
Senior Software Engineer – AI Native
Posted 1 day ago

Posted 1 day ago
This is a fully remote position, open to applicants in United States.
• Design, own, and deliver dependable, secure, scalable, and cost-effective software innovations across the VersatermOS platform and public safety product suite.
• Direct the design and architecture of intricate, scalable, secure, highly available, fault-tolerant, maintainable, and high-performance solutions.
• Manage high-impact projects from understanding user challenges to design, implementation, deployment, production support, and value assessment.
• Guide and mentor associate engineers, promoting effective coding practices and the efficient use of AI tools.
• Spearhead the adoption of AI development tools and methodologies; create shared practices, agent configurations, and illustrative examples.
• Collaborate with product managers, designers, customers, and other teams to deliver incremental business value leveraging customer feedback and data.
• Enhance performance and scalability; establish SLOs and monitoring/alerting systems.
• Engage in on-call responsibilities, lead critical incident responses, and conduct post-incident evaluations.
• Address complex technical challenges and implement automated testing, CI/CD quality gates, feature flags, staged rollouts, and rollback strategies.
• Utilize secure coding practices, threat modeling, dependency scanning, and least-privilege access to safeguard CJI and PII in accordance with CJIS standards.
• Review AI-generated code while establishing safe review, testing, and data-handling protocols.
• Monitor AI and industry trends, drive innovation, and enhance development processes, architecture, and product features.
• Participate in daily collaborations and retrospectives, breaking down complex tasks into manageable increments.
• Document code, system architectures, and technical workflows.
• Bachelor’s degree in Computer Science, Software Engineering, or a related discipline, or equivalent industry experience and training.
• Over 6 years of professional experience in software development.
• Advanced, hands-on experience with coding agents, specification-driven development, context engineering, AI-assisted testing and code review, as well as the discernment to validate AI outputs.
• Proven experience in leading a team through the adoption of new AI tools and methodologies.
• Advanced proficiency in one or more programming languages, including C#, Python, JavaScript, or similar.
• Profound understanding of software architecture, design patterns, SaaS principles, and scalable distributed systems.
• Experience in building and managing production systems with high availability requirements, including monitoring, incident response, and root cause analysis.
• Familiarity with DevOps and CI/CD practices, including Kubernetes, ArgoCD, and Terraform.
• Experience with automated testing, test-driven development, and various testing frameworks.
• Knowledge of secure development practices, encompassing OWASP Top 10, threat modeling, and secrets management.
• Strong leadership, communication, and collaboration skills; capable of working cross-functionally with both technical and non-technical stakeholders.
• Must be able to pass necessary background and security checks, including a fingerprint-based review under the FBI CJIS Security Policy.
• Must successfully complete a comprehensive, fingerprint-based background check and maintain required security clearances.
• Preferred qualifications include expertise in 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, experience in regulated industries, and familiarity with CJIS/SOC 2/StateRAMP/FedRAMP/NG911.
• Comprehensive benefits package.
• Certain roles may qualify for variable compensation, such as incentive plans or discretionary performance bonuses.
• Accommodations are available upon request at all stages of the recruitment process.
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