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# Software Engineer IV

- **Company:** ModivCare
- **Location:** Denver, CO, United States
- **Experience:** Expert
- **Salary:** $116,700.0 - $160,400.0
- **Contract:** Permanent contract
- **Skills:** Clean Code Principles, Java (Programming Language), Application Programming Interfaces (APIs), Artificial Intelligence, Application Performance Management, Application Services, Microsoft Azure, C Sharp (Programming Language), Cloud Engineering, Software Quality, Computer Programming, DevOps, Programming Tools, Distributed Systems, Github, Information Systems Security Architecture Professional, Python (Programming Language), Log Analysis, Performance Tuning, Software Tools, Software Engineering, Systems Architecture, TypeScript, Pulumi, GitHub Copilot, Reliability of Systems, Event Driven Architecture, Information Technology, Maintaining Code, Cosmos DB, Terraform, Golang, Microservices
- **Published:** June 18, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=4dea18b9194ee643

## About the Role

Do you have experience in TypeScript?, Are you passionate about making a difference in people's lives? Do you enjoy working in a service-oriented industry? If so, this opportunity may be the right fit for you!

We are seeking a highly experienced Software Engineer IV to serve as a senior technical leader responsible for architecting and delivering complex, distributed systems while contributing to adoption of AI-assisted development tools and processes. This role combines deep expertise in system design with the ability to leverage modern AI-powered development tools to improve engineering productivity, code quality, and delivery speed. The ideal candidate will shape both system architecture and how engineering teams effectively integrate AI into their daily workflows., * Bachelor's degree in Computer Science, Engineering, or related field (or equivalent experience)

 * 8+ years of software engineering experience with strong system design expertise
 * Proven experience architecting and delivering complex, distributed systems
 * Experience building and operating solutions in Microsoft Azure environments
 * Hands-on experience using AI-assisted development tools (e.g., Codex, GitHub Copilot or similar)
 * Strong programming skills in one or more languages (e.g., C#, Java, Python, Go, TypeScript)
 * Deep understanding of microservices, APIs, and distributed systems
 * Experience with CI/CD pipelines (e.g., Azure DevOps, GitHub Actions)

Preferred Qualifications

 * Experience with rolling out AI-assisted development tools at scale within engineering organizations
 * Azure certifications (e.g., Azure Solutions Architect, Azure Developer)
 * Experience with Infrastructure as Code (e.g., Pulumi, Terraform)
 * Experience working in regulated environments (e.g. Healthcare, FinTech)

## Description

* Lead the architecture and design of complex, distributed systems
 * Define scalable, resilient, and secure architectures aligned with long-term business objectives
 * Design APIs, microservices, and event-driven systems using modern cloud-native patterns in Microsoft Azure
 * Conduct architecture reviews and enforce design standards and best practices
 * Identify and mitigate technical risks, bottlenecks, and scalability constraints

Software Development & AI Adoption

 * Design and implement high-quality, performant, and maintainable systems
 * Lead delivery of complex initiatives spanning multiple services and teams
 * Develop resilient solutions leveraging cloud-native capabilities (e.g., Azure App Services, Cosmos DB)
 * Solving highly complex technical problems requiring deep expertise and innovation
 * Drive adoption of AI-assisted software development tools (e.g., Codex, Spec-Kit, MCP servers) while maintaining code quality and security
 * Stay current on emerging trends in AI-assisted development, cloud-native architectures, and engineering productivity tools
 * Champion a culture of continuous improvement and technical excellence

System Reliability & Operational Excellence

 * Design systems with built-in observability using tools such as Azure Application Insights, and Log Analytics
 * Implement monitoring and alerting system health and performance
 * Lead performance optimization, capacity planning, and cost efficiency improvements
 * Participate in incident response and lead root cause analysis

Leadership & Collaboration

 * Collaborate across engineering, DevOps, QA, and product teams to define requirements and deliver projects
 * Partner with engineering leadership to integrate AI capabilities into the software development lifecycle
 * Mentor engineers in technical design, development best practices and effective use of AI development tools


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