DevOps and AI infrastructure Engineer

What We DoCarParts.com is the go-to eCommerce platform for auto care and maintenance. We provide drivers with quality parts at competitive prices and enable them to schedule appointments with trusted mechanics directly through our website. Using world-class design principles and the latest technologies, we deliver a fast, intuitive digital experience backed by our company-owned national distribution network. With over 1,000 employees worldwide, we are scaling rapidly, fueled by our most recent strategic partnership and $35 million investment. This positions us for the next phase of growth as we continue to empower drivers along their journey.

Weve built Axle

• CarParts.

coms domain AI platform and winner of the MACH Alliance Impact Award for Best Multi-Agent Ecosystem and were expanding it. This role is central to that expansion.

Our CultureAt CarParts.com, our culture goes beyond our core values of Safety First, Customer Focused, and Commitment to Excellence. We are a performance-driven, data-focused, and fast-paced team where results matter and winning is expected.

• Hungry & Hardworking:

  We set ambitious goals, measure progress with clear metrics, and hold ourselves accountable to deliver results.
• Promote from

Within:

We reward top performers with opportunities for growth and advancement.

• Collaborative & In-Person:

  We believe the best ideas and fastest execution happen face-to-face.

• High Standards:

  We move quickly, pay attention to details, and dig deep
• whether its analyzing contracts, aggregating complex scenarios, or building clear, data-driven presentations.

•

No Passengers:

We value grit, ownership, and the relentless pursuit of resultsTHE OPPORTUNITYOne exceptional engineer. AI as the team.

This is not a standard DevOps posting. We are looking for one unusually capable, AI-native engineer to own our entire platform engineering and SRE function using autonomous agents, LLM-powered pipelines, and MCP-based tooling as force multipliers to do the work of a team, on-site, in close partnership with our engineering leadership.

You will inherit a mature, fully containerized AWS estate (9 EKS clusters, 27 accounts, 228 Kubernetes nodes), an Akamai CDN layer managing live traffic splits, GitHub Actions + Jenkins CI/CD pipelines for a Webpack 5 micro-frontend monorepo, and an operational AI agent platform OpsWhisperer already in production monitoring 25 AWS accounts with a 91% autonomous resolution.

Your job is to extend all of it, automate what remains manual, and be the person who makes every deployment, incident, and infrastructure change happen with speed, precision, and intelligence.

SCOPE OF

OWNERSHIPWhat youll ownAWS Multi-Account InfrastructureEKS clusters across dedicated AWS accountsEC2 worker nodes via Auto Scaling GroupsSQS pipelinesAWS Bedrock (Claude) for AI agent workloadsKubernetes & ContainerizationEKS clustersNode group mgmt Kops clusters alongside EKSMultiple environment tiers with full blast-radius isolationCI/CD & Release ManagementMultiple ReposGitHub Actions workflows + Jenkins pipeline managementTurbo build system across multiple micro-frontend packagesCanary release gating and rollback automationCDN & Traffic ManagementAkamai Property Manager configPhased Release Cloudlet for Canary and Production splitSecurity, Throttling and MonitoringJenkins-driven cache invalidationObservability & Incident ResponseElastic/KibanaCloudWatch across all AWS accountsBusiness performance monitoringSQS backlog + pipeline health alertingOn-call ownership, proactive, AI-assisted triageNON-NEGOTIABLEThe AI-native expectationThis is a role where AI fluency is not a bonus it is how you do the job. We expect you to build, operate, and improve autonomous agents that handle monitoring, alerting, triage, and routine operational work. You are not just a consumer of AI tools; you are the person who builds them, deploys them into production, and iterates on them based on real operational data.

You will extend OpsWhisperer(AI Platform and Observability agent), contribute to the Axle platform, build MCP servers that give agents new capabilities, and apply LLM-powered reasoning to infrastructure problems that previously required multiple humans. If youve never built an agent that runs in production unsupervised, this is not the right role.

WHAT YOULL INHERIT

& EXTENDThe tech stackCategoryTechnologiesCloud & OrchestrationAWS EKS Kubernetes Kops AWS Organizations Auto Scaling Groups

AWS SQS AWS

Bedrock CloudWatchCDN & NetworkingAkamai Property Manager Phased Release Cloudlet Fast Purge Content ProtectorCI/CD & FrontendGitHub Actions Jenkins Turbo (monorepo) Webpack 5 Module Federation Canary / Blue-Green DeploymentsAI & AgenticMCP (Model Context Protocol) Claude

API / AWS

Bedrock Azure Bot Service Microsoft Entra ID Operational AI AgentsObservability & DataElastic / Kibana BlueTriangle Databricks Cloudinary New RelicLanguagesNode.js / TypeScript Python Bash / Shell SQL PowerShell

REQUIREMENTS

What were looking for10+ years of hands-on DevOps, SRE, or platform engineering experience in production AWS cloud environments.

Deep AWS expertise: EKS, EC2, SQS, CloudWatch, IAM, Organizations, and multi-account architecturesStrong Kubernetes skills: cluster operations, node group management, workload isolation, taints/tolerations, auto-scalingExperience with Akamai or equivalent enterprise CDN configuration, purge operations, traffic routing rulesCI/CD ownership: GitHub Actions and/or Jenkins pipeline design, monorepo build systems, release gatingProduction experience building or operating AI agents LLM integration, autonomous workflow design, prompt engineeringProficiency in Node.js and/or Python for automation, tooling, and MCP server developmentObservability stack ownership: Elastic/Kibana, log analysis, alerting design, SLO/SLI instrumentationComfortable owning on-call responsibility for a production e-commerce platform with significant revenue exposureStrong written and verbal communication will interface with engineering leadership and present findings to executivesBased in or willing to relocate to the Los Angeles / Long Beach area for on-site workEqual Opportunity EmployerCarParts.com is an equal-opportunity employer. We enthusiastically accept our responsibility to make employment decisions without regard to race, religious creed, color, age, sex, sexual orientation, national origin, religion, marital status, medical condition, physical or mental disability, military service, pregnancy, childbirth and related medical conditions, or any other classification protected by federal, state, and local laws and ordinances. Our management is dedicated to ensuring that we fulfill this policy with respect to hiring, placement, promotion, transfer, demotion, layoff, termination, recruitment advertising, pay, and other forms of compensation, training, and general treatment during employment.

The above-noted job description is not intended to describe, in detail, the multitude of tasks that may be assigned but rather to give the incumbent a general sense of the responsibilities and expectations of his/her position. As the nature of business demands change so, too, may the essential functions of this position.