Senior Software Engineer, AI Native

This is a fully remote position, open to applicants in Canada.

📋 Description

• Design, own, and deliver reliable, secure, scalable, and cost-effective software across the VersatermOS platform and the public safety product portfolio.

• Lead the design and architecture of intricate software solutions.

• Take ownership of high-impact projects, from comprehending user challenges to design, implementation, deployment, and production support.

• Mentor junior engineers and facilitate the adoption of AI tools and development methodologies.

• Spearhead experimentation with AI tools, agent configurations, and collaborative engineering practices.

• Collaborate with product managers, designers, customers, and various teams to provide incremental business value.

• Enhance application performance and scalability; set SLOs, monitoring, and alerting.

• Engage in on-call duties, lead critical incident responses, and conduct post-incident analyses.

• Address complex technical challenges and implement automated testing, CI/CD quality gates, feature flags, staged rollouts, and rollback strategies.

• Utilize secure coding practices, threat modeling, dependency scanning, least-privilege access, and CJIS/PII protection.

• Review AI-generated code and create safe AI review, testing, and data-handling protocols.

• Monitor AI and industry trends, foster innovation, and enhance development processes, architecture, and product features.

• Participate in daily collaborative efforts and retrospectives.

• Document code, system designs, and technical workflows.

⛳️ Requirements

• Bachelor’s degree in Computer Science, Software Engineering, or a related field, or equivalent industry experience and training.

• Over 6 years of professional software development experience.

• Advanced hands-on experience with contemporary AI development tools and methodologies, including coding agents, spec-driven development, context engineering, AI-assisted testing, and AI-assisted code review.

• Proven experience leading a team in the adoption of new AI tools and workflows.

• Advanced proficiency in C#, Python, JavaScript, or comparable programming languages.

• In-depth understanding of software architecture, design patterns, SaaS principles, scalable systems, and distributed systems.

• Experience in building and maintaining production systems with high availability requirements, monitoring, incident response, and root cause analysis.

• Familiarity with DevOps and CI/CD practices, including Kubernetes, ArgoCD, and Terraform.

• Experience with automated testing, test-driven development, and testing frameworks.

• Knowledge of secure development practices, including OWASP Top 10, threat modeling, and secrets management.

• Excellent leadership, communication, and collaboration skills.

• Ability to pass mandatory background and security screenings, including the fingerprint-based FBI CJIS Security Policy check.

• Must be legally authorized to work in Canada.

• Must successfully obtain and maintain a Government of Canada Reliability security clearance.

• Asset qualifications include experience with microservices, SOA, monolith, REST, RPC, SQL, NoSQL, AI harnesses, MCP servers, knowledge graphs, multi-agent workflows, AI model cost/token management, AI evaluations, real-time media processing, machine learning, and performance optimization.

• Experience in finance, healthcare, public safety, or government is an asset.

• Familiarity with CJIS, SOC 2, StateRAMP/FedRAMP, or NG911 is an asset.

🏝️ Benefits

• Comprehensive benefits package.

• Variable compensation may include incentive plans or discretionary performance bonuses.

• Accommodations available upon request throughout all stages of the recruitment process.

• Commitment to equal opportunity, equity, diversity, inclusion, and a barrier-free workplace.