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Open nowPosted 119 days ago

Manager, Software Delivery Developer - Gen AI and AI-Accelerated Modernization

KPMG468 open roles

Where
Montreal, Quebec, Canada
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Your applicationOpen nowManager, Software Delivery Developer - Gen AI and AI-Accelerated ModernizationKPMG · Montreal, Quebec, Canada

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on KPMG's own form.

The reply lands in your private mailbox

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The clock on this job

Early applications get read.

11.8% of postings close within 7 days. Measured by our own scanner across the market. KPMG postings stay open a median of 2 days.

Share of postings closed within
  1. 2.1%1 day
  2. 4.4%3 days
  3. 11.8%7 days
  4. 18.6%14 days
  5. 35.6%30 days
  6. 45.1%60 days
This job: posted 119 days ago

KPMG median: 2 days open

The posting

Overview

At KPMG in Canada, our people bring their unique perspectives to Canada’s most important challenges. Here, you can build momentum that reaches beyond our business, develop skills for the future, and take ownership of your career with support at every stage. Join a firm where your career can make a difference.

Our Gen AI and Software Delivery team helps clients modernize applications, accelerate delivery, and introduce responsible AI practices across the software development lifecycle.

As a Manager, Software Delivery Developer, you will combine hands-on technical leadership with team management and client delivery. You will lead development workstreams, guide architecture and engineering decisions, mentor developers, and help clients adopt modern software delivery practices supported by automation and Gen AI.

What you will do

  • Lead software delivery workstreams for custom applications, cloud-native platforms, integrations, APIs, and modernization programs.
  • Provide hands-on technical direction across design, development, testing, deployment, and production readiness.
  • Translate business needs into practical technical solutions, delivery plans, estimates, and team backlogs.
  • Review architecture, code, test strategies, release plans, and technical deliverables.
  • Coach and mentor senior consultants and consultants on engineering practices, technical problem solving, and client delivery.
  • Help teams use AI-assisted engineering practices responsibly across requirements, design, coding, testing, documentation, and support.
  • Collaborate with project managers, architects, product owners, designers, data teams, security teams, and client stakeholders.
  • Support proposal development, solution shaping, estimation, and statements of work.
  • Identify technical risks and drive mitigation plans with the team and client stakeholders.

What you bring to the role

  • 7+ years of experience designing, building, and delivering software solutions.
  • Experience leading developers or technical delivery workstreams in consulting, enterprise, or product environments.
  • Strong development experience with C# and .NET, plus one or more modern languages or frameworks such as Java, JavaScript/TypeScript, Python, or similar.
  • Experience designing and delivering solutions on Microsoft Azure, including Azure application, integration, data, DevOps, or cloud-native services.
  • Experience with Next.js is a nice-to-have.
  • Knowledge of APIs, microservices, event-driven architecture, integration patterns, databases, and secure development practices.
  • Experience with DevOps, CI/CD, automated testing, version control, observability, and release management.
  • Familiarity with AI-assisted development tools, Gen AI patterns, prompt engineering for delivery tasks, or AI-accelerated SDLC practices is an asset.
  • Strong communication skills with the ability to explain technical concepts to business and technical audiences.
  • Entrepreneurial spirit, strong sense of ownership, and ability to work in a fast-paced environment.
  • Fluency in French and english is required.
  • University degree in computer science, engineering, information systems, science, or a related field, or equivalent experience.

Applications must include

  • Resume
  • Cover letter

This position requires written and oral fluency in English because it involves interpretation and application of English standards, guidance, laws and regulations, servicing of English-speaking clients located across Canada and collaboration with English Speaking colleagues located outside of Quebec.

Providing you with the support you need to be at your best

Our Values, The KPMG Way

Integrity, we do what is right | Excellence, we never stop learning and improving | Courage, we think and act boldly | Together, we respect each other and draw strength from our differences | For Better, we do what matters

KPMG in Canada is a proud equal opportunities employer and we are committed to creating a respectful, inclusive and barrier-free workplace that allows all of our people to reach their full potential. A diverse workforce is key to our success and we believe in bringing your whole self to work. We welcome all qualified candidates to apply and hope you will choose KPMG in Canada as your employer of choice.

Adjustments and accommodations throughout the recruitment process

At KPMG, we are committed to fostering an inclusive recruitment process where all candidates can be themselves and excel. We aim to provide a positive experience and are prepared to offer adjustments or accommodations to help you perform at your best. Adjustments (informal requests), such as extra preparation time or the option for micro breaks during interviews, and accommodations (formal requests), such as accessible communication supports or technology aids, are tailored to individual needs and role requirements. You will have an opportunity to request an adjustment or accommodation at any point throughout the recruitment process. If you require support, please contact KPMG’s Employee Relations Service team by calling 1-888-466-4778.

AI Usage

We embrace the use of artificial intelligence (AI) to enhance the candidate experience and streamline our recruitment processes. AI tools may help with organizing applications or surfacing relevant qualifications. However, no hiring decisions are made using AI. Every hiring decision is made by our hiring managers and recruitment professionals, who are equipped with training that empowers them to use these tools responsibly. AI technologies used in our recruitment process undergo detailed risk assessments, including security and privacy requirements, that align with KPMG’s Trusted AI framework.

We believe technology should empower human judgment, not replace it. It’s one of the many ways we’re delivering on our vision of being a technology-first, people-driven firm.

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