DevOps and AI infrastructure Engineer

CarParts.com; Long Beach (CA); On-site; USD 120,000 - 160,000; Full time

Job summary

CarParts.com is seeking an AI-native engineer to own platform engineering and SRE functions. This role involves utilizing autonomous agents and LLM-powered pipelines to enhance our infrastructure across multiple AWS accounts. Applicants should have a deep understanding of cloud environments, Kubernetes management, and automation.

With over 10 years of experience required, this position is crucial in ensuring operational efficiency and deployment speed. Located in Long Beach, this is an on-site opportunity with a company dedicated to safety and customer focus.

Qualifications

• 10+ years of hands-on DevOps, SRE, or platform engineering experience in production AWS cloud environments.
• Deep AWS expertise: EKS, EC2, SQS, CloudWatch, IAM, Organizations.
• Production experience building or operating AI agents.

Responsibilities

• Own the entire platform engineering and SRE function.
• Automate remaining manual processes.
• Handle deployments, incidents, and infrastructure changes with speed.

Skills

AWS expertise

Kubernetes expertise

CI/CD ownership

AI agent experience

Node.js programming

Python programming

Strong communication

Tools

AWS

Akamai CDN

GitHub Actions

Jenkins

Elastic/Kibana

Job description

What We Do

CarParts.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.

Our Culture

At 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 it’s analyzing contracts, aggregating complex scenarios, or building clear, data‑driven presentations.
• No Passengers: We value grit, ownership, and the relentless pursuit of results

THE OPPORTUNITY

One 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 Ownership

What You’ll Own

AWS Multi‑Account Infrastructure

• EKS clusters across dedicated AWS accounts
• EC2 worker nodes via Auto Scaling Groups
• SQS pipelines
• AWS Bedrock (Claude) for AI agent workloads

Kubernetes & Containerization

• EKS clusters
• Node group management
• Kops clusters alongside EKS
• Multiple environment tiers with full blast‑radius isolation

CI/CD & Release Management

• Multiple Repos
• GitHub Actions workflows + Jenkins pipeline management
• Turbo build system across multiple micro‑frontend packages
• Canary release gating and rollback automation

CDN & Traffic Management

• Akamai Property Manager config
• Phased Release Cloudlet for Canary and Production split
• Security, throttling and monitoring
• Jenkins‑driven cache invalidation

Observability & Incident Response

• Elastic/Kibana
• CloudWatch across all AWS accounts
• Business performance monitoring
• SQS backlog + pipeline health alerting
• On‑call ownership, proactive, AI‑assisted triage

NON‑NEGOTIABLE

The AI‑native expectation

This 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 you’ve never built an agent that runs in production unsupervised, this is not the right role.

What You’ll Inherit & Extend

The tech stack

Cloud & Orchestration

• AWS EKS
• Kubernetes
• Kops
• AWS Organizations
• Auto Scaling Groups
• AWS SQS
• AWS Bedrock
• CloudWatch

CDN & Networking

• Akamai Property Manager
• Phased Release Cloudlet
• Fast Purge
• Content Protector

CI/CD & Frontend

• GitHub Actions
• Jenkins
• Turbo (monorepo)
• Webpack 5 Module Federation
• Canary / Blue‑Green Deployments

AI & Agentic

• MCP (Model Context Protocol)
• Claude API / AWS Bedrock
• Azure Bot Service
• Microsoft Entra ID
• Operational AI Agents

Observability & Data

• Elastic / Kibana
• BlueTriangle
• Databricks
• Cloudinary
• New Relic

Languages

• Node.js / TypeScript
• Python
• Bash / Shell
• SQL
• PowerShell

Requirements

What we’re looking for

• 10+ 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 architectures
• Strong Kubernetes skills: cluster operations, node group management, workload isolation, taints/tolerations, auto‑scaling
• Experience with Akamai or equivalent enterprise CDN – configuration, purge operations, traffic routing rules
• CI/CD ownership: GitHub Actions and/or Jenkins pipeline design, monorepo build systems, release gating
• Production experience building or operating AI agents – LLM integration, autonomous workflow design, prompt engineering
• Proficiency in Node.js and/or Python for automation, tooling, and MCP server development
• Observability stack ownership: Elastic/Kibana, log analysis, alerting design, SLO/SLI instrumentation
• Comfortable owning on‑call responsibility for a production e‑commerce platform with significant revenue exposure
• Strong written and verbal communication – will interface with engineering leadership and present findings to executives
• Based in or willing to relocate to the Los Angeles / Long Beach area for on‑site work

Equal Opportunity Employer

CarParts.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.