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Added 2 months ago
BV
Senior DevOps Engineer, Agentic Automation & Live Games
Big Viking Games
Remote, Canada
- Full-time
- Remote
Big Viking Games is hiring a Senior DevOps Engineer, Agentic Automation & Live Games to modernize the infrastructure behind our live-service games and help reinvent how those systems are…
Added 2 months ago
Senior Data Engineer
Konrad
Toronto, ON
As a Senior Data Engineer you’ll be tasked with designing, building, and maintaining scalable data platforms and pipelines. Your deep knowledge of data platforms such as Azure Fabric,…
Added 2 months ago
Data Engineer
Konrad
Toronto, ON
As a Data Engineer you’ll be tasked with designing, building, and maintaining scalable data platforms and pipelines. Your deep knowledge of data platforms such as Azure Fabric, Databricks,…
Added 2 months ago
E
Sr. DevSecOps Analyst
EllisDon
Mississauga, ON
- Full-time
Experience in Infrastructure Engineering, Cloud Engineering, DevOps, Platform Engineering, Security Engineering, or related technical disciplines.
Added 2 months ago
Senior Software Engineer (Gaming Full Stack) - WWE Champions
Scopely
Canada
Familiarity with cloud infrastructure (AWS) and modern DevOps practices (CI/CD, containerization)
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
UM
Principal Backend Engineer
US Mobile
Toronto, ON
- Full-time
We're looking for an exceptional backend engineer and hands-on architect to help us scale and connect millions of devices to wireless networks. The projects and potential impact are…
Added 2 months ago
UM
Principal Backend Engineer
US Mobile
Montreal, QC
- Full-time
We're looking for an exceptional backend engineer and hands-on architect to help us scale and connect millions of devices to wireless networks. The projects and potential impact are…
Added 2 months ago
Senior DevOps Engineer
Murex
Toronto, ON
As a DevOps Engineer, you will be responsible for designing, building, and operating automated platforms that enable reliable, secure, and scalable delivery of the MX platform across SaaS,…
Added 2 months ago
MC
Senior Software Engineer - Brokerage Platform
Moomoo Canada
Toronto, ON · North York, ON
- Full-time
Experience with cloud infrastructure and modern DevOps practices
Added 2 months ago
A
Software Engineer, ML Ops
AeroVect
Remote, Canada
- $123,828 to $154,785 USD / year
- Full-time
- Remote
Set up training workflows and optimize cloud costs
Added 2 months ago
OC
Senior OpenShift Engineer
OPTICCA CONSULTING INC.
Quebec, QC
- Full-time
The successful candidate will work closely with application, security, networking, storage, and DevOps teams to deliver resilient container platforms in on-premises, hybrid-cloud, and…
Added 2 months ago
OC
Senior Ansible Automation Specialist
OPTICCA CONSULTING INC.
Quebec, QC
- Full-time
Opticca Consulting Inc. is a Canadian technology consulting firm specializing in Microsoft Azure cloud infrastructure, enterprise landing zones, cloud migrations, and managed services. We…
Added 2 months ago
B
Data Engineer
BrainStation
Toronto, ON
- $90,000 to $125,000 USD / year
- Full-time
As a Data Engineer you’ll be tasked with designing, building, and maintaining scalable data platforms and pipelines. Your deep knowledge of data platforms such as Azure Fabric, Databricks,…
Added 2 months ago
FG
Lead Software Engineer, Full-Stack Applications - Ratings Technology
Fitch Group
Toronto, ON
- $180,000 to $220,000 CAD / year
Modern engineering practices and DevOps prowess – Deep experience with Docker, Kubernetes/EKS, GitHub, sophisticated CI/CD pipelines, and hands-on cloud expertise (AWS/Azure) with…
Added 3 months ago
B
Team Lead, Cloud Business Office (CBO)
BRP
Montreal, QC · Greater Montreal Metropolitan Area
- Full-time
…OPA/Gatekeeper), and CI/CD pipelines (GitHub Actions/Azure DevOps/Cloud Build) with drift detection and…
Added 2 months ago
TI
Data Engineer (DevOps)
Tecsys Inc.
Montreal, QC
- Full-time
We're looking for a Data Platform Engineer (DevOps) to join our TecsysIQ Data & AI team. This is a hybrid role that builds and operates the cloud data platform powering our analytics and AI…
Added 1 month ago
UT
Staff Software Engineer, Gaming AI
Unity Technologies
Montreal, QC · CAN-Montreal
- Full-time
As a Staff Software Engineer on our gaming AI team, you will be responsible for leading the delivery of cloud services and features that power this platform. This is new and challenging…
Added 2 months ago
H
Data DevOps Engineer
HSBC
Toronto, ON
- Full-time
We are looking for a passionate and driven Data Development and Operations (Data DevOps) Engineer to join our CTO Analytics Technology team. In this role, you will work on a…
Added 2 months ago
TR
Lead Cloud Platform Engineer, Azure
Thomson Reuters
Toronto, ON · Canada, Toronto, Ontario
- Full-time
Secure the estate. Manage secrets in Key Vault, drive Defender for Cloud and Defender for Containers findings to resolution, and keep patching, image hygiene, and vulnerability remediation…
Added 2 months ago
D
Principal Solutions Architect (West Coast or Mountain)
Docker
Remote, Canada
- Full-time
- Remote
Solid understanding of cloud platforms (AWS, Azure, GCP), containers, DevOps, and modern application architectures.
Added 2 months ago
F
Senior Security Engineer
Forma.ai
Toronto, ON
- $160,000 to $190,000 USD / year
- Full-time
As a Senior Security Engineer, you will be a hands-on technical leader strengthening security across Forma's application, cloud infrastructure, development lifecycle, internal systems, and…
Added 2 months ago
C
Staff CAD/EDA Tools Engineer
Cognichip
Toronto, ON
- $143,000 to $175,000 CAD / year
- Full-time
We are seeking a Staff CAD/EDA Tools Engineer to own the application layer of our EDA tool ecosystem: the wrapper scripts, CLI tooling, and container images that let engineers and AI…
Added 2 months ago
F
Senior Security Engineer
Forma.ai
Toronto, ON
- Full-time
As a Senior Security Engineer, you will be a hands-on technical leader strengthening security across Forma's application, cloud infrastructure, development lifecycle, internal systems, and…
Added 2 months ago
X
Principal Software Engineer
Xello
Remote, Canada
- Full-time
- Remote
As our Principal Engineer, you'll be the visionary architect behind Xello's technological journey. Reporting directly to the VP of Engineering you will be tasked with crafting our long-term…

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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