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Added 50 mins ago
Director Engineering
Redwood Software
Canada
Partner closely with Product, Architecture, DevOps, Security and other cross-functional teams to deliver business-critical capabilities.
Added 1 hour ago
Industrial Software Validation|
Husky Technologies
Bolton, ON
Full-time
Experience with Agile/Scrum practices and Azure DevOps tools
Added 2 hours ago
Sr. Automation QE
Tata Consultancy Services
Toronto, ON
$90,000 to $110,000 CAD / year
Full-time
Integrate automated tests into CI/CD pipelines using Jenkins, GitHub Actions, Azure DevOps, or equivalent platforms.
Added 2 hours ago
Java Backend Developer
LTM
Mississauga, ON
Full-time
…integration with frontend and other services Collaborate with DevOps teams to support CICD pipelines and automate deployments Troubleshoot and resolve production issues to maintain high…
Added 2 hours ago
Salesforce Technical Lead
Capgemini
Montreal, QC
$120,000 to $130,000 CAD / year
…Salesforce Development, Platform Events, Salesforce Flow, CI/CD, DevOps,…
Added 2 hours ago
Salesforce Technical Lead
Capgemini
Toronto, ON
$120,000 to $130,000 CAD / year
Establish development standards, DevOps practices, CI/CD processes, and governance frameworks.
Added 3 hours ago
Développeur .NET Senior
CGI
Montreal, QC
Full-time
Collaborer étroitement avec les équipes QA, UX/UI et DevOps.
Added 3 hours ago
Senior Salesforce Developer
CGI
Halifax, NS
Full-time
CGI is seeking an experienced Senior Salesforce Developer to join our growing Salesforce practice. In this role, you will design, develop, and deliver scalable Salesforce solutions that…
Added 3 hours ago
Automation Tester (Python & Playwright)
Cognizant
Toronto, ON
$60,000 to $90,000 CAD / year
Full-time
Integrate automated test suites into CI/CD pipelines (Jenkins, GitLab CI, Azure DevOps, etc.)
Added 3 hours ago
DevOps Consultant - Red Hat OpenShift
CGI
Halifax, NS
Full-time
CGI is seeking an experienced DevOps Consultant to join our growing Cloud Engineering team. In this role, you will support the modernization of enterprise cloud infrastructure by designing,…
Added 3 hours ago
Software Developer
Autodesk
Toronto, ON · ON · BC · AMER - Canada - Ontario - Toronto - University Ave
Full-time
As a Software Developer you will work with the Digital Experience Platform Team members to build applications that help Autodesk customer experience journey.
Added 4 hours ago
SRE Consultant
Tata Consultancy Services
Toronto, ON
$90,000 to $110,000 CAD / year
Full-time
Experience in IT delivery, operations, reliability, DevOps, or platform engineering roles.
Added 4 hours ago
Core Network as a Service Test Developer
Ericsson
Ottawa, ON
Full-time
· Work in a team using Lean, Agile and DevOps methodologies and tooling.
Added 4 hours ago
Node.js API Developer , Banking API Modernizatio (35909)
Myticas Consulting
Toronto, ON
Contract
We are seeking an experienced Node.js API Developer (AWS) to support a major Canadian financial institution’s Digital Core modernization initiative.
Added 4 hours ago
Oracle Cloud Architect
Provincial Health Services Authority
Burnaby, BC
Temporary
…a key position seeking experience in cloud infrastructure, DevOps, platform operations, technical architecture, or related IT disciplines. Oracle Cloud experience is an asset, as well as…
Added 4 hours ago
Platform Engineer/ Financial
Motion Recruitment
Toronto, ON
Contract
…and platform modernization. The role is focused on improving developer productivity, strengthening delivery automation, and building scalable engineering capabilities across cloud-based…
Added 4 hours ago
Intern – Developer
iA Financial Group (Industrial Alliance)
Quebec, QC
Internship
…feel confident and secure about their future? As an Intern – Developer, you will play a key role in the analysis, development, integration, and quality assurance of our technological…
Added 5 hours ago
Team Lead, AWS Infrastructure/FinOps
Croesus
Laval, QC
Full-time
In addition to team management, your deep AWS expertise and experience with DevOps practices will allow you to contribute to technical deliverables. You will play a key role in deploying…
Added 5 hours ago
Sr. Software Engineer (Python & AWS)
Tata Consultancy Services
Toronto, ON
$90,000 to $110,000 CAD / year
Full-time
Collaborate with cross-functional teams to implement software delivery, cloud, GenAI, and DevOps processes.
Added 5 hours ago
Team Lead, AWS Infrastructure/FinOps
Croesus
Montreal, QC
Full-time
In addition to team management, your deep AWS expertise and experience with DevOps practices will allow you to contribute to technical deliverables. You will play a key role in deploying…
Added 5 hours ago
Software Architect
Croesus
Montreal, QC
Full-time
Understanding of DevOps principles and continuous integration (CI/CD).
Added 5 hours ago
Software Architect
Croesus
Laval, QC
Full-time
Understanding of DevOps principles and continuous integration (CI/CD).
Added 5 hours ago
Data Architect
Insight Global
Vancouver, BC
$80 to $90 CAD / hour
Contract
5+ years of experience in Data Engineering, with strong expertise in SQL and modern DevOps principles, including CI/CD, deployment automation, and data platform governance.
Added 5 hours ago
Senior Analyst, Technology Innovation (T & I) (Telework/Hybrid)
CBC/Radio-Canada
Montreal, QC
Full-time
Experience with DevOps practices and modern systems administration.
Added 5 hours ago
Lead Full Stack Developer
Royal Bank of Canada
Toronto, ON
Full-time
We’re seeking a Full Stack Developer to join the Residential Lending (Mortgage) technology team, embedded with DevOps/Support. You’ll own and stabilize lower environments, partner with…

Redwood Software

Director Engineering

Canada

Experience: 15+ years of experience in software/product engineering, with significant experience in engineering leadership roles.
Posting language: English
Posted: Sep 25, 2026

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Original job description

About the Role

We are looking for a Director of Engineering – AI & Full-Stack SaaS to lead the engineering strategy and execution for a highly scalable, enterprise-grade SaaS platform.

