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# Platform Engineer

- **Company:** Comresource, Inc.
- **Location:** Columbus, OH, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Microsoft Azure, Cloud Engineering, Information Engineering, DevOps, Programming Tools, Software Engineering, Google Cloud, Cloud Platform System, Retrieval-Augmented Generation, Large Language Models, Prompt Engineering, Agentic-AI, Containerization, AI Platforms, Kubernetes, Information Technology, Programming Languages
- **Published:** October 1, 2026
- **Apply:** https://www.juju.com/job/16_994ea8ee

## About the Role

* Bachelor's degree in Information Technology, Computer Science, Computer Information Systems, Software Engineering, Mathematics, Statistics, or a related field, or equivalent work experience.
 * 5-8 years of experience in platform engineering, software engineering, cloud engineering, DevOps, automation engineering, or related disciplines.
 * Strong hands-on experience with modern programming languages, cloud-native technologies, automation frameworks, and engineering platforms.
 * Proven experience designing and delivering scalable platform solutions, shared services, automation frameworks, reusable components, developer tools, and self-service capabilities.
 * Demonstrated experience leading technical initiatives and driving adoption of engineering best practices across teams.
 * Must hold one of the following certifications: AWS Cloud Practitioner, Microsoft Azure Fundamentals, or Google Cloud Digital Leader.

Desired:

 * Relevant industry certifications in cloud platforms, DevOps, platform engineering, AI/ML, data engineering, or related technologies.

## Description

Platform Engineering & Platform Capabilities

 * Lead the design and evolution of scalable engineering platforms, products, and shared services.
 * Architect reusable APIs, SDKs, frameworks, and self-service capabilities.
 * Establish platform standards, patterns, and engineering practices.
 * Drive platform modernization and cloud-native adoption.
 * Implement governance guardrails for secure, compliant software delivery.

Intelligent Automation & AI-Enabled Engineering

 * Lead development of intelligent automation solutions across the AI-Driven Development Lifecycle.
 * Architect scalable automation frameworks, AI services, and platform capabilities.
 * Drive adoption of automation-first and AI-assisted engineering practices.
 * Lead implementation of AI agents and intelligent workflows.

AI Engineering & Agent Platforms

 * Lead development of AI-powered engineering capabilities, autonomous workflows, and developer experiences.
 * Architect and implement AI agents, orchestration frameworks, and agent-based solutions.
 * Integrate LLMs, prompt engineering, context engineering, MCP, and RAG capabilities.
 * Define standards and best practices for AI-enabled engineering.

Developer Experience & Self-Service Engineering

 * Lead initiatives that improve developer experience through self-service platforms and enablement capabilities.
 * Build reusable templates, accelerators, and automation assets that increase efficiency.
 * Drive platform adoption through technical leadership and enablement.
 * Advocate developer-centric platform design and engineering excellence.

Platform Operations, Reliability & Delivery Enablement

 * Lead integration of platform capabilities into engineering workflows, CI/CD pipelines, and operations.
 * Design highly available, resilient, scalable, and observable platform solutions.
 * Define deployment standards, governance controls, and reliability practices.
 * Implement observability, operational intelligence, anomaly detection, and automated remediation.

Security, Governance & Engineering Controls

 * Design and implement platform-wide security controls and governance capabilities.
 * Establish secure-by-design practices and automated compliance controls.
 * Lead policy enforcement, risk management, and compliance automation solutions.
 * Partner with security, risk, and architecture teams to align with organizational standards.