Platform Engineer (Full-Stack Generalist)

Job Description:

Essential Job Functions:
• Develop, maintain, and enhance shared platform libraries and reusable components that support multiple applications, services, and AI-enabled solutions.
• Design and implement cross-functional features spanning backend services, frontend applications, and AI agent ecosystems to ensure seamless platform integration.
• Define and execute comprehensive testing strategies, including unit testing, integration testing, and end-to-end validation to ensure platform reliability and quality.
• Improve developer productivity by enhancing local development environments, technical documentation, debugging tools, and engineering best practices.
• Rapidly prototype and iterate innovative AI agents, user interfaces, forms, and mini-applications using vibecoding frameworks and reusable platform tooling.
• Support software release management activities, including version control, environment promotion processes, deployment validation, and production readiness reviews.
• Monitor, troubleshoot, and resolve production incidents across platform components while contributing to continuous service improvement and operational excellence.
• Collaborate with engineering, product, and business teams to deliver scalable, secure, and high-quality technology solutions.

Basic Qualifications:
• Bachelor's degree in Computer Science, Software Engineering, Information Technology, or equivalent combination of education and experience.
• Typically, 3+ years of professional experience in full-stack software development using Python and modern JavaScript/TypeScript frameworks.
• Hands-on experience developing both backend services and frontend applications using technologies such as FastAPI, Next.js, React, or equivalent frameworks.
• Strong understanding of software testing methodologies and experience with testing frameworks such as pytest, Jest, Playwright, or similar tools.
• Familiarity with Docker containerization, CI/CD practices, and Kubernetes fundamentals within cloud-native environments.
• Demonstrated ability to quickly learn and adopt new development frameworks, tools, protocols, and emerging technologies.
• Working knowledge of AI and Large Language Model (LLM) concepts, including agent architectures, prompt engineering, and external tool integration patterns.
• Strong debugging, troubleshooting, and incident response capabilities in production environments.
• Experience contributing to collaborative software development processes using modern version control and DevOps practices.

Other Qualifications:
• Experience working within platform engineering, developer productivity, or internal tooling teams is a plus.
• Familiarity with AI agent platforms, orchestration frameworks, and modern application integration architectures is preferred.
• Strong analytical thinking, problem-solving, and decision-making skills.
• Excellent communication and collaboration abilities in cross-functional team environments.
• Relevant certifications in Software Development, Cloud Technologies, DevOps, Artificial Intelligence, or related disciplines are a plus.
• Passion for continuous learning, innovation, and improving engineering efficiency across the software development lifecycle.

At DXC Technology, we believe strong connections and community are key to our success. Our work model prioritizes in-person collaboration while offering flexibility to support wellbeing, productivity, individual work styles, and life circumstances. We’re committed to fostering an inclusive environment where everyone can thrive.

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