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Senior Devsecops Engineer Jobs in Toronto, ON (NOW HIRING)

Td

Director, Data Platform Engineering

Toronto, ON · On-site

CA$165K - CA$200K/yr

Drive engineering excellence through adoption of DevSecOps, CI/CD, automated testing, observability, reliability engineering, and platform engineering practices. * Act as the senior escalation point ...

New

Levio

AI Data Protection Architect

Toronto, ON · Hybrid

This senior role ensures that privacy and data protection requirements are embedded into systems ... Ensure privacy requirements are integrated into SDLC, DevSecOps, and data engineering pipelines.

Td

Data Architect

Toronto, ON · On-site

CA$125K - CA$148K/yr

Drive adoption of DevSecOps, automated testing, data contract testing, and CI/CD for data pipelines. * Mentor Staff and Senior Data Engineers; grow architectural thinking across the team. Enterprise ...

New

Aviso Wealth

Solution Architect

Toronto, ON · On-site

Bachelor's degree in Business Administration, Computer Science, Engineering, Information Technology ... senior executives, enterprise architects, IT leadership, and development teams. * 3+ years of hands ...

Aviso Wealth

Solution Architect

Toronto, ON · On-site

Bachelor's degree in Business Administration, Computer Science, Engineering, Information Technology ... senior executives, enterprise architects, IT leadership, and development teams. * 3+ years of hands ...

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Senior Devsecops Engineer information

See Toronto, ON salary details

$87.3K

$142K

$176.6K

How much do senior devsecops engineer jobs pay per year?

As of Aug 25, 2026, the average yearly pay for senior devsecops engineer in Toronto, ON is $141,976.00, according to ZipRecruiter salary data. Most workers in this role earn between $125,018.00 and $161,283.00 per year, depending on experience, location, and employer.

What is a Senior DevSecOps Engineer?

Senior DevSecOps Engineers are experienced IT professionals who integrate security practices into every phase of the software development and deployment process. They work at the intersection of development, operations, and security, ensuring that applications are secure, scalable, and efficiently delivered. Their responsibilities include automating security checks, managing infrastructure as code, overseeing compliance requirements, and mentoring teams on secure coding and deployment practices. Senior DevSecOps Engineers also evaluate and implement security tools, respond to incidents, and help create a culture of security within the organization.

What does a Senior DevSecOps Engineer do?

A Senior DevSecOps Engineer works closely with both development and security teams to embed security practices throughout the software development lifecycle. This collaboration often involves conducting threat modeling sessions, integrating automated security testing tools into CI/CD pipelines, and providing guidance on secure coding practices. Regular communication and joint problem-solving are key to ensuring that security measures do not hinder development speed, while still maintaining robust protection for applications and infrastructure. This role often acts as a bridge between teams, translating security requirements into actionable steps for developers and ensuring compliance with industry standards.

What are the key skills and qualifications needed to thrive as a Senior DevSecOps Engineer?

To thrive as a Senior DevSecOps Engineer, you need expertise in cloud infrastructure, automation, secure software development, and a strong background in cybersecurity, often backed by a degree in computer science or a related field. Familiarity with tools like Jenkins, Terraform, Docker, Kubernetes, and security frameworks such as NIST, as well as certifications like AWS Certified DevOps Engineer or CISSP, is highly valued. Strong problem-solving abilities, collaboration, and clear communication distinguish top performers in this role. These skills are essential to seamlessly integrate security into the development lifecycle, ensuring robust, scalable, and compliant systems.

What is the difference between Senior Devsecops Engineer vs Devsecops Engineer?

AspectSenior Devsecops EngineerDevsecops Engineer
CredentialsTypically requires 5+ years experience, certifications like CISSP, AWS, or AzureEntry to mid-level, often with similar certifications but less experience required
Work EnvironmentLeads security integrations, mentors teams, manages complex projectsSupports security automation, implements CI/CD security practices
Industry UsageUsed across tech, finance, healthcare, and enterprise sectorsCommon in startups, tech companies, and organizations adopting DevSecOps

The main difference lies in experience and responsibility. Senior Devsecops Engineers typically lead security initiatives and mentor teams, while Devsecops Engineers focus on implementing security within development pipelines. Both roles require similar certifications and are vital in organizations prioritizing security in software development.

What are the most commonly searched types of Devsecops Engineer jobs in Toronto, ON?

The most popular types of Devsecops Engineer jobs in Toronto, ON are:

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For Senior Devsecops Engineer jobs in Toronto, ON, the most frequently searched job titles are:

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The top searched job categories for Senior Devsecops Engineer jobs in Toronto, ON are:

What cities near Toronto, ON are hiring for Senior Devsecops Engineer jobs?

Cities near Toronto, ON with the most Senior Devsecops Engineer job openings:

Senior Devsecops Engineer jobs near you
Infographic showing various Senior Devsecops Engineer job openings in Toronto, ON as of August 2026, with employment types broken down into 93% Full Time, 3% Part Time, and 4% Contract. Highlights an 83% Physical, 8% Hybrid, and 9% Remote job distribution, with an average salary of $141,976 per year, or $68.3 per hour.

Lead Software Engineer, AI & Emerging Tech

Toronto, ON • On-site

CPP Investments
See more jobs at CPP Investmentsexternal

Full-time

Re-posted 15 days ago

Job description

Purpose.Performance. People.


