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

KPMG

$100K — $130K *
Information Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • 7+ years of software solution design and delivery experience.
  • Demonstrated leadership in developer teams or technical delivery workstreams.
  • Strong proficiency in C# and .NET, along with another modern programming language or framework.
  • Experience architecting solutions on Microsoft Azure, including cloud-native services.
  • Knowledge of APIs, microservices, and secure development practices.
  • Familiarity with DevOps, CI/CD processes, and automated testing tools.
  • Fluency in both English and French is mandatory.

Responsibilities

  • Lead the delivery of software development workstreams for custom applications.
  • Provide hands-on technical leadership throughout the software development lifecycle.
  • Translate client business requirements into actionable technical delivery plans.
  • Review and ensure quality of architecture, code, and technical deliverables.
  • Mentor and guide junior and senior team members in engineering and client delivery.
  • Encourage the responsible use of AI in software development practices.
  • Collaborate with various teams and stakeholders to align project goals.

Benefits

  • Opportunities for career growth and professional development.
  • Access to cutting-edge technologies and tools in AI and software delivery.
  • Collaborative and fast-paced work environment encouraging innovation.
  • Diverse and inclusive workplace culture.
Full Job Description
Overview

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.

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