Senior Platform Engineer (Cloud & AI Platform)- Remote within US

OEC; United States; Hybrid; USD 130,000 - 190,000; Full time

Job summary

OEC is seeking a Senior Platform Engineer to design, build, and evolve the cloud platform for scalable, secure software delivery. You will work with engineers and DevOps to enhance developer productivity and platform reliability, leveraging AI-assisted development tools to accelerate infrastructure work.

The role emphasizes IaC, CI/CD, and secure, observable cloud environments across AWS/Azure/GCP with a strong focus on automation and governance.

Qualifications

• Bachelor's degree in Computer Science, Engineering, or related field, or equivalent experience.
• 6+ years in software, platform, DevOps, or cloud engineering.
• Strong experience with one or more major cloud providers (AWS preferred).
• Experience building Infrastructure as Code (Terraform, CloudFormation, or similar).
• Experience with Docker and Kubernetes.
• Proficiency with scripting/programming languages such as Python, Go, or Bash.
• Hands-on experience building CI/CD pipelines (Jenkins, GitLab CI, GitHub Actions, CircleCI).
• Strong networking, cloud security, Linux, and platform operations knowledge.
• Experience with observability/monitoring tools (Datadog, Prometheus, Grafana).
• Experience using AI-assisted development tools and evaluating AI-generated code.

Responsibilities

• Design, build, and maintain scalable, secure cloud platform infrastructure.
• Develop Infrastructure as Code using Terraform, CloudFormation, or Ansible.
• Manage AWS/Azure/GCP environments for performance, reliability, and cost.
• Build and enhance CI/CD pipelines to automate delivery and deployment.
• Collaborate with software teams to improve platform capabilities and developer experience.
• Monitor platform health and drive operational improvements.
• Implement security best practices across infrastructure and pipelines.
• Leverage AI-assisted tools to accelerate infrastructure development while ensuring quality.
• Support AI agent-related platform capabilities, including access, gateways, and governance.

Skills

Cloud platforms

IaC

DevOps

Python

Go

Bash

CI/CD

Docker

Kubernetes

AWS

Azure

GCP

Networking

Linux

Observability

AI-assisted development tools

Education

Bachelor's degree in CS/Engineering or equivalent

Tools

Terraform

CloudFormation

Ansible

GIT

Jenkins

GitLab CI

GitHub Actions

CircleCI

Job description

OEC provides software solutions to those who work in the automotive parts and repair industry. Our solutions make it easier for automotive industry professionals to buy and sell parts, conduct repair research & planning, optimize estimates, improve the parts supply chain, and more. OEC partners with many of the world’s largest manufacturers, dealers and suppliers, shops and repairers, and service providers, giving our customers access to a comprehensive network and a streamlined workflow.

Interview integrity requirement

Candidates must personally complete all interviews and technical assessments. The use of proxies or third‑party representatives during any stage of the hiring process is prohibited and will result in disqualification. Final candidates will be required to participate in at least one in‑person interview. Some travel for this role is expected. Reasonable accommodations will be provided in accordance with applicable laws.

Build the Platform That Powers the Future of Engineering

We're looking for a Senior Platform Engineer to help design, build, and evolve the cloud platform that enables our engineering teams to deliver secure, scalable, and reliable software. This role combines cloud infrastructure, DevOps, automation, and modern platform engineering with an exciting opportunity to help shape how AI‑powered development is adopted across our organization.

You'll work alongside software engineers, architects, and DevOps professionals to improve developer productivity, strengthen platform reliability, and build the capabilities that support AI‑assisted and agentic engineering at scale.

If you're passionate about cloud technologies, infrastructure automation, developer experience, and leveraging AI to build better software, we'd love to talk with you.

