Senior Release Engineer

Questrade Financial Group

Toronto

Hybrid

CAD 120,000 - 140,000

Full time

7 days ago
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Job summary

Questrade Financial Group in Toronto is seeking a Senior Release Engineer to own, optimize, and modernize CI/CD pipelines across C++ Linux microservices, .NET Core, Node.js, Python, and more. You will eliminate build friction, accelerate feedback, embed AI SDLC tooling, and ensure safe automated releases for active trading systems.

Requirements include 5+ years of software/DevOps experience with 3+ years in release engineering, and advanced expertise in GitLab CI, CircleCI or Jenkins, and

Qualifications

  • Bachelor’s degree in Computer Science, Software Engineering, or related field, or equivalent practical experience.
  • 5+ years of software/DevOps experience, with 3+ years in release engineering and CI/CD.
  • Deep knowledge of GitLab CI, CircleCI, or Jenkins for complex pipelines.

Responsibilities

  • Architect, standardize, and maintain modular CI/CD pipelines for polyglot codebases.
  • Optimize builds for native C++ (Linux) and multi-language microservices.
  • Automate Apigee deployment workflows and IaC using Terraform and Docker.
  • Embed AI SDLC tooling and automated security tests into PR checks.
  • Collaborate with enterprise platform teams to enforce governance and quality gates.

Skills

Release engineering
CI/CD pipelines
Build optimization
GitLab CI
CircleCI
Jenkins
Python
Bash
Go
Terraform
Docker
Apigee
CodeRabbit

Education

Bachelor’s degree in Computer Science or related

Tools

GitLab CI
CircleCI
Jenkins
Apigee
Terraform
Docker
Snyk
Semgrep
SonarQube
CodeRabbit

Job description

5700 Yonge St, North York, ON M2M 4K2, Canada

Job Description

Questrade Financial Group (QFG), through its companies - Questrade, Questbank, Questrade Wealth Management, Community Trust Company, Zolo, and Flexiti, provides securities and foreign currency investment, professionally managed investment portfolios, mortgages, real estate services, financial services and more. We use cutting-edge technology to help Canadians become much more financially successful and secure.

At QFG, we combine human-centric collaboration with AI-driven innovation to redefine financial services. The ideal candidate will be a catalyst for change, using AI to transform and deliver unparalleled customer experiences and shaping a future where AI empowers our teams to do their best work.

Join our diverse, inclusive, and hybrid workplace to unleash your creativity and nurture your curiosity without limits. If you share this sense of infinite possibility, come shape your future at QFG.

This job posting is for an existing vacancy

We’re looking for our next Senior Release Engineer Could It Be You?

This is a high-impact, hybrid release engineering role bridging global enterprise platform standards with the specialized technical needs of our high-speed brokerage systems. You will own, optimize, and modernize our CI/CD pipelines across a polyglot codebase—ranging from low-latency native C++ (Linux) microservices to Angular Micro-Frontends, .NET Core, Node.js, Python, and Apigee API gateways on GCP. Your mission is to eliminate build friction, accelerate compilation and feedback loops, embed modern AI SDLC and DevSecOps tooling, and ensure safe, automated releases for active trading systems.

CI/CD Pipeline Architecture & Polyglot Build Optimization:

Architect, standardize, and maintain modular CI/CD pipelines using GitLab CI / CircleCI / Jenkins tailored for high-throughput brokerage applications.

Implement advanced build caching (cache, distributed compilation, multi-stage Docker builds) to drastically cut compile times for native C++ (Linux) backend services.

Standardize dependency management and artifact publishing for C#, Node.js, and Python microservices into GCP Artifact Registry.

Build reusable pipeline templates to empower developer self-service while maintaining team-wide quality gates.

Angular Micro-Frontend (MFE) Delivery:

Design and execute independent release pipelines for Angular Micro-Frontends, enabling modular feature deployments without monolithic application rebuilds.

Automate deployment workflows to GCP Cloud Storage and Cloud CDN, managing dynamic version manifest updates and edge cache invalidation.

Apigee Proxy & GCP Release Automation:

Automate the complete lifecycle of Apigee API proxy bundles, including linting (apigeelint), automated integration testing, and promotion across Dev, Staging, and Production environments.

Coordinate deployment dependencies between Apigee API routing and backend microservices deployed on GKE (Google Kubernetes Engine) or Cloud Run.

Maintain Infrastructure as Code (Terraform) configurations associated with release triggers, pipeline execution roles, and environment provisioning.

DevSecOps, Quality Gates & AI SDLC Tooling:

Integrate AI-assisted code review tools (e.g., CodeRabbit, automated PR review bots) directly into code review workflows to accelerate PR throughput.

Embed automated static analysis (SAST) and dynamic security testing (DAST) tools (e.g., SonarQube, Snyk, Semgrep) into pull request checks.

Aggregate and parse unit/E2E test outputs (JUnit, Cypress, Playwright) to publish visual feedback directly into PR summaries and engineering dashboards.

Partner closely with the Enterprise Platform Team to adopt core global infrastructure, security baselines, and IAM policies while tailoring execution for brokerage needs.

Automate domain-specific release gating requirements, including financial compliance controls, change logs, and audit trails.

Track and continuously improve core DORA metrics (Deployment Frequency, Lead Time for Changes, Change Failure Rate, MTTR).

So are YOU our next Job Title? You are if you…

Education: Bachelor’s degree in Computer Science, Software Engineering, or a related quantitative engineering field (or equivalent practical experience).

Experience: 5+ years of software/DevOps engineering experience, with 3+ years dedicated to release engineering, CI/CD pipeline development, and build optimization.

CI/CD Platforms: Advanced expertise in configuring and maintaining pipelines in GitLab CI, CircleCI, or Jenkins.

Polyglot Build Ecosystems: Deep familiarity with build systems across compiled languages (C++ gcc/clang, C# .NET) and web/scripting stacks (Node.js, Python, Angular MFEs).

API Gateways: Demonstrated experience automating deployment and lifecycle workflows for Apigee API Gateway or similar API routing platforms.

Automation Scripting: Strong proficiency in Python, Bash, or Go for developing custom CLI automation tools and pipeline extensions.

IaC & Containers: Proficient with Terraform, Docker image optimization, layer caching, and container scanning.

AI & DevSecOps Tools: Experience integrating automated test dashboards, SAST/DAST tools (SonarQube/Snyk), and modern AI PR tools (CodeRabbit).

Mindset: Strong analytical and problem-solving skills with a developer-first mindset focused on improving developer velocity and platform safety.

Compensation Information:

Base salary range: $120,000-140,000

The final compensation package will be commensurate with the successful candidate's experience, skills, and geographic location (Canada). It includes a comprehensive benefits plan and a competitive incentive (bonus) program for Full-Time Permanent roles.

At Questrade Financial Group of Companies, with multiple office locations around the world, we are committed to fostering a diverse, inclusive and accessible work environment. This is an environment where individuals are treated with dignity and respect. Here, the unique skills and experience you bring will be valued. You will be supported and motivated, so that you can harness your unlimited potential. Our team reflects the diversity of the communities we serve and operate in. Having a collaborative and diverse team helps us push boundaries to bring the future of fintech into existence—not only for the benefit of our customers, but for those who build their career with us.

Questrade Financial Group of companies Applicant Tracking System utilizes artificial intelligence (AI) for application screening. The AI system operates on predetermined criteria, with final decisions subject to human review.

Candidates selected for an interview will be contacted directly. If you require accommodation during the recruitment/selection process, please let us know and we will work with you to meet your needs.

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