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Added 1 month ago
J
Staff Data Engineer
Jobber
Remote, Canada
- Full-time
- Remote
Then Jobber might be the place for you! We’re looking for a new Staff Data Engineer to join our Data Platform Team.
Added 1 month ago
E
Senior/Staff/Principal Product Manager, PLG & Self-Serve
EvenUp
Toronto, ON
- $177,650 to $209,000 USD / year
- Full-time
We're hiring a Senior/Staff/Principal Product Manager to lead product-led growth (PLG) and self-serve tooling that removes operational toil from the processes around the setup,…
Added 2 months ago
E
Staff Software Engineer, Product
Enurgen
Remote, Canada
- $175,000 to $195,000 CAD / year
- Full-time
- Remote
Take on the highest-leverage problem in the company at any given time, across our Go edge system, our ClickHouse-based data platform, or our TypeScript/React product. Often more than one at…
Added 2 months ago
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Staff DevOps Engineer
Nexxa.AI
Remote, Canada
- Full-time
- Remote
We're looking for a Senior/Staff DevOps Engineer who has spent the last several years building and operating the infrastructure that lets AI and industrial systems run reliably at scale.…
Added 2 months ago
Java Developer
Capgemini
Montreal, QC
We're seeking a Java Engineer to join our Firm Market Risk Technology team. In this role, you will develop and enhance the Firm's Market Risk Platform.
Added 2 months ago
Java Developer
Capgemini
Montreal, QC
We're seeking a Java Engineer to join our Market Risk Technology team. In this role, you will develop and enhance the Market Risk Platform.
Added 2 months ago
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Staff Software Engineer
Braze
Vancouver, BC
- Full-time
We're looking for a Staff Fullstack Engineer to join the Core Objects team as a hands-on technical leader. You will drive the architecture, scalability, and performance of a complex,…
Added 2 months ago
C
Senior Data Engineer
CarePartners
London, ON · Waterloo, ON
- Full-time
The Senior Data Engineer is responsible for the design, governance, and ongoing evolution of the organization's enterprise data environment. This role provides leadership in data…
Added 3 months ago
RB
Staff Software Engineer
Ritchie Bros.
Vancouver, BC
- Full-time
We are seeking a highly skilled Staff Software Engineer to join our Data Engineering team. In this senior technical leadership role, you will drive the architecture, design, and evolution…
Added 2 months ago
J
Staff Analytics Engineer
Jane
Remote, Canada
- Full-time
- Remote
Own data ingestion, integration, and platform architecture, making thoughtful trade-offs as our systems evolve.
Added 2 months ago
Staff Engineer - Experimentation Platform
Faire
Toronto, ON · Kitchener, ON
Faire is a technology wholesale platform built on the belief that the future is local. Independent retailers around the globe collectively represent a multi-hundred-billion-dollar wholesale…
Added 3 months ago
DI
Full Stack Engineer (1877)
Direct IT Recruiting Inc.
Toronto, ON
- $85 to $90 CAD / hour
- Contract
Design and implement robust solutions for re-pointing C# .NET applications from Oracle to Snowflake, encompassing data access layer modernization and performance tuning for the new data…
Added 2 months ago
A
Lead Infrastructure Engineer
AtoB
Montreal, QC
- Full-time
Familiarity with modern data stack tooling: dbt, Snowflake, CDC tools (Debezium, Estuary, etc.)
Added 4 months ago
C
Senior Data Engineer
ClickUp
Canada
- Full-time
We're looking for a Staff Data Engineer to own the architecture and technical vision of our data platform. This is a high-leverage, high-autonomy role where you'll set the technical bar for…
Added 4 months ago
A
Staff Software Engineer Data - DC Tech Lead
Afresh
Remote, Canada
- $148,000 to $242,000 CAD / year
- Full-time
- Remote
As a Staff Data Engineer, on the Distribution Center (DC) Solutions team, you’ll play a technical lead role in building and scaling the data integrations needed to support our suite of DC…
Added 1 month ago
Staff Software Reliability Engineer - Data Platform
Okta
Toronto, ON
This is an opportunity for experienced Software Reliability Engineers to join our fast growing Data Platform organization that is passionate about scaling high volume, low-latency,…
Added 2 months ago
VR
Member of Technical Staff
VSG Recruitment
Remote, Canada
- Full-time
- Remote
Data Platform: Build and scale multi-tenant data infrastructure, ingestion pipelines, canonical data models, and semantic layers using technologies such as Iceberg, Snowflake, Databricks,…
Added 3 months ago
R
Staff Software Engineer
RBGlobal
Burnaby, BC
- Full-time
We are seeking a highly skilled Staff Software Engineer to join our Data Engineering team. In this senior technical leadership role, you will drive the architecture, design, and evolution…
Added 1 month ago
JS
Senior Software Engineer, AI-Native Data Warehouse
Juniper Square
Remote, Canada
- Full-time
- Remote
…Operations Partner trusted by 2,300+ GPs, unifying technology, data, and fund administration services into a single platform that helps GPs move faster, make better decisions, and scale…
Added 1 month ago
Staff Machine Learning Engineer
OpenTable
Toronto, ON
As a Staff Machine Learning Engineer, you will set the technical direction for how OpenTable builds, serves, and operates machine learning systems in production. You will partner with…
Added 1 month ago
FF
Staff Applied AI Engineer
Forward Financing
Remote, Canada
- $180,000 to $240,000 CAD / year
- Full-time
- Remote
Integrate AI services into complex technology stacks, ensuring interoperability with microservices, AWS platform, and data systems (Snowflake).
Added 1 month ago
Staff Software Engineer, Fullstack
Fivetran
Toronto, ON
As a staff software engineer in Reverse ETL, you’ll be on the front lines of integrating data activation capabilities into the Fivetran product along every dimension – UI, authentication,…
Added 3 months ago
M
Principal Engineer - Platform & Data
Masabi
Remote, Canada
- Full-time
- Remote
…most. A particular focus for this role is strengthening our data architecture, how we structure, use and build on the data our platform…
Added 1 month ago
Engineering Manager – Data Platform, Lakehouse Foundation
Lyft
Toronto, ON
Experience managing data infrastructure or platform teams. Direct experience with lakehouse architectures (Databricks, Snowflake) and modern table formats (Delta, Iceberg, Hudi) strongly…
Added 5 months ago
BS
Member of Technical Staff
Beacon Software
Toronto, Ontario
- Full-time
Members of Technical Staff (MTS) are the senior engineers who build the platform that everything else at Beacon runs on. You will own a piece of the core stack end-to-end: design,…