What You'll Do

• Design, build, and maintain scalable, secure, and highly available cloud platform infrastructure.
• Develop Infrastructure as Code (IaC) using tools such as Terraform, CloudFormation, or Ansible.
• Manage and optimize AWS, Azure, or Google Cloud environments for performance, reliability, scalability, and cost efficiency.
• Build and enhance CI/CD pipelines that automate software delivery and infrastructure deployment.
• Partner with software engineering teams to improve platform capabilities and developer experience.
• Monitor platform health, troubleshoot production issues, and drive continuous operational improvements.
• Implement security best practices across infrastructure, pipelines, and cloud environments.
• Use AI‑assisted development tools such as GitHub Copilot, Claude Code, or similar technologies to accelerate infrastructure development while validating quality, security, and maintainability.
• Build and support the platform capabilities that enable engineering teams to safely adopt AI agents, including model access, MCP servers and gateways, tool integrations, identity management, and governance controls.
• Extend observability and auditing capabilities to AI‑driven workflows, ensuring agent actions are secure, traceable, and compliant.
• Research emerging cloud, platform engineering, and AI technologies to continuously improve engineering practices.
• Champion responsible AI adoption by establishing best practices, evaluating emerging tools, and helping engineering teams effectively integrate AI into their daily workflows.

What You Bring

Required Qualifications

• Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent professional experience.
• 6+ years of experience in software, platform, DevOps, or cloud engineering.
• Strong experience with one or more major cloud providers (AWS preferred, Azure or Google Cloud also considered).
• Experience building Infrastructure as Code using Terraform, CloudFormation, or similar tools.
• Experience with container technologies such as Docker and Kubernetes.
• Proficiency with scripting or programming languages such as Python, Go, or Bash.
• Hands‑on experience building and maintaining CI/CD pipelines using tools such as Jenkins, GitLab CI, GitHub Actions, CircleCI, or similar.
• Strong understanding of networking, cloud security, Linux systems, and platform operations.
• Experience with observability and monitoring tools such as Datadog, Prometheus, Grafana, or similar.
• Experience using AI‑assisted development tools in a professional engineering environment and the ability to critically evaluate AI‑generated code and infrastructure.

Preferred Qualifications

• Experience designing or supporting AI platform capabilities and developer tooling.
• Familiarity with large language models (LLMs), prompt engineering, agent orchestration, tool/function calling, and Model Context Protocol (MCP).
• Understanding of governance, security, and operational considerations for deploying AI agents in production environments.

Additional Information

Occasional flexibility in work hours may be required to support production needs, cross‑functional initiatives, and collaboration across multiple time zones.

What makes working at OEC awesome?

It varies from employee to employee. For some, it's the flexibility - whether it's remote work or a hybrid or in‑person role, OEC takes our teams across multiple time zones and international communities. For others, it's the strong sense of camaraderie and community that celebrates both individuals and team‑driven contributions. Or it could be the empowerment and how the team is encouraged to take risks, learn, and grow within a dynamic and supportive environment. But no matter what gets us out of bed in the morning, our whole global community is inspired to be forward thinking and drive innovative solutions for the automotive parts and repair industry.

OEConnection is subject to certain governmental recordkeeping and reporting requirements for the administration of civil rights laws and regulations. In order to comply with these laws, we invite applicants and employees to voluntarily self‑identify their gender, race and ethnicity. Submission of this information is strictly voluntary and refusal to provide it will not subject you to any adverse treatment. The information obtained will be kept confidential and may only be used in accordance with the provision of applicable laws, executive orders, and regulations, including those that require the information to be summarized and reported to the federal government for civil rights enforcement. When reported, data will not identify any specific individual. This information will be maintained separately from your application for employment. If you do not wish to self‑identify at this time, you may do so in the future by submitting this form. Failure to provide the following information will not subject you to any adverse action or treatment. OEConnection is an Equal Opportunity/ Aff­irmative Action employer. We provide equal employment opportunities to all qualified employees and applicants for employment without regard to race, religion, sex, age, marital status, national origin, sexual orientation, citizenship status, veteran status, disability or any other legally protected status. We prohibit discrimination in decisions concerning recruitment, hiring, compensation, benefits, training, termination, promotions, or any other condition of employment or career development.