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Versaterm

Public safety software for agencies

AI Native Senior Software Engineer

Software EngineeringPosted on Nov 9
Full-timeRemote in USANo salary listedRemote

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.
  • A genuine passion for AI-native development and experience leading a team through adoption of new tools and ways of working.
  • Advanced proficiency in one or more programming languages such as C#, Python, JavaScript, or a similar language.
  • 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 CI/CD practices, including continuous integration and continuous deployment, and tools such as Kubernetes, ArgoCD, and Terraform.
  • Experience with automated testing, test-driven development (TDD), and testing frameworks.
  • Understanding of secure development practices, such as 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.
  • Working knowledge of microservices, service-oriented architecture (SOA), monoliths, REST, RPC, SQL, and NoSQL.
  • Experience building and evaluating AI harnesses, MCP servers, knowledge graphs, multi-agent workflows, and other agentic tooling.
  • Experience managing cost 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.
  • Experience mentoring or coaching associate engineers and fostering a positive, collaborative team culture.
  • Experience in industries such as finance, healthcare, public safety, or government.
  • Familiarity with public safety and compliance standards such as CJIS, SOC 2, StateRAMP/FedRAMP, or NG911.
  • Compliance with the FBI Criminal Justice Information Services (CJIS) Security Policy is required; candidates must pass a comprehensive fingerprint-based background check, and required security clearances must be obtained and maintained.

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 the user's problem through design, implementation, deployment, and production support, and verify that delivered work achieves expected value.
  • Mentor and guide associate engineers, helping them develop their careers 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, determining what works for the products, and developing shared practices, agent configurations, and 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 scalability in production; set service-level objectives (SLOs) and implement monitoring and alerting to meet them.
  • Support software in production, participate in on-call, 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; prevent defects through automated test suites, CI/CD quality gates, and safe release practices such as feature flags, staged rollouts, and quick rollbacks.
  • Build security into development through secure coding, threat modeling, dependency scanning, and least-privilege access; protect Criminal Justice Information (CJI) and personally identifiable information (PII) in accordance with the CJIS Security Policy and internal standards.
  • Review AI-generated code as carefully as hand-written code; take ownership of shipped changes and help establish review, testing, and data-handling practices for 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.
  • Collaborate daily with team members and participate in retrospectives; help break down complex tasks 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

  • Experience building and evaluating AI harnesses, MCP servers, knowledge graphs, multi-agent workflows, and other agentic tooling.
  • Experience managing cost 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.
  • Experience mentoring or coaching associate engineers and fostering a positive, collaborative team culture.
  • Experience in industries such as finance, healthcare, public safety, or government.
  • 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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