Capgemini

Java Developer

Montreal, QC, Canada

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Job details

Posting language: English
Posted: Aug 21, 2026

Original job description

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you’d like, where you’ll be supported and inspired by a collaborative community of colleagues around the world, and where you’ll be able to reimagine what’s possible. Join us and help the world’s leading organizations unlock the value of technology and build a more sustainable, more inclusive world.

Job Description:

Role Overview

We're seeking a Java Engineer to join our Firm Market Risk Technology team. In this role, you will develop and enhance the Firm's Market Risk Platform.

This is a hands-on Software Engineering role. The successful candidate will spend a significant portion of their time designing, building, and optimizing Java-based systems while also providing technical expertise within the squad.

The Firm Market Risk Technology Team develops software to measure and monitor Market Risk and Capital for the firm's global portfolio. We are responsible for designing and implementing technology solutions that calculate the firm's market risk exposure. Our systems support large-scale simulations and analytics that estimate potential losses across multiple time horizons. We work closely with Risk Managers, Market Risk Analytics teams, senior management, and regulatory stakeholders globally. The Market Risk Technology team continually evolves its suite of risk management tools, frameworks, and processes, while also building new solutions to meet an ever-changing business and regulatory landscape.

What You'll Do

Hands-on core Java development with responsibilities for the design, implementation, and support of key components of the Market Risk platform.
Implement scalable, high-performance computing solutions for market risk calculations and analytics capabilities.
Leverage AI tools to support agentic and analytical workflows while maintaining rigorous standards for solution quality, accuracy, and correctness.
Collaborate with cross-functional teams and global counterparts to deliver high-quality solutions.
Work in an Agile development environment, ensuring timely and efficient product delivery.
Provide technical leadership and mentorship to junior developers within the squad.

What You'll Bring

Strong expertise in Core Java development, with a proven track record of building production-grade backend systems.
Experience designing and building large-scale distributed systems.
Solid understanding of data structures, algorithms, and software design patterns.
Strong working knowledge of Linux/Unix environments and scripting.
Experience with relational and/or document-oriented databases.
Ability to translate business and analytical requirements into efficient technical solutions. Deep Market Risk domain expertise is not required upfront and can be developed on the job through close partnership with Risk and Analytics teams.
Ability to guide junior staff, influence technical direction, and manage multiple initiatives in parallel.
Typically 5+ years of relevant experience building large-scale, production-grade systems, with demonstrated expertise in Java-based backend development and distributed system design.
Bachelor's degree in Computer Science, Information Technology, or a related field, or equivalent practical experience.

