AI Native Senior Software Engineer

Versaterm•Mesa, AZ

About The Position

Versaterm is a high-growth SaaS company building an integrated platform for public safety agencies across dispatch, law enforcement, forensics, courts, and related areas. The company is embedding AI into the workflows its customers rely on, with reliability and security as core priorities. The AI Native Senior Software Engineer will architect, own, and deliver software across the VersatermOS platform and broader product portfolio. The role combines deep technical and architecture expertise with AI-native development practices to build reliable, secure, scalable, and cost-efficient solutions. The engineer will lead by example, mentor colleagues, and help teams adopt effective AI-assisted ways of working while maintaining product quality and customer trust. This hands-on leadership role spans the product lifecycle, from understanding user problems and shaping solutions through implementation, deployment, production support, and evaluation of outcomes. It involves working with product managers, designers, customers, and engineering teams to deliver value incrementally, set service objectives, support production systems, and improve development practices and architecture. The position includes participation in on-call and requires successful completion and maintenance of applicable CJIS security screening and clearances.

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 with modern AI development tools and methods, including coding agents, spec-driven development, context engineering, and AI-assisted testing and code review; sound judgment in verifying AI-generated output.
Passion for AI-native development and experience leading a team in adopting new tools and ways of working.
Advanced proficiency in one or more programming languages such as C#, Python, or JavaScript.
Deep understanding of software architecture, design patterns, and principles for delivering SaaS.
Experience designing scalable and 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, 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.
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; required clearances must be obtained and maintained.

Nice To Haves

Working knowledge of microservices, SOA, monolith architectures, 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 establishing evaluations or other ways to measure AI quality and impact on the development process.
Experience with real-time media processing algorithms and machine learning for transcription and translation.
Expertise optimizing 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 CJIS, SOC 2, StateRAMP/FedRAMP, or NG911 standards.

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; assess whether delivered work produced expected value.
Mentor and guide associate engineers, including helping them improve coding practices and use AI tools effectively.
Lead the adoption of AI-assisted software development by evaluating tools and approaches and sharing effective practices, agent configurations, and examples.
Collaborate with product managers, designers, customers, and other teams to deliver small increments of business value and use feedback and data to guide future work.
Optimize application performance and reliability as systems scale; establish service level objectives and implement monitoring and alerting.
Support production systems, participate in on-call, lead responses to critical issues, and conduct post-incident follow-up.
Resolve complex technical issues and ensure software meets business requirements.
Build automated test suites, CI/CD quality gates, and safe release practices, including feature flags, staged rollouts, and rollback procedures.
Apply secure coding, threat modeling, dependency scanning, and least-privilege access; protect CJI and PII in accordance with CJIS policy and internal standards.
Review AI-generated code carefully and help establish practices for code review, testing, and data handling when using AI.
Stay current with industry and AI developments and propose improvements to development processes, architecture, and product features.
Participate in daily collaboration and retrospectives, and help the team break complex work into achievable increments.
Document code, system designs, and technical processes for people and AI agents.
Perform other related duties as assigned.