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# Frontier Engineer (Open for remote)

- **Company:** Cognizant Technology Solutions
- **Location:** Phoenix, AZ, United States (Remote available)
- **Experience:** Expert
- **Salary:** $69,000 - $123,000
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Microsoft Azure, Cloud Computing, Cloud Engineering, Databases, Continuous Delivery, DevOps, Programming Tools, Graph Database, Human-Computer Interaction, Python (Programming Language), Node.Js, Systems Development Life Cycle, Software Engineering, Google Cloud, Spring Cloud, GitHub Copilot, ReactJS, Spring-boot, IT Architecture, Generative AI, Build Management, AngularJS, Claude, Model Context Protocol
- **Published:** November 5, 2026
- **Apply:** https://www.careerbuilder.com/job-details/frontier-engineer-open-for-remote-phoenix-az--860297f6-7092-4a45-863a-a8ed6d279f89

## About the Role

Software Engineering, Application Programming Interface (API), Software Development, Artificial Intelligence (AI), Software Development Lifecycle (SDLC), Cloud Computing, DevOps, Database Architecture, Cloud Applications, Scalable System Development, * 8+ years of professional software engineering experience, including hands-on experience applying Generative AI tools such as Devin, Claude, Codex, GitHub Copilot, or similar technologies to engineering activities.

 * Strong polyglot development experience with Java and Spring Boot plus modern technologies such as Angular, React, Node.js, and/or Python.
 * Strong experience designing, developing, and integrating APIs within modern distributed or cloud-native applications.
 * Hands-on expertise with Model Context Protocol (MCP), Retrieval-Augmented Generation (RAG) at scale, and grounding strategies, along with knowledge of knowledge graphs and ontology engineering.
 * Experience designing or developing cloud-native solutions using AWS, Microsoft Azure, and/or Google Cloud Platform.

These will help you stand out

 * Experience implementing CI/CD pipelines and DevOps practices within cloud-native engineering environments.
 * Hands-on database engineering experience.
 * Experience supporting or executing application migrations across Microsoft Azure, AWS, and Google Cloud Platform.
 * Experience applying Generative AI tools across development and testing activities.

We''re excited to meet people who share our mission and can make an impact in a variety of ways. Don''t hesitate to apply, even if you only meet the minimum requirements listed. Think about your transferable experiences and unique skills that make you stand out as someone who can bring new and exciting things to this role.

## Description

As a Frontier Engineer, you will make an impact by designing and delivering next-generation, AI-enabled applications and cloud-native solutions. You will apply Generative AI tools across the software development lifecycle while working across application development, APIs, cloud engineering, DevOps, databases, and AI architecture.

You will collaborate across engineering disciplines to build scalable solutions and accelerate application development and modernization across AWS, Microsoft Azure, and Google Cloud Platform environments.

Work model

This is an on-site role based on business requirements in Phoenix, AZ. Regardless of work arrangement, we support a healthy work-life balance through our wellbeing programs.

The working arrangements for this role are accurate as of the date of posting. This may change based on the project you're engaged in, as well as business and client requirements. Rest assured; we will always be clear about role expectations.

Important Disclaimer:

Please note: A few of our roles may require in-person interviews at Cognizant offices or client locations, depending on project or client needs.

In this role, you will:

 * Leverage Generative AI development tools such as Devin, Claude, Codex, GitHub Copilot, or similar technologies to accelerate software development, testing, and cloud-platform changes.
 * Develop and enhance scalable API and user interface solutions using technologies including Java, Spring Boot, Angular, React, Node.js, and Python.
 * Design and build cloud-native solutions across AWS, Microsoft Azure, and Google Cloud Platform, including CI/CD pipelines, DevOps capabilities, and database engineering.
 * Architect enterprise-scale AI agent solutions, including trust layers, grounding strategies, and cross-agent governance frameworks that support responsible AI adoption.
 * Work as a polyglot engineer across software development, quality engineering, cloud engineering, and database engineering to successfully deliver pilots and innovative technology solutions.