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.
Key Qualification 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
Additional Skills That Will Be Useful- 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
What You'll Do:- 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
Who We're Looking For- Passionate about solving complex backend engineering challenges
- Strong analytical, debugging, and problem-solving skills
- Curious about modern software engineering practices, including AI-assisted development
- Effective communicator who can collaborate across engineering, product, and QA teams
- Self-motivated with a strong sense of ownership and accountability
- Comfortable working in fast-paced, collaborative, and highly technical environments
What we Offer:- Employer funded benefits program
- Competitive total compensation package
- Work-Life Balance
- Employee assistance plan
- Employee Discount Platform
- Career Progression
- Casual Work Environment
- Social Events and Sports Teams
- Onsite Counsellor
Location: Burlington, Ontario
Hours: Monday to Friday, 40 hours per week
Vacancy: This is an existing position
Salary Range: $70,000 to $100,000+ per year, based on relevant experience
