcurve Inc.
Calgary, AB
…advisory and software development companies. In 2006, we began with a belief that there was a better way to deliver professional services in the technology industry. Since then, we have…
Added 1 month ago
R
Principal Data Science and AI Engineer
RBC
Toronto, ON
- Full-time
Engineer, design, and enable the development of platform services that enable autonomous AI agents to interact with infrastructure systems like OpenShift, SQL Server, Apigee, Kafka,…
Added 1 month ago
R
Senior Full Stack Engineer
RBC
Toronto, ON
- Full-time
As a senior software developer, you will work as a part of an agile team to develop automation. We are looking for diverse backgrounds and experience, with a deep understanding of software…
Added 1 month ago
Senior Specialist, Analytics
CMHC - SCHL
Toronto, ON · Ottawa, ON · Montreal, QC · Vancouver, BC · Halifax, NS · Calgary, AB
Experience working with large datasets and tools such as SQL, Python, Power BI, SAS, or similar technologies.
Added 1 month ago
I
Senior Cloud Security Operations Analyst
Intelcom
Montreal, QC · Service Centre (Montreal) Lab
- Full-time
Proficiency in data analysis query using scripting languages such as Python, PowerShell, Bash, Yara-L, SQL, KQL, SPL or others
Added 1 month ago
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Managed Services Administrator, Sarnia, ON
BearCom
London, ON · Sarnia, ON
- Other
Experience optimizing tasks with scripts built in environments like Perl, PHP, Python, etc.
Added 1 month ago
Intern - Credit Risk, Winter 2027
EQ Bank | Canada's Challenger Bank
Toronto, ON
3M to 1 yr of exposure to Microsoft SharePoint and Microsoft PowerShell, Microsoft Power Automate, Python, and/or SQL.
Added 1 month ago
C
Senior Azure Data Engineer
CIBC
Toronto, ON
- Full-time
You can demonstrate 4-6 years of hands-on development expertise with Scala, Python, PySpark and SQL with technical experience in Maven, GitHub, JFrog and Bash. You have 3 or more years of…
Added 1 month ago
Manager Credit Risk Provisions and Analytics
Scotiabank
Toronto, ON
Proficiency in SAS, SQL, Python, and VBA, with experience extracting, transforming, validating, and analyzing large datasets to support reporting, forecasting, and automation initiatives.
Added 1 month ago
R
Generative AI Data Scientist & ML Engineer
RBC
Toronto, ON
- Full-time
Deployment and Integration: Work on deploying LLMs and AI agents into production environments, ensuring seamless integration with existing systems and workflows.
Added 1 month ago
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Architecte de données
Highspring
Montreal, QC
- Full-time
…solutions to organizations across North America. We partner with leading businesses to solve complex challenges through technology, data, and innovation. At Highspring, we believe in…
Added 1 month ago
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Senior Software Engineer, Agentic Systems
CareLink (by Asepha)
Toronto, ON
- Full-time
Familiarity with caching, messaging, and database technologies (Redis, Kafka, SQL/NoSQL, vector databases) and how to use them for performance and reliability
Added 1 month ago
P
Intern, Software Developer
Pomerleau
Laval, QC
- Internship
As a Software Developer Intern, you will contribute to the development and enhancement of applications, digital tools, and automation solutions that support Pomerleau's operations. You will…
Added 3 months ago
M
Manager, Data Engineering
Moneris
Toronto, Ontario
- Full-time
Proficiency with SQL, NoSQL, and distributed data processing frameworks on cloud platforms (AWS, Azure, or GCP).
Added 2 months ago
Senior Specialist, Data & Cloud Platform & Microsoft Azure
PowerCo SE
St. Thomas, ON
Are you ready to be part of something exciting? Power up your career with us!
Added 1 month ago
UT
Senior DevOps Engineer
Unity Technologies
Montreal, QC
- Full-time
Familiarity with cloud-native services and experience with SQL/NoSQL database infrastructure automation.
Added 5 months ago
PC
Data Analyst
Paradigm Consulting
Winnipeg, Manitoba
- Contract
Strong (and demonstrable) knowledge of and experience with reporting packages (e.g. Business Objects), databases (e.g. SQL), programming (e.g. XML, Javascript, or ETL frameworks)
Added 5 months ago
PC
Data Analyst
Paradigm Consulting
Regina, Saskatchewan
- Contract
Strong (and demonstrable) knowledge of and experience with reporting packages (e.g. Business Objects), databases (e.g. SQL), programming (e.g. XML, Javascript, or ETL frameworks)
Added 5 months ago
ICQA Data Analyst
Amazon
Pitt Meadows, British Columbia
- Experience with data scripting languages (e.g., SQL, Python, R, or equivalent) or statistical/mathematical software (e.g., R, SAS, Matlab, or equivalent)
Added 3 months ago
Staff Back End Engineer (Data Platform)
Forma.ai
Toronto, Ontario
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…

Forma.ai

Staff Back End Engineer (Data Platform)

Toronto, ON, Canada

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Job details

Posting language: English
Posted: Jul 8, 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 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 days

First 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

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

Lead the evolution of a Spark-based data platform by designing complex backend services and architecting large-scale enterprise data models. You will drive architectural decisions, improve system reliability, and mentor other engineers to raise backend engineering standards.

Requirements

Requires significant experience building complex production backend systems with expertise in languages like Java or Python and strong SQL skills. Candidates should have a background in Spark, ETL tools, and experience handling hierarchical or graph-like data structures.

Skills

Backend Engineering
Data Modeling
Spark
SQL
Relational Schema Design
Distributed Systems
System Architecture
Java
Python
API Design
Observability
Mentorship
ETL Frameworks
Graph Databases
AWS
Kubernetes

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
Java
Springboot
Django
Postgres
AWS
Docker
Kubernetes
SaaS
ETL
Data Platform
Backend
Distributed Systems
Graph Databases
Relational Databases
SQL
Sales Performance Management
RevOps
Incentive Compensation
System Design
Observability
Scalability
Data Modeling
Python
Kotlin
Go
C#
TypeScript
React
JavaScript

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