Lead Platform Engineer

Ringside Talent; Columbus (OH); Hybrid; USD 120,000 - 180,000; Full time

Benefits offered by this job

Autonomy to influence platform roadmap

Hybrid work arrangement

Job summary

Ringside Talent is seeking a Lead Platform Engineer for a hybrid role based in Columbus, OH. You will design reusable APIs and automation tools that empower development teams to move faster and adopt AI-enabled workflows.

You will build CI/CD pipelines, cloud-native solutions on AWS, and mentor engineers while shaping the platform roadmap. Strong collaboration and clear communication are essential.

Qualifications

• 2-5 years of hands-on programming experience with modern languages.
• Experience building reusable APIs, frameworks, or engineering tools.
• Background developing scalable automation solutions, shared services, or internal developer platforms.
• Hands-on experience with AWS, CI/CD pipelines, infrastructure automation, and cloud-native technologies.
• Experience with or exposure to AI-assisted development tools, LLM integrations, AI agents, RAG, MCP, or intelligent workflow automation.

Responsibilities

• Design and build reusable APIs, frameworks, and engineering tools that other development teams depend on
• Develop automation and shared services that reduce manual effort and speed up delivery
• Help shape an internal developer platform that makes common engineering tasks simple and consistent
• Create and maintain CI/CD pipelines and infrastructure automation across cloud environments
• Build and run cloud-native solutions on AWS
• Explore practical uses of AI-assisted development tools, LLM integrations, AI agents, RAG, and MCP to streamline engineering workflows
• Work with application teams to understand their pain points and turn them into platform improvements
• Document platform capabilities and promote engineering best practices across teams
• Guide and mentor other engineers on platform direction and technical decisions

Skills

Programming experience

Cloud experience

Communication

Mentorship

Tools

AWS

CI/CD pipelines

Infrastructure automation

LLM integrations

AI tooling

Job description

We are looking for a Lead Platform Engineer to work for our client. The ideal candidate aligns with the responsibilities and qualifications outlined below.

This is a great opportunity for a hands‑on engineer to build the shared tools, automation, and services that help developers move faster, with room to explore AI‑enabled engineering, in a hybrid role based in Columbus, OH.

Responsibilities

• Design and build reusable APIs, frameworks, and engineering tools that other development teams depend on
• Develop automation and shared services that reduce manual effort and speed up delivery
• Help shape an internal developer platform that makes common engineering tasks simple and consistent
• Create and maintain CI/CD pipelines and infrastructure automation across cloud environments
• Build and run cloud‑native solutions on AWS
• Explore practical uses of AI‑assisted development tools, LLM integrations, AI agents, RAG, and MCP to streamline engineering workflows
• Work with application teams to understand their pain points and turn them into platform improvements
• Document platform capabilities and promote engineering best practices across teams
• Guide and mentor other engineers on platform direction and technical decisions

Qualifications

• Holds at least one of the following certifications: AWS Cloud Practitioner, Microsoft Azure Fundamentals (AZ-900), or Google Cloud Digital Leader
• 2-5 years of hands‑on programming experience with modern languages
• Experience building reusable APIs, frameworks, or engineering tools
• Background developing scalable automation solutions, shared services, or internal developer platforms
• Hands‑on experience with AWS, CI/CD pipelines, infrastructure automation, and cloud‑native technologies
• Experience with or exposure to AI‑assisted development tools, LLM integrations, AI agents, RAG, MCP, or intelligent workflow automation
• Clear communicator who enjoys partnering with other engineering teams

What Our Client Offers

• A chance to build tools that make fellow engineers faster and watch them get adopted across the organization
• Real room to experiment with AI agents, RAG, and MCP‑based workflows
• Autonomy to influence the platform's roadmap and technical direction
• A team that values well‑designed, reusable engineering over quick one‑off fixes