AI Native Senior Software Engineer

Versaterm•Mesa, AZ

About The Position

Versaterm is hiring an AI Native Senior Software Engineer to architect, own, and deliver reliable, secure, scalable, and cost-efficient software across its VersatermOS platform and broader public safety product portfolio. The role combines deep technical and architectural expertise with AI-native development practices, with accountability for customer and business outcomes from product idea through production. The engineer will help shape product direction, model effective AI-assisted software development, and guide other engineers in adopting these practices while maintaining the reliability and security public safety customers require. The role contributes across several technology stacks and uses tools and practices such as coding agents, spec-driven development, AI-assisted design and code review, automated test generation, and agent workflows in CI/CD. The engineer works with product managers, designers, customers, and engineering teams to deliver incremental value and uses customer feedback and data to guide development. Production ownership includes performance and availability, SLOs, monitoring and alerting, on-call participation, incident response, and post-incident follow-up. Security responsibilities include protecting Criminal Justice Information (CJI) and personally identifiable information (PII) in accordance with the CJIS Security Policy and internal standards. Candidates must pass a comprehensive fingerprint-based background check and maintain any required security clearances. The position requires a degree in Computer Science, Software Engineering, or a related field, or equivalent industry experience and training, and at least six years of professional software development experience. Versaterm describes compensation as dependent on factors including skills, experience, education, training, internal equity, market data, and business needs. Some roles may be eligible for variable compensation, such as incentive plans or discretionary performance bonuses, in addition to base salary and comprehensive benefits. Versaterm is an equal opportunity employer and offers accommodations during all stages of recruitment.

Requirements

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 using modern AI development tools and methods, including coding agents, spec-driven development, context engineering, AI-assisted testing, and AI-assisted code review; sound judgment in verifying AI output.
Genuine interest in 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 similar.
Deep understanding of software architecture, design patterns, SaaS delivery principles, and scalable distributed systems.
Experience building and operating 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 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.
Strong leadership, communication, and collaboration skills, including the ability to work 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; required clearances must be obtained and maintained.

Nice To Haves

Working knowledge of microservices, 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 costs and token usage across multiple AI models and providers.
Experience establishing 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 transcription and translation.
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 finance, healthcare, public safety, or government.
Familiarity with public safety and compliance standards such as CJIS, SOC 2, StateRAMP/FedRAMP, or NG911.

Responsibilities

Lead the design and architecture of complex, scalable software solutions that are secure, highly available, fault tolerant, maintainable, and performant.
Own high-impact projects from understanding user problems through design, implementation, deployment, and production support; verify that delivered work achieves expected value.
Mentor and guide associate engineers, including helping them improve coding practices and their use of AI tools.
Experiment with AI tools and approaches, identify effective practices for Versaterm products, and share practices, agent configurations, and examples with the team.
Collaborate with product managers, designers, customers, and other teams to deliver incremental business value and use customer feedback and data to inform priorities.
Optimize application performance and scalability, establish service level objectives (SLOs), and implement monitoring and alerting.
Support software in production, participate in on-call rotations, lead responses to critical incidents, and conduct post-incident reviews and follow-up.
Resolve complex technical issues and ensure software meets business requirements through automated test suites, CI/CD quality gates, feature flags, staged rollouts, and rollback practices.
Apply secure coding, threat modeling, dependency scanning, and least-privilege access practices; protect CJI and PII in accordance with CJIS requirements and internal standards.
Review AI-generated code carefully and help establish review, testing, and data-handling practices for safe AI-assisted development.
Stay current with industry trends, tools, and technologies, particularly in AI, and propose 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 to support knowledge sharing and future use by people and AI agents.
Perform other related duties assigned to support team, department, and organizational objectives.