Senior Software Development Engineer
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We are a team of passionate people, boldly building the future of sport and entertainment, together. From the ice to the pitch, the hardwood to the digital arena, we’re proud to be the driving force behind the Toronto Maple Leafs (NHL), the Toronto Raptors (NBA), Toronto FC (MLS), Toronto Argonauts (CFL) and development teams with the Toronto Marlies (AHL), Raptors 905 (NBA G League), Toronto FC II (MLS NEXT Pro League) and Raptors Uprising Gaming Club, the Toronto Raptors Esports franchise in the NBA 2K League.
We bring these teams – and world-class entertainment – to life at our iconic venues, including Scotiabank Arena, BMO Field, Coca-Cola Coliseum, Ford Performance Centre, BMO Training Ground, and OVO Athletic Centre. Off the field, we serve up elevated dining at e11even, Real Sports, and our signature club spaces like Hot Stove Club, ScotiaClub, and Platinum Club.
Through MLSE Foundation and MLSE LaunchPad, we use the power of sport to help youth facing barriers reach their full potential. Since 2009, we’ve invested more than $45 million into Ontario communities -
- and we’re just getting started.
Job Description
We are looking for a senior, hands-on software engineer with broad experience across software development, cloud infrastructure, DevOps, and developer tooling. You should be comfortable building production software while also improving the platforms, tools, and practices that enable other developers to work effectively. Core Software Engineering* 5+ years of professional software engineering experience, including experience designing, building, and operating production systems.
* Strong software development skills in one or more modern programming languages such as TypeScript/JavaScript, Python, or similar, with the ability to contribute to backend applications and services when required.
* Strong understanding of API design, distributed systems, authentication/authorization, databases, networking, and modern application architecture.
* Experience designing maintainable, reusable software components rather than solving problems only within a single application.
* Strong Git and software development fundamentals, including code review, testing, dependency management, release management, and debugging.
* Cloud & Platform Engineering
* Strong hands-on experience with AWS and designing, deploying, and operating cloud-native applications.
* Experience with containers and Kubernetes, including Docker, Kubernetes/EKS, Helm, ingress, configuration, secrets, scaling, and troubleshooting.
* Strong understanding of cloud networking, identity and access management, secrets management, observability, reliability, and production operations.
* Ability to evaluate infrastructure and application architectures for security, scalability, reliability, performance, and cost. CI/CD & Developer Experience* Strong experience designing and maintaining CI/CD pipelines, preferably using GitHub Actions or comparable tooling.
* Experience creating reusable build, test, deployment, and release workflows across multiple repositories or applications.
* Experience building developer tooling, application templates, reusable libraries, SDKs, CLIs, or internal platforms that reduce repetitive engineering work.
* Security & Production Readiness
* Working knowledge of secure software development practices, including IAM, secrets, dependency management, application security, network security, and least-privilege access.
* Experience working with Infrastructure, Cybersecurity, or other technical governance functions to move applications through architecture, security, and production-readiness reviews.
* AI-Enabled Software Development
* Practical experience using modern AI-assisted development tools such as Claude Code, GitHub Copilot, Codex, or similar tools as part of day-to-day software development.
* Strong interest in developing new approaches for integrating generative AI into the software development lifecycle, including development, testing, code review, documentation, security, and operational workflows.
* Ability to evaluate where AI/agentic workflows provide value and where traditional deterministic software, automation, or reusable libraries are more appropriate.
* Interest in building tooling and standards that allow both traditional engineers and AI-enabled/non-traditional developers to build software quickly and reliably.
* Understanding of the importance of model usage, token consumption, observability, and cost management as AI becomes a larger component of software development and production systems. Technical Leadership & Collaboration**
* Ability to take broad technical problems from discovery through prototype, implementation, productionization, and ongoing operation.
* Strong technical judgment and the ability to independently make implementation decisions with
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