This role is ideal for a strong engineering leader who combines deep software engineering expertise, enterprise SaaS experience, cloud-native architecture, full-stack product development, and practical AI/GenAI adoption.

The successful candidate will lead multiple engineering teams, drive architectural and technical decisions, improve engineering velocity and quality, and help embed AI across the software development lifecycle and product engineering ecosystem.

Key Responsibilities

Lead and mentor multiple engineering teams responsible for building and delivering enterprise SaaS products.
Define and execute the engineering strategy, technical roadmap, architecture and development standards.
Drive development of highly scalable, secure, reliable and cloud-native SaaS applications.
Provide technical leadership across backend, frontend, APIs, microservices and distributed systems.
Drive adoption of AI/GenAI tools and capabilities across the engineering lifecycle, including development, testing, code quality, productivity and automation.
Partner closely with Product, Architecture, DevOps, Security and other cross-functional teams to deliver business-critical capabilities.
Establish engineering best practices around design, coding, testing, CI/CD, observability, performance and reliability.
Own engineering delivery, quality, scalability and operational excellence across multiple product areas.
Identify and resolve complex technical and architectural challenges.
Build a high-performing engineering culture focused on innovation, ownership, collaboration and continuous improvement.
Evaluate emerging technologies and identify opportunities to leverage AI and automation to improve engineering productivity and product capabilities.
Drive technical modernization and evolution of existing enterprise platforms.
Communicate technical strategy, risks, priorities and progress effectively to senior leadership and stakeholders.

Required Skills & Experience

15+ years of experience in software/product engineering, with significant experience in engineering leadership roles.
Proven experience leading large/multi-team engineering organizations.
Strong background in enterprise SaaS product development.
Excellent understanding of full-stack software engineering and modern application architecture.
Strong experience with Java / Spring Boot / or comparable enterprise backend technologies.
Strong understanding of microservices, APIs, distributed systems and cloud-native architectures.
Hands-on experience with AWS, Azure or GCP.
Experience building and scaling highly available, secure and resilient SaaS platforms.
Strong understanding of modern frontend technologies and full-stack development practices.
Experience with DevOps, CI/CD, automated testing and engineering productivity practices.
Demonstrated experience adopting or implementing AI/GenAI technologies within software engineering or enterprise products.
Strong architectural and technical problem-solving capabilities.
Excellent people leadership, stakeholder management and communication skills.

Good to Have

Experience with LLMs, Generative AI, AI agents or AI-powered developer tools.
Experience integrating AI into enterprise SaaS products.
Experience driving AI-assisted software development / AI-first SDLC
Experience with workflow automation, orchestration or enterprise automation platforms.
Experience working with mission-critical enterprise applications.
Experience managing geographically distributed engineering teams.
Strong exposure to product-led engineering environments.

Ideal Candidate

The ideal candidate is a technology and people leader, rather than an AI researcher alone. They should have a strong track record of building and scaling enterprise software teams and products, while also demonstrating the ability to identify practical AI opportunities and integrate AI into modern engineering and SaaS product development.

Candidates from enterprise SaaS, cloud platforms, automation, workflow, IT management, enterprise software and AI-enabled product companies would be particularly relevant.

If you like growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!

THE LEGAL BIT
Redwood is an equal opportunity employer. Redwood prohibits unlawful discrimination based on race, colour, religion, sex, gender identity, marital or veteran status, age, national origin, ancestry, citizenship, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member), sexual orientation, pregnancy or any other consideration made unlawful by regional or local laws. We also prohibit discrimination based on a perception that anyone has any of those characteristics or is associated with a person who has or is perceived as having any of those characteristics. All such discrimination is unlawful and will have a zero tolerance policy applied to it.

Redwood will comply with all local data protection laws, including GDPR when it comes to the handling and processing of personal data. Should you wish for us to remove your personal data from our recruitment database, please email us directly at Privacy@Redwood.com

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More about this job

Responsibilities

Lead and mentor multiple engineering teams to define and execute the technical roadmap for enterprise SaaS products. Drive the adoption of AI/GenAI technologies across the engineering lifecycle while ensuring high scalability, security, and operational excellence.

Requirements

Requires 15+ years of experience in software engineering with a strong background in enterprise SaaS and leadership roles. Candidates must possess deep expertise in full-stack development, cloud-native architectures, and modern engineering practices.

Skills

Engineering Leadership
Enterprise SaaS
Cloud-native Architecture
Full-stack Development
AI/GenAI Adoption
Java
Spring Boot
Microservices
Distributed Systems
AWS
Azure
GCP
DevOps
CI/CD
Stakeholder Management
Technical Strategy

Visa sponsorship

Not detected in the job text

Keywords

Director of Engineering
AI
GenAI
SaaS
Enterprise Software
Cloud-native
Java
Spring Boot
Microservices
APIs
Distributed Systems
AWS
Azure
GCP
DevOps
CI/CD
Observability
Scalability
Automation
LLMs
AI Agents
Technical Leadership
Product Engineering
Architecture
Performance
Reliability
Workflow Automation
Engineering Productivity
Modernization

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