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Versaterm

Public safety software for agencies

AI Native Senior Software Engineer

Software EngineeringPosted on Nov 9
Full-timeRemote in Canada

About the Job

Requirements

  • A degree in Computer Science, Software Engineering, or a related field, or equivalent industry experience and training.
  • At least 6 years of professional software development experience.
  • Advanced hands-on experience delivering software with modern AI development tools and methods, including coding agents, spec-driven development, context engineering, and AI-assisted testing and code review, with sound judgment in verifying AI output.
  • Passion for AI-native development and experience leading a team through adopting new tools and ways of working.
  • Advanced proficiency in one or more programming languages such as C#, Python, or JavaScript, or similar languages.
  • Deep understanding of software architecture, design patterns, and principles for delivering Software as a Service (SaaS), and experience designing scalable and distributed systems.
  • Experience building and running production systems with high-availability requirements, including monitoring, incident response, and root-cause analysis.
  • Experience with DevOps and continuous integration/continuous deployment practices, including tools such as Kubernetes, ArgoCD, and Terraform.
  • Experience with automated testing, test-driven development, and testing frameworks.
  • Understanding of secure development practices such as the OWASP Top 10, threat modeling, and secrets management, and experience applying security controls in software and DevOps processes.
  • Ability to work cross-functionally with technical and non-technical stakeholders.
  • Ability to pass required background and security screening, including the fingerprint-based check required under the FBI CJIS Security Policy.
  • Candidates must be legally authorized to work in Canada and successfully obtain and maintain a Government of Canada Reliability security clearance; additional customer-contract security verification may be required.

Responsibilities

  • Lead the design and architecture of complex, scalable software solutions that are secure, highly available, fault tolerant, maintainable, and optimized for performance.
  • Own high-impact projects from understanding user problems through design, implementation, deployment, and production support, and verify that delivered work produces expected value.
  • Mentor and guide associate engineers to support their career growth and coding practices, including their use of AI tools; provide constructive feedback and assistance.
  • Lead how teams use AI to deliver software by trying tools and approaches, identifying what works for products, and turning effective methods into shared practices, agent configurations, and reusable examples.
  • Work with product managers, designers, customers, and other teams to deliver software in small increments of business value, using customer feedback and data to determine next steps.
  • Optimize application performance and production reliability at increased loads; set service level objectives and implement monitoring and alerting to meet them.
  • Support production systems, participate in on-call rotations, lead responses to critical issues, and conduct post-incident reviews to prevent recurrence.
  • Lead resolution of complex technical issues and ensure software meets business requirements; use automated test suites, continuous integration/continuous deployment quality gates, feature flags, staged rollouts, and rapid rollback to prevent or limit defects.
  • Apply secure coding, threat modeling, dependency scanning, and least-privilege access from the start; protect Criminal Justice Information and personally identifiable information in accordance with the CJIS Security Policy and internal standards.
  • Review AI-generated code carefully and own every shipped change; help establish review, testing, and data-handling practices that support safe AI-assisted development.
  • Stay current with industry trends, tools, and technologies, especially in AI, and drive improvements to development processes, architecture, and product features.
  • Participate in daily team collaboration and retrospectives, and help break complex work into achievable increments of value.
  • Document code, system designs, and technical processes for knowledge sharing and future reference by people and AI agents.
  • Perform other related duties as assigned to support team objectives, departmental needs, and organizational priorities.

Desired Qualifications

  • Working knowledge of microservices, service-oriented architecture, monolithic architecture, REST, RPC, SQL, and NoSQL.
  • Experience building and evaluating AI harnesses, Model Context Protocol servers, knowledge graphs, multi-agent workflows, and other agentic tooling.
  • Experience managing costs and token usage across multiple AI models and providers.
  • Experience setting up evaluations or other methods to measure the quality and impact of AI in the development process.
  • Experience with real-time media processing algorithms and machine learning for transcribing and translating information.
  • Expertise optimizing and fine-tuning large-scale applications for performance, scalability, and high availability.
  • Previous experience mentoring or coaching associate engineers and fostering a positive, collaborative team culture.
  • Experience in finance, healthcare, public safety, or government industries.
  • Familiarity with public safety and compliance standards such as CJIS, SOC 2, StateRAMP/FedRAMP, or NG911.

About the Company

Versaterm

Public safety software for agencies

Versaterm provides software tools and services for public safety agencies and first responders. Its products enable improved communication, data collection, and reporting to support day-to-day operations, incident response, and community engagements. The software works by integrating communications, data capture, and workflow features into tools that agencies can deploy to coordinate across teams and jurisdictions, with ongoing support to ensure reliability and alignment with user workflows. Versaterm differentiates itself through a focused portfolio that prioritizes user efficiency and equitable outcomes, strategic partnerships (such as with the Major Cities Chiefs Association), and a commitment to customer satisfaction. The company's goal is to help public safety agencies operate more efficiently while delivering fair, transparent outcomes for communities they serve.

Company size
501-1,000
Company stage
Not listed
Total funding
Not listed
Headquarters
Ottawa, Canada
Founded
1977

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