Required Qualifications
- 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 delivering software with modern AI development tools and methods, including coding agents, spec-driven development, context engineering, and AI-assisted testing and code review, along with good judgment on how to verify what AI produces.
- A genuine passion for AI native development and experience leading a team through the 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, and principles for delivering Software as a Service (SaaS). Experience in 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, continuous deployment, and tools like Kubernetes, ArgoCD, and Terraform.
- Experience with automated testing, test-driven development (TDD), and testing frameworks.
- Good understanding of secure development practices (for example 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 both 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.
Asset Qualifications
- Working knowledge of Microservices, SOA, Monolith, REST, RPC, SQL, NoSQL, etc.
- 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 ways 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 in optimizing and fine-tuning large-scale applications for performance, scalability, and high availability.
- Previous experience in 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.
Note: Due to the nature of our work with public safety agencies, this position requires compliance with the FBI's Criminal Justice Information Services (CJIS) Security Policy. Candidates must successfully pass a comprehensive, fingerprint-based background check. Please note that specific customer contracts may impose additional security verification requirements. Obtaining and maintaining all required security clearances is a condition of employment. For more information on CJIS security requirements, please visit the FBI's CJIS Security Policy Resource Center.
Versaterm is committed to fair and equitable compensation that is competitive, consistent, and aligned with the value each role contributes to our organization. The starting salary for this position will be dependent upon many factors, such as the successful candidate’s skills, experience, education, training as well as internal equity, market data, and business needs. In addition to base salary and our comprehensive benefits offering, some roles may also be eligible for variable compensation such as incentive plans or discretionary performance bonuses.
AI is central to how Versaterm builds and delivers solutions for our customers. Within Talent Acquisition, we use AI-enabled tools to support certain aspects of the recruitment process, helping our team work more efficiently and spend more time connecting with great talent. AI supports our work, but all hiring and employment decisions are made by people.