Soft Skills & Respnsibilities:

Strong problem-solving and analytical thinking skills.
Self-starter with the ability to take initiative and drive projects independently.
Ability to align technology solutions with business goals and regulatory requirements.
Excellent verbal and written communication skills.

Preferred Qualifications

Experience with Agentic AI development tools such as GitHub Copilot and Claude Code.
Experience using Python and Unix in production environments.
Experience with cloud platforms such as Azure, AWS, GCP, or other major cloud providers.
Exposure to big data technologies such as Apache Spark and Snowflake.
Experience with Infrastructure as Code (IaC) tools such as Terraform and CloudFormation.
Knowledge of containerized deployments and cloud-native architectures.
Familiarity with Agile software development methodologies and DevOps best practices.
Background in financial services, particularly within Market Risk or FinTech.

The base compensation range for this role in the posted location is: 75,000 to 90,000

Capgemini provides compensation range information in accordance with applicable national, state, provincial, and local pay transparency laws. The base compensation range listed for this position reflects the minimum and maximum target compensation Capgemini, in good faith, believes it may pay for the role at the time of this posting. This range may be subject to change as permitted by law.

The actual compensation offered to any candidate may fall outside of the posted range and will be determined based on multiple factors legally permitted in the applicable jurisdiction.

These may include, but are not limited to: Geographic location, Education and qualifications, Certifications and licenses, Relevant experience and skills, Seniority and performance, Market and business consideration, Internal pay equity.

It is not typical for candidates to be hired at or near the top of the posted compensation range.

In addition to base salary, this role may be eligible for additional compensation such as variable incentives, bonuses, or commissions, depending on the position and applicable laws.

Capgemini offers a comprehensive, non-negotiable benefits package to all regular, full-time employees. In the U.S. and Canada, available benefits are determined by local policy and eligibility and may include:

Paid time off based on employee grade (A-F), defined by policy: Vacation: 12-25 days, depending on grade, Company paid holidays, Personal Days, Sick Leave

Medical, dental, and vision coverage (or provincial healthcare coordination in Canada)
Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada)
Life and disability insurance
Employee assistance programs
Other benefits as provided by local policy and eligibility

Important Notice: Compensation (including bonuses, commissions, or other forms of incentive pay) is not considered earned, vested, or payable until it becomes due under the terms of applicable plans or agreements and is subject to Capgemini’s discretion, consistent with applicable laws. The Company reserves the right to amend or withdraw compensation programs at any time, within the limits of applicable legislation.

Disclaimers

Capgemini is an Equal Opportunity Employer encouraging inclusion in the workplace. Capgemini also participates in the Partnership Accreditation in Indigenous Relations (PAIR) program which supports meaningful engagement with Indigenous communities across Canada by promoting fairness, accessibility, inclusion and respect. We value the rich cultural heritage and contributions of Indigenous Peoples and actively work to create a welcoming and respectful environment. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law.

This is a general description of the Duties, Responsibilities and Qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodation does not pose an undue hardship. Capgemini is committed to providing reasonable accommodation during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact.

Please be aware that Capgemini may capture your image (video or screenshot) during the interview process and that image may be used for verification, including during the hiring and onboarding process.

Click the following link for more information on your rights as an Applicant in the United States. http://www.capgemini.com/resources/equal-employment-opportunity-is-the-law

Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.

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More about this job

Responsibilities

The Java Engineer will design, build, and optimize Java-based systems for the Firm Market Risk Platform to measure and monitor global portfolio risk. They will collaborate with cross-functional teams to deliver scalable, high-performance computing solutions while providing technical leadership within the squad.

Requirements

Candidates must have 5+ years of experience in core Java development and building production-grade distributed systems. A bachelor's degree in Computer Science or a related field is required, along with strong analytical skills and proficiency in Linux/Unix environments.

Skills

Java
Software Engineering
Market Risk
Distributed Systems
Linux
Unix
Data Structures
Algorithms
Software Design Patterns
Agile
Python
Cloud Platforms
Big Data
Infrastructure as Code
Containerization
DevOps

Benefits

Paid time off
Company paid holidays
Personal days
Sick leave
Medical coverage
Dental coverage
Vision coverage
Retirement savings plans
Life insurance
Disability insurance
Employee assistance programs

Visa sponsorship

Not detected in the job text

Keywords

Java
Market Risk
Software Engineering
Distributed Systems
Linux
Unix
Agile
Python
Azure
AWS
GCP
Apache Spark
Snowflake
Terraform
CloudFormation
DevOps
FinTech
GitHub Copilot
Claude Code
Generative AI
Cloud-native
Data Structures
Algorithms
Software Design Patterns
Risk Management
Analytics
Capital
Infrastructure as Code
Containerized Deployments
Financial Services

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