Note: The job is a remote job and is open to candidates in USA. OEC provides software solutions to the automotive parts and repair industry, and they are seeking a Senior Platform Engineer to design and build a cloud platform that supports their engineering teams. This role focuses on improving developer productivity and platform reliability while incorporating AI technologies.
Responsibilities
- 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
Skills
- 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
- 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
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