DevOps Engineer, Retail Engineering
About the role
DevOps Engineer focused on operational excellence, automation, and AI-driven engineering within Retail Engineering. Responsible for integrating development and operations, managing cloud infrastructure and Kubernetes/EKS, implementing robust CI/CD and monitoring, and applying AI/LLM capabilities to improve incident triage, root-cause analysis, and self-healing systems across production-grade environments.
Responsibilities
- - Linux, Cloud Infrastructure & Migration: manage AWS/Cloud infrastructure, architecture, provisioning, disaster recovery, end-to-end cloud migration (on-prem to AWS), and infrastructure-as-code using Terraform/Ansible at scale.
- - Kubernetes/EKS Lifecycle & Container Orchestration: manage full lifecycle of Kubernetes/EKS environments, upgrades, zero-downtime patching, node maintenance, cluster optimization, Helm chart development/troubleshooting.
- - Traffic, Network & Security Engineering: configure NGINX (reverse proxy, load balancing, SSL/TLS, ingress), GSLB, implement Shield/WAF for DDoS protection, security hardening across SDLC, PCI/SOC2/SOX readiness.
- - CI/CD, Monitoring & Incident Response: design/maintain CI/CD pipelines (Jenkins, Spinnaker, GitHub Actions); build monitoring/alerting (Splunk, Dynatrace, Prometheus, Grafana); participate in production on-call and perform root-cause analysis for P1/P1c incidents.
- - AI/LLM-Driven Intelligent Automation: apply GenAI/LLM approaches to automate incident triage, log/anomaly analysis, root-cause analysis, runbook generation, and self-healing; evaluate/integrate AI tooling into CI/CD and operations workflows.
- - Engineering Process Ownership: design/deploy engineering processes to simplify development/deploy/operation of software with embedded security, compliance, and automation best practices.
Qualifications
- - 5+ years of proven experience as a Senior Ops/SRE/DevOps Engineer or similar role, with ownership of production-grade systems.
- - Strong Linux systems expertise, hands-on AWS experience, and proficiency managing Kubernetes/EKS (upgrades, patching, Helm).
- - Strong programming/scripting skills (Bash, Python, Node, or Java) with proficiency in CI/CD (Jenkins, GitHub Actions, etc.) and observability tooling (Prometheus, Grafana, Splunk).
- - Bachelor's Degree in CS or equivalent practical experience.
- - Hands-on experience with LLMs/AI/ML technologies, GenAI tools, agentic frameworks, or AI-driven automation in production environments.
- - Experience with NGINX configuration and Shield/WAF/DDoS mitigation strategies at scale.
- - Strong problem-solving mindset with ability to diagnose complex, ambiguous issues and design scalable, long-term solutions.
- - Experience building or integrating LLM-powered agents/copilots for operations, monitoring, or incident response use cases.
- - Experience with large-scale on-prem to cloud migrations.
- - Familiarity with AEM and Apache upgrades/troubleshooting.
- - Experience handling high-priority incidents (P1/P1c) with strong root-cause analysis.
Skills
About Apple
Discover the innovative world of Apple and shop everything iPhone, iPad, Apple Watch, Mac, and Apple TV, plus explore accessories, entertainment, and expert device support.
Discover the innovative world of Apple and shop everything iPhone, iPad, Apple Watch, Mac, and Apple TV, plus explore accessories, entertainment, and expert device support.
More open roles at Apple
- Senior UI Software Engineer, Cocoa2d agoCupertino, CA · Software and Services
- AIML - Machine Learning Engineer, Visual Intelligence Technology2d agoHybrid (Cupertino/Santa Clara/SSeattle area (3 work locations)) · Visual Intelligence Technology
- Physical Design Methodology CAD Engineer2d agoHybrid (Sunnyvale, California), Hybrid (Austin, Texas) +3 more · Hardware Technology CAD team / Silicon Technologies group
- Sr. ML Optimization Engineer, ASE Efficiency2d agoHybrid (San Diego, CA) · Software and Services
- Sr. ML Optimization Engineer, ASE Efficiency2d agoHybrid (Seattle, WA) · Software and Services