Lead Software Engineer

Roy Jorgensen Associates•Washington, DC

8d•Remote

About The Position

Roy Jorgensen Associates, Inc. (Jorgensen) is a world leader in maintenance management. For over 65 years Jorgensen has provided a diverse range of facility and highway infrastructure, consulting, maintenance and management services. Our professionals are in the forefront as facility managers, maintenance engineers, trainers, assets managers and solution providers. Our firm is focused on the operations and maintenance of transportation and public works infrastructure assets. Our maintenance operations is comprised of professional engineers, certified quality control inspectors, and experienced maintenance technicians with proficiency developing and executing highway infrastructure maintenance contracts throughout the United States. Our system approach to maintenance management is unparalleled in our industry. We know how to identify and implement innovative solutions for our client's toughest challenges. General Summary of the Position: The Lead Software Engineer is directly responsible for the technical leadership and delivery of the Firm's next-generation Computer Maintenance Management System (CMMS) and its supporting infrastructure. The position requires performing a wide range of responsibilities related to software architecture, full-stack development, cloud infrastructure, data and system integration, security, and production support for enterprise applications that serve the Firm's highway and infrastructure maintenance operations. This role owns the architecture and end-to-end delivery of a three-layer geospatial (Esri ArcGIS), work-management, and agentic-AI platform, operating as part of a small, AI-native engineering team in which each engineer is equipped with AI coding tools as a force-multiplier rather than a side tool. The Lead Software Engineer sets and enforces engineering standards, mentors mid-level engineers, and coordinates directly with the Director of Engineering Technology and business stakeholders. It is required to have a technical background in computer science, software engineering, or a related field, or equivalent professional experience. The ideal candidate must have proven experience leading the design and delivery of secure, reliable, production software; sound judgment about when reliability and security outweigh interface polish; meticulous organizational skills; adaptive, analytical problem-solving capabilities; and the ability to build and mentor a high-performing engineering team. The position is remote-first and requires approximately 30% travel to project sites, field locations, and company or client offices.

Requirements

Technical background in computer science, software engineering, or a related field, and/or eight or more 6+ years of professional software engineering experience, including technical leadership or end-to-end ownership of a production system.
Deep expertise in cloud-native backend and data engineering (e.g., Python and PostgreSQL), with strong API design and distributed-systems fundamentals.
Demonstrated ability to design and operate secure, reliable systems - authentication/authorization, encryption, auditability, high availability, and disaster recovery.
Proven, fluent use of AI coding agents to accelerate real production work, with sound judgment in reviewing, directing, and verifying AI-generated output.
Experience owning CI/CD, cloud infrastructure, and production operations/on-call.
Real experience using AI coding tools to ship faster, and eagerness to push that capability further.
A versatile generalist able to move across backend, data, integrations, and enough front-end to be effective, prioritizing reliability and security over interface polish.
Experience with Amazon Web Services (AWS) or Google Cloud LLM/agent platforms (OpenAI, Anthropic, Google Gemini, etc.).
Strong communication, mentoring, and leadership abilities; strong oral and written skills.
Creative and innovative team player with a positive attitude and strong work ethic.
Speak, read, write, and comprehend the English language.
Maintain company standards for background checks (i.e., criminal record, driving record, and controlled substance/drug testing).
Knowledge and ability to adapt to the latest technology, including smartphones and applications.

Nice To Haves

Highway, infrastructure, utilities, or field-operations domain experience preferred.

Responsibilities

Own end-to-end architecture of the CMMS platform and inter-layer contracts (APIs, events, and data model)
Technology selection (i.e. option and gap analysis) and build-vs-buy decisions
Deliver production code across the fullstack
Establish and own CI/CD pipelines, environments, and zero-downtime deployments
Provision and operate cloud compute resources (e.g. AWS, GCP)
Monitor and manage cloud, compute, and AI-inference costs against budget; identify and drive cost-optimization opportunities.
Integration with Esri ArcGIS, JD Edwards (ERP), SharePoint, and SSO
Design and oversee the agentic AI layer and model integration into ISD operations
Develop video/LiDAR AI inference model lifecycle
Own authentication/authorization, encryption, audit logging, and DOT/FHWA regulatory alignment
Set and enforce testing, performance (p95/p99), and reliability standards, recovery procedures, and system backups.
Establish and lead the production support and on-call practice
Maintain architecture, API, and operational documentation
Recruit, mentor, and develop mid-level engineers; conduct performance reviews
Lead by example when conducting business for the company (Professional, Responsive, and Quality) and communicate these values to team members at all levels.
Continue building the company's reputation by recruiting, developing, retaining, and rewarding a talented engineering workforce.
Adhere to test driven development to ensure safety and security
Set the standard for effective, responsible use of AI coding tools as a core part of the team's daily workflow.
Manage the annual Career Evaluations for direct reports.
Participate in Monthly Financial Review discussions with senior management, reviewing engineering and infrastructure cost performance.
Coordinate training and development of engineering staff.
Participate in required training.
Be a dependable and reliable member of the team.
Show initiative; seek out work and get the job done without being told.
Communicate clearly with the Director of Engineering Technology and other team members.
Always safeguard the confidentiality and integrity of company and client data.