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Software Development Manager

Job in Mississauga, Ontario, Canada
Listing for: United States Digital Space LLC
Full Time position
Listed on 2026-06-15
Job specializations:
  • Software Development
    DevOps, AI Engineer (Applied/Software), Software Architect, Cloud Engineer - Software
Job Description & How to Apply Below
It’s not a package. It’s a promise®.
As Canada’s leading integrated freight, package, and logistics provider, we’ve been helping promises get where they need to be for more than 60 years. How does the magic happen?  The journey starts with you . The places we go, the elements we brave, the promises we deliver –  it’s all possible because of our people.  So, whether you’re looking to build new skills, make an impact in your community, or inspire your team,  we go there  for you.

Description
Reporting into the Digital Channels Team within IT, the Software Development Manager will lead the end-to-end development of the Receiver Solutions Platform. This role is responsible for delivering modern, scalable, and intelligent customer-facing solutions that enhance visibility, personalization, and overall experience for the company customers.

This is a hands‑on technical leadership role requiring full stack expertise, strong architectural oversight, and the ability to lead by example. The successful candidate will operate as both a people leader and Dev Lead, while driving adoption of AI-enabled software development and testing practices across the team.

Responsibilities
Engineering Leadership & Delivery

Lead the end-to-end software development lifecycle, ensuring delivery of high-quality, scalable, and secure solutions

Act as a hands‑on Dev Lead, contributing to system design, code reviews, and development where necessary

Own delivery outcomes including quality, timelines, budget, and business value

Establish and enforce engineering best practices and development standards

Architecture & Technology Strategy

Lead application architecture and design in collaboration with Enterprise and Security Architects

Drive adoption of microservices architecture, API-first design, and distributed systems

Ensure solutions are cloud-native, scalable, and resilient using AWS technologies

Champion modern Dev Ops practices including CI/CD, automation, and monitoring

AI-Driven Development & Innovation

Act as a role model for AI adoption within engineering, embedding AI across the Software Development Life Cycle (SDLC)

Promote the use of AI-assisted coding tools to improve developer productivity, AI-driven test automation and quality engineering, and intelligent monitoring, debugging, and incident management

Identify and drive opportunities to integrate AI capabilities into customer-facing solutions

Team Leadership & Capability Building

Lead, coach, and develop a high-performing cross‑functional team (Developers, QA, Business Analysts)

Foster a culture of continuous learning, innovation, and AI-first thinking

Conduct code reviews, provide technical mentorship, and support career growth

Drive accountability, ownership, and engineering excellence across the team

Product & Stakeholder Collaboration

Partner with Product Management to define product vision, roadmap, and priorities

Translate business requirements into scalable technical solutions

Collaborate with stakeholders to ensure alignment and successful delivery of customer‑centric products

Technology Stacks and Expectations
Core Engineering Stack

Full stack engineering expertise

Backend:
Java (Java 21), Python

Frontend:
React, nice to have:
Angular, Next.js

APIs: RESTful services and microservices

Databases:
Postgres, Dynamo

DB (relational and No

SQL), nice to have: any No

SQL

Platforms & Practices

Microservices architecture

AWS cloud technologies and services:
Lambda Functions, SQS, SNS, API Gateway, Cloud Front, Monitoring and Observability

CI/CD pipelines and Dev Ops tooling (Git Hub, nice to have: Terraform)

Agile methodology and related delivery tools (Jira, Confluence)

AI-Enabled Engineering

Experience with or strong advocacy for AI-assisted development tools, AI-augmented testing and automation, AI-driven Dev Ops and observability practices

Qualifications
Basic Qualifications

Bachelor’s degree in Computer Science, Engineering, or a related technical discipline

6–10 years of software development experience, with strong full‑stack exposure

5+ years of experience leading a software development team

Proven ability to code, design, and lead simultaneously, operating as a hands‑on technical leader

Experience building…
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