Joining CPP Investments means joining one of the world's most admired and respected institutional investors to drive a single mandate: to deliver strong, sustainable returns for generations of Canadians.

With a long-term horizon and global reach, we deploy capital at scale across public and private markets. Our size, stability, and disciplined investment philosophy allow us to pursue complex opportunities and build enduring partnerships worldwide.

For our people, this means meaningful work with tangible impact, real opportunity, and collaboration with exceptional colleagues who value partnership and performance. Here,you'llcontribute to outcomes that matter alongside team members committed to excellence and shared success.


The Role


As a Lead Engineer for AI & Emerging Tech, you will drive AI platform enablement across the enterprise, you will drive the design, development, and deployment of next-generation tech and AI-powered solutions that unlock business value across the organization. This is a hands-on, leadership role, where you will code, architect, pilot and build robust solutions, mentor engineers, and push the boundaries of what's possible with AI, AWS cloud, and emerging technologies.
You'll partner with cross-functional teams like Information Security, Engineering, Risk, Legal and Compliance teams to define and agree on AI platform controls, implement those controls through configuration and code changes that make AI capabilities usable in a controlled enterprise environment. The ideal candidate is a senior engineer passionate about coding, platform enablement with deep expertise in python, emerging tech, cloud infrastructure, and AI/ML -and thrives in a fast-paced, exploratory environment.


The Team


As a Lead Software Engineer, you will guide and participate in building, enablingand supporting value-add technology solutions,AI tools andproducts. You will also demonstrate leadership and drive engineering excellence within your team and influence the same across the Technology & Data department.

Accountabilities

  • Lead and actively contribute toenable upcoming AI features and products for the organization, onboarding users/teams and use cases onto enterprise AI platforms (e.g. OpenAI, Gemini,Anthropic, Amazon Bedrock, LLM gateways, and agentic frameworks).

  • Coordinate with cross-functional stakeholders - Information Security, Risk, Compliance, Legal, and business teams - to review, negotiate, and agree on platform controls and guardrailsfor implementation.

  • Design, build, and maintain scalable Gen AI platform capabilities, including LLM pipelines, agentic workflows, MCP integrations, and Graph/RAG architectures, using clean, maintainable Python and AWS-native tooling.

  • Implement cloud-native solutions using AWS services such as EKS, Lambda, Fargate, Glue, and Athena.

  • Optimize performance of AI products, Drive continuous learning and experimentation with cutting-edge Gen AI methods, frameworks, APIs, and toolchains.

  • Act as a subject matter expert (SME) on Gen AI technologies and help shape the organization's AI roadmap.

  • Own end-to-end delivery of platform enablement initiatives; manage timelines, deliverables, and milestones using Agile practices (Scrum/Kanban).

  • Advice, maintain, monitor and support AI platform and product users.

What you bring

  • Bachelor's degree in computer science, engineering, or a related field; advanced degrees or certifications are an asset.

  • 6+ years of progressive experience in engineering roles, including at least 1-2 years leading emerging tech or AI initiatives.

  • Experience in:

  • Gen AIplatforms,models (ChatGPT/Codex, Claude, Gemini, Copilot) and prompt engineering techniques

  • Hands-on experience implementing controls through configuration and code: IAM/access policies, guardrails, logging and audit trails, quota/rate limiting, and network/data-protection controls.

  • Agentic AI, MCP, and Graph/RAGarchitectures

  • Gen AI Framework (Amazon Bedrock, LangChain, LlamaIndex, Hugging Face, PandsAI)

  • Web application development using Next.js, React,TypeScript/JavaScript

  • AWS cloud services (EC2, ELB/GLB/NLB, EKS, Fargate, Lambda, Athena, Glue, Lake Formation)

  • Infrastructure as Code (Puppet, Terraform, Docker) and containerized deployments

  • ETL orchestration using Apache Airflow/DAGs

  • Vector/Graph databases (Weaviate, Milvus, PGVector, Neo4J, Neptune) and query optimization

  • Python programming (NumPy, Pandas, Matplotlib, Boto3)

  • Automated testing frameworks (Ragas, Playwright, Zephyr, Selenium,)

  • Familiarity with SDLC best practices, DevSecOps, Agile Scrum/Kanban, and work management tools (JIRA, Confluence, JIRA Align).

  • Knowledge of LLM fine tuning techniques

  • Experience in BI tools like QuickSight, Tableau, and knowledge of financial markets and enterprise data systems


You are motivated to contribute to something larger than yourself, approach complex challenges with rigor, and hold yourself tohigh standardsin a collaborative, performance-driven environment.


We provide colleagues with cutting-edge AI tools, dedicated learning time, and practical support to help them deliver with greater impact.

Inclusion & Accessibility

CPP Investments is committed toequitableaccess to employment and building a workforce that reflects diverse talent and perspectives. If you require accommodation at any stage of the recruitment process, please let us know and we will work with you to meet your needs.

Attention: Protect Yourself from Fraud

CPP Investments is committed to a secure and transparent recruitment process. We will never ask candidates for payment or financial information at any stage of hiring. All legitimate opportunities are posted on our careers page, and communications will come from our applicant tracking system, Workday.


CPP Investments may use AI tools to help screen and assess applicants by analyzing resumes and applications for relevant skills and experience. These tools support, but do not replace, human decision-making.


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