Senior Software Engineer - Backend

Evertz; Burlington; On-site; CAD 70,000 - 100,000; Full time

Benefits offered by this job

Employer funded benefits program

Competitive total compensation package

Onsite Counsellor

Social Events and Sports Teams

Work-Life Balance

Job summary

Evertz in Burlington is seeking a Senior Software Engineer to design and develop scalable backend systems for their evertz.io platform. You will leverage your strong Java skills and AI-assisted development practices to enhance production-grade systems.

The ideal candidate will have over 5 years of experience, expertise in AWS and microservices architecture, and a passion for solving complex engineering challenges.

This role offers a competitive salary range from $70,000 to $100,000+ based on experience, along with a comprehensive benefits program.

Qualifications

• 5+ years of software engineering experience in a strongly typed language; Java preferred.
• Strong experience with scalable backend development.
• Proficient in using AI coding tools and validating AI-generated code.

Responsibilities

• Design and develop backend microservices for the evertz.io SaaS platform.
• Investigate and resolve complex production issues in Mediator.
• Write high-quality, well-tested, maintainable code.

Skills

Software engineering experience

Java

Spring Boot

Microservices architecture

AWS

Production debugging

AI coding tools

Concurrency knowledge

Tools

Lambda

DynamoDB

API Gateway

Gradle

JUnit

Mockito

Job description

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 (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

Evertz is committed to equal opportunity employment. Accommodations are available throughout the recruitment process for applicants with disabilities — please notify HR when scheduling your interview.