Senior Software Engineer, AI Native

Versaterm

. Architect, own, and deliver reliable, secure, scalable, and cost-efficient software across the VersatermOS platform and public safety product portfolio .

Posted 11/9/2026full-timeRemote • CanadaSenior💰 CA$140,000 - CA$170,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in software architecture, AI development tools, and secure coding practices while leading teams to optimize performance and scalability in production systems. Proven ability to mentor engineers and drive innovation through collaboration and effective incident response.

Highest-signal resume keywords

Software ArchitectureAI Development ToolsC#, Python, JavaScriptDevOps and CI/CD PracticesSecure Development Practices

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

Software DevelopmentAI-Assisted TestingAutomated TestingTest-Driven DevelopmentMonitoring and Incident ResponseScalable SystemsDistributed SystemsPerformance OptimizationThreat ModelingDependency Scanning

Soft Skills

LeadershipCommunicationCollaborationMentoring

Tools & Technologies

KubernetesArgoCDTerraformCI/CDAI Tools

Certifications & Qualifications

Government of Canada Reliability Security ClearanceFBI CJIS Security Policy Check

Industry Keywords

Public SafetyHealthcareFinanceGovernmentCJISSOC 2StateRAMP/FedRAMPNG911

Tech Stack

Tools & technologies

Distributed SystemsJavaScriptKubernetesMicroservicesNoSQLPythonSQLTerraform

About the role

Key responsibilities & impact

Architect, own, and deliver reliable, secure, scalable, and cost-efficient software across the VersatermOS platform and public safety product portfolio
Lead design and architecture of complex software solutions
Own high-impact projects from understanding user problems through design, implementation, deployment, and production support
Mentor associate engineers and guide adoption of AI tools and development practices
Lead experimentation with AI tools, agent configurations, and shared engineering practices
Collaborate with product managers, designers, customers, and other teams to deliver incremental business value
Optimize application performance and scalability; establish SLOs, monitoring, and alerting
Participate in on-call, lead critical incident response, and conduct post-incident reviews
Resolve complex technical issues and implement automated testing, CI/CD quality gates, feature flags, staged rollouts, and rollback practices
Apply secure coding, threat modeling, dependency scanning, least-privilege access, and CJIS/PII protection
Review AI-generated code and establish safe AI review, testing, and data-handling practices
Track AI and industry trends, drive innovation, and improve development processes, architecture, and product features
Participate in daily collaboration and retrospectives
Document code, system designs, and technical processes

Requirements

What you’ll need

Degree in Computer Science, Software Engineering, or a related field, or equivalent industry experience and training
6+ years of professional software development experience
Advanced hands-on experience with modern AI development tools and methods, including coding agents, spec-driven development, context engineering, AI-assisted testing, and AI-assisted code review
Experience leading a team through adoption of new AI tools and ways of working
Advanced proficiency in C#, Python, JavaScript, or similar programming languages
Deep understanding of software architecture, design patterns, SaaS principles, scalable systems, and distributed systems
Experience building and running production systems with high availability requirements, monitoring, incident response, and root cause analysis
Experience with DevOps and CI/CD practices, including Kubernetes, ArgoCD, and Terraform
Experience with automated testing, test-driven development, and testing frameworks
Understanding of secure development practices, including OWASP Top 10, threat modeling, and secrets management
Strong leadership, communication, and collaboration skills
Ability to pass required background and security screening, 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 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
Experience in finance, healthcare, public safety, or government is an asset
Familiarity with CJIS, SOC 2, StateRAMP/FedRAMP, or NG911 is an asset

Benefits

Comp & perks

Comprehensive benefits offering
Variable compensation may include incentive plans or discretionary performance bonuses
Accommodations available upon request throughout all stages of the recruitment process
Equal opportunity, equity, diversity, inclusion, and barrier-free workplace