Senior Software Engineer – AI Native

Versaterm

. Architect, own, and deliver reliable, secure, scalable, and cost-efficient software innovations across the VersatermOS platform and public safety product portfolio .

Posted 11/9/2026full-timeRemote • United StatesSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in software architecture, secure coding practices, and AI-assisted development, with a strong focus on delivering scalable and reliable solutions. Proven ability to lead teams, mentor engineers, and optimize performance in production environments while adhering to compliance standards.

Highest-signal resume keywords

Software ArchitectureAI-Assisted DevelopmentDevOps PracticesSecure Coding PracticesLeadership and Mentoring

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

C#PythonJavaScriptAutomated TestingCI/CDKubernetesTerraformMicroservicesSQLNoSQL

Soft Skills

LeadershipCommunicationCollaboration

Tools & Technologies

ArgoCDAI ToolsTesting Frameworks

Certifications & Qualifications

CJIS Security Clearance

Industry Keywords

SaaS PrinciplesDistributed SystemsOWASP Top 10Regulated Industry ExperienceCJIS/SOC 2/StateRAMP/FedRAMP/NG911 Familiarity

Tech Stack

Tools & technologies

Distributed SystemsJavaScriptKubernetesMicroservicesNoSQLPythonSQLTerraform

About the role

Key responsibilities & impact

Architect, own, and deliver reliable, secure, scalable, and cost-efficient software innovations across the VersatermOS platform and public safety product portfolio
Lead design and architecture of complex, scalable, secure, highly available, fault-tolerant, maintainable, and high-performance solutions
Own high-impact projects from understanding user problems through design, implementation, deployment, production support, and value measurement
Mentor associate engineers and guide coding practices, including effective use of AI tools
Lead adoption of AI development tools and practices; develop shared practices, agent configurations, and examples
Collaborate with product managers, designers, customers, and other teams to deliver incremental business value using customer feedback and data
Optimize performance and scalability; establish SLOs and monitoring/alerting
Participate in on-call, lead critical-incident response, and conduct post-incident reviews
Resolve complex technical issues and implement automated testing, CI/CD quality gates, feature flags, staged rollouts, and rollback practices
Apply secure coding, threat modeling, dependency scanning, and least-privilege access to protect CJI and PII under CJIS standards
Review AI-generated code and establish safe review, testing, and data-handling practices
Track AI and industry trends, drive innovation, and improve development processes, architecture, and product features
Participate in daily collaboration and retrospectives; break down complex work into achievable increments
Document code, system designs, and technical processes

Requirements

What you’ll need

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 with coding agents, spec-driven development, context engineering, AI-assisted testing and code review, and judgment to verify AI output
Experience leading a team through adoption of new AI 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 principles, scalable and distributed systems
Experience building and running production systems with high availability requirements, monitoring, incident response, and root cause analysis
Experience with DevOps and CI/CD practices, including Kubernetes, ArgoCD, and Terraform
Experience with automated testing, test-driven development, and testing frameworks
Understanding of secure development practices, including OWASP Top 10, threat modeling, and secrets management
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 fingerprint-based check under the FBI CJIS Security Policy
Must successfully pass a comprehensive, fingerprint-based background check and maintain required security clearances
Asset qualifications include Microservices, SOA, Monolith, REST, RPC, SQL, NoSQL, AI harnesses, MCP servers, knowledge graphs, multi-agent workflows, AI model cost/token management, AI evaluations, real-time media processing, machine learning, performance optimization, mentoring, regulated-industry experience, and CJIS/SOC 2/StateRAMP/FedRAMP/NG911 familiarity

Benefits

Comp & perks

Comprehensive benefits offering
Some roles may be eligible for variable compensation such as incentive plans or discretionary performance bonuses
Accommodations available upon request throughout all stages of the recruitment process