DevOps Engineer, Retail Engineering
Apple · Hyderabad
Collected role description
Role overview
DevOps Engineer, Retail Engineering at Apple
Required qualifications
- Minimum qualification: 5+ years of proven experience as a Senior Ops/SRE/DevOps Engineer or similar role, with demonstrated 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.
Preferred qualifications and skills
- Preferred qualification: 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 demonstrated 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 discipline.
Employment details
- Location: Hyderabad [India]
Application details
- By collaborating closely with development, security, and business teams, we ensure that every application we manage meets Apple's standards of Site Reliability and Security.
- AI/LLM-Driven Intelligent Automation: Apply LLM/GenAI-based approaches to automate incident triage, log/anomaly analysis, root cause analysis, runbook generation, and self-healing systems; continuously evaluate and integrate emerging AI/LLM tooling into CI/CD and operations workflows to reduce manual toil.
About the employer
- Apple is where individual imaginations gather together, committing to the values that lead to great work.
- Retail and Marcom Engineering, an IS&T team, builds and operates the systems and experiences that connect Apple's products with its customers.
- Together, those functions deliver the technology behind every product story Apple tells and every purchase a customer makes.
Additional role details
- Every new product we build, service we create, or Apple Store experience we deliver is the result of us making each other’s ideas stronger.
- That happens because every one of us shares a belief that we can make something wonderful and share it with the world, changing lives for the better.
- It’s the diversity of our people and their thinking that inspires the innovation that runs through everything we do.
- When we bring everybody in, we can do the best work of our lives.
- Here, you’ll do more than join something — you’ll add something.
- The team owns the technology behind both Apple's online and physical stores and drives the interactive marketing experiences and tools that keep creative operations moving.
- Our Operations Team, part of the Retail Eng Publishing CS&E organization, plays a critical role in ensuring the stability, reliability, and performance of multiple customer-facing applications that serve millions of users across diverse services.
- We specialize in sustaining and optimizing our systems, driving operational excellence through automation, cloud infrastructure management, AI-driven insights, and proactive monitoring.
- Our team thrives on solving challenging problems around Traffic, Deployments, DDoS, WAF, enhancing system resilience, and enabling seamless experiences for our customers.
- We are seeking a skilled DevOps Engineer who is passionate about operational excellence through automation, AI-driven engineering processes, and strong problem-solving abilities.
- As a DevOps Engineer, you will play a crucial role in ensuring the seamless integration of development and operations processes to deliver best-in-class and highly available systems.
- Your expertise in cloud platforms, automation, infrastructure management, and applying LLM/AI capabilities to solve real operational challenges will be vital to the success of our projects.
- We're looking for someone who thrives on breaking down complex, ambiguous problems and engineering practical, scalable solutions — not just executing tasks, but thinking critically about root causes and long-term reliability.
- Linux, Cloud Infrastructure & Migration: Deep operational expertise across Linux internals (process/memory/CPU diagnostics, networking, kernel-level troubleshooting) combined with ownership of AWS/Cloud infrastructure — architecture, provisioning, disaster recovery , and end-to-end cloud migration (on-prem to AWS), using Terraform/Ansible for infrastructure-as-code at scale.
- Kubernetes/EKS Lifecycle & Container Orchestration: Manage the full lifecycle of Kubernetes/EKS environments — version upgrades, live/rolling patching with zero downtime, node maintenance, cluster optimization, and Helm chart development/troubleshooting.
- Traffic, Network & Security Engineering: Configure and manage NGINX (reverse proxy , load balancing, SSL/TLS, ingress) and GSLB for traffic distribution/failover; implement Shield/WAF-based DDoS protection, threat modeling, and security hardening across the SDLC, including PCI/SOC2/SOX compliance readiness.
- CI/CD, Monitoring & Incident Response: Design and maintain CI/CD pipelines (Jenkins, Spinnaker, GitHub Actions); build actionable monitoring/alerting frameworks (Splunk, Dynatrace, Prometheus, Grafana); participate in production on- call and drive thorough root-cause analysis for P1/P1c incidents.
- Engineering Process Ownership: Design and implement engineering processes that simplify how development teams build, deploy , and operate software, embedding security , compliance, and automation best practices throughout.
Collected minimum qualification
5+ years of proven experience as a Senior Ops/SRE/DevOps Engineer or similar role, with demonstrated 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.
Collected preferred qualification
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 demonstrated 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 discipline.
Collected experience requirement
5+ years