Platform Engineer

Comresource, Inc.
Columbus, OH, United States
about 1 month ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
5 years minimum
Working hours
Regular working hours
Job source

Tech stack

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
+8 more
Large Language Models Prompt Engineering Agentic-AI Containerization AI Platforms Kubernetes Information Technology Programming Languages

Job 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.

Requirements

  • 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.

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