Top Software Engineer Jobs

Leads application architecture and technical delivery across development, testing, UAT, and production environments. Oversees application operations, troubleshooting, security, enhancements, integrations, releases, testing, documentation, incident management, and compliance. Provides technical direction to developers, coordinates with government stakeholders and vendors, supports audits and security remediation, and maintains system availability, performance, data transfers, backups, and operational readiness. The position is contingent upon contract award.

Leads a legacy systems programming team while owning the roadmap for AI-enabled modernization. Responsibilities include designing API-first, cloud-ready architectures; evaluating AI-assisted development tools; developing, testing, maintaining, and supporting business applications; improving integrations; tracking modernization KPIs; mentoring engineers; and communicating technical strategy to stakeholders. The role requires hands-on application development, technical leadership, architecture planning, production support, documentation, and occasional on-call support.

Leads software, full-stack, and platform engineering teams responsible for enterprise platforms and integration solutions. Oversees people development, staffing, projects, budgets, vendors, platform governance, security, compliance, and product roadmaps. Drives Salesforce and Azure initiatives, enterprise application integration, cloud, cybersecurity, data governance, DevSecOps, and digital transformation while aligning technology delivery with business and energy-industry objectives.

Design, architect, implement, and maintain React and TypeScript web applications. Develop responsive HTML/CSS pages and email templates optimized for SEO and Core Web Vitals. Write unit and integration tests, solve technical challenges, collaborate with the team, and take ownership of project delivery. Preferred experience includes Redux, React Query, Jest, Cypress, and SSR/SSG frameworks such as Next.js, Astro, or Remix.

Lead technical direction across multiple products and platforms while building shared AI, data, quality, and testing infrastructure. Define standards for AI-generated code, MCP integrations, responsible AI, security, and cloud-native modernization. Architect evaluation frameworks, regression systems, guardrails, and automated quality gates. Make build-versus-buy and high-stakes architectural decisions, establish operating rhythms and release criteria, mentor senior engineers, and communicate complex technical concepts to executives and partners.

Lead and coach a team of 3–5 engineers while contributing hands-on to system design, code reviews, development, deployment, and maintenance. Partner with Product and UX to deliver end-to-end features, including AI-powered capabilities. Shape technical direction, improve engineering practices, communicate complex problems clearly, and measure product value for physicians and patients.

General talent pool for students and recent graduates interested in future full-time, in-person technology opportunities at Truckstop’s Boise office. Potential areas include software engineering, data analytics, data engineering, cybersecurity, product, QA, technical operations, finance, sales, accounting, and legal. Applicants may be contacted by a recruiter when suitable openings become available.

Develop scalable cloud-first software solutions for public and private healthcare platforms. Enhance large-scale data workflows, ensure reliability, security, and regulatory compliance, evaluate technologies, and translate stakeholder needs into technical solutions. The role requires Java and Python development, AWS cloud expertise, relational and NoSQL database experience, automated CI/CD experience, and T3 and T5 Public Trust clearances. Preferred qualifications include Docker, healthcare standards, Agile development, test automation, and StateRAMP/GovRAMP experience.

Develops scalable applications that transform complex data into mission capabilities. Collaborates with data scientists and mission analysts to prototype, build, integrate, test, deploy, and maintain analytic tools in enterprise environments. Applies software development, data science, machine learning, distributed data processing, and Agile practices to deliver reliable applications and improve mission workflows.

Designs, develops, tests, troubleshoots, deploys, and maintains mission-critical software and backend services for the Air Force DMOC. Responsibilities include C++ and Python development, web applications, SQL databases, Bash automation, GitLab repositories and CI/CD pipelines, automated testing, configuration, documentation, and compliance with DoD security requirements.