Senior Software Engineer - Backend

Evertz Microsystems Limited•Burlington, ON

4d•CA$70,000 - CA$100,000•Onsite

About The Position

We are seeking a highly motivated Senior Software Engineer to join our growing engineering team. This role offers an exciting opportunity to design and build scalable, production grade backend systems that power mission-critical applications within the broadcast and media technology domain. As a Senior Software Engineer, you will combine strong software engineering fundamentals with modern AI-assisted development practices. You will work on the evertz.io microservices and backend platform, building systems designed to handle concurrency, timing, and data consistency at scale.

Requirements

5+ years of software engineering experience in a strongly typed language; Java preferred (Python, Rust, Go, C++, or C# also considered)
Strong experience with Java, Spring Boot, and scalable backend development
Proficient in using AI coding tools (e.g., Claude, GitHub Copilot) and validating AI-generated code for correctness, security, and maintainability
Expertise in AWS, cloud-native applications, and microservices architecture
Hands-on experience with Lambda, API Gateway, DynamoDB, SQS, and serverless technologies
Familiarity with prompt engineering and MCP servers
Strong knowledge of concurrency, data structures, design patterns, and OOP
Experience building distributed systems, real-time processing platforms, or other large-scale backend services
Proven skills in production debugging, monitoring, and incident investigation
Comfortable contributing to large, complex codebases

Nice To Haves

Java ecosystem: Java frameworks, Gradle, JUnit, Mockito
Familiarity with CI/CD tools and workflows such as Jenkins, Git, and CodePipeline
Prior experience in broadcast, media, or real-time systems

Responsibilities

Design and develop backend microservices for the evertz.io SaaS platform
Design and deliver new features on the Mediator enterprise product — working across a large, mature Java codebase with full ownership from scoping to production
Investigate and resolve complex production issues in Mediator — tracing distributed failures, analysing logs, profiling performance bottlenecks, and leading post-incident investigations
Participate in architecture and technical design discussions with product owners, engineering leads, and stakeholders
Take features from requirement scoping through to production launch
Write high-quality, well-tested, maintainable code
Use AI-assisted development (Claude, Copilot) as a daily practice including structured prompting, iterative refinement, and AI-assisted debugging
Review, validate, and harden AI-generated code through testing, peer review, edge-case analysis, and verification of correctness, scalability, and thread safety
Collaborate with QA on automated log analysis and testing workflows