**Position:** Senior Cloud & DevOps Engineer (AWS | Kubernetes | Terraform) **Job Description:** **Location:** Ahmedabad **Experience:** 7–10 years **Team:** Cloud Platform Engineering (Global) **What You Will Build** + Automated AWS infrastructure using **Terraform** and reusable modules + Production-grade **EKS** clusters (scaling, node groups, networking, resilience) + **Observability stack** with Datadog (dashboards, alerts, SLOs, traces, logs) + **CI/CD pipelines** using Jenkins / ArgoCD for microservices and platform components + Reliable multi-region cloud services for video, logs, analytics, and backend APIs + Automated failover, DR, backup lifecycle, and cost-optimized architectures + New **AWS regions/environments** as part of global expansion (EU, Korea, US) **What You Will Own** + AWS infrastructure design, scaling, and reliability (VPC, TGW, ALB/NLB, IAM, KMS, ECS/EKS, RDS, OpenSearch, MSK/Kafka) + Automation for provisioning, deployments, and platform operations + Datadog monitoring, dashboards, metric pipelines, and MTTR reduction + Security hardening (IAM guardrails, least privilege, container security, network policy) + CI/CD improvements enabling faster and safer releases + SRE-style operational excellence: SLIs/SLOs, incident response, root cause analysis + Contribution to SOC2, DR, backup strategy, and cloud governance **What Makes You a Great Fit** + **Strong AWS engineer** with 5+ years building/operating production infrastructure + Deep experience with: + AWS core networking (VPC, VPN, TGW, subnets, routing) + EKS, Kubernetes, Helm, autoscaling, containerized workloads + Terraform (modules, workspaces, multi-region automation) + CI/CD (Jenkins, ArgoCD, GitHub/GitLab CI) + Linux, Bash/Python scripting + Monitoring/observability (Datadog strongly preferred) + Experience with: + Kafka/MSK + OpenSearch/Elasticsearch + Global environments (multiple regions/accounts) + Ability to debug complex production issues across infra, networks, and services + Strong communication and collaboration across India/US/Korea teams + Ownership mindset: you build it, automate it, and improve it continuously **Responsibilities** + Architect, deploy, and support AWS environments for Dev/QA/Prod + Build, deploy, and manage Kubernetes clusters using automation + Improve reliability, MTTR, and overall platform performance + Implement Infrastructure as Code for all cloud services + Build monitoring/alerting and lead incident response with SRE best practices + Support global engineering teams releasing new services & features + Influence cloud standards, architecture patterns, and best practices + Mentor junior engineers & raise the engineering bar across the team + Contribute to SOC2 security controls, evidence automation, and compliance + Participate in a **follow-the-sun on-call rotation** (not shift work) **Qualifications** + Bachelor’s degree in CS/Engineering or equivalent experience + 7–10 years in Cloud/DevOps/SRE roles + AWS, Kubernetes, Terraform, or Linux certifications a plus + Experience with modern observability, GitOps, and SRE practices highly preferred **Why Join Us** + Build **global-scale** cloud infrastructure powering millions of devices + Own major portions of the Cloud Platform and influence architecture direction + Work with senior engineers and global teams (US, Korea, India) + Opportunity to become a lead engineer in the India Cloud Platform team + Strong focus on engineering excellence, automation, and reliability + Modern tech stack: AWS, EKS, Terraform, Datadog, ArgoCD, Kafka, OpenSearch **Location:** IN-GJ-Ahmedabad, India-Ognaj (eInfochips) **Time Type:** Full time **Job Category:** Engineering Services Arrow Electronics, Inc.'s policy is to provide equal employment opportunities to all qualified employees and applicants without regard to race, color, religion, age, sex, marital status, gender identity or expression, sexual orientation, national origin, disability, citizenship, veran status, genetic information, or any other characteristics protected by applicable state, federal or local laws. Our policy of equal employment opportunity and affirmative action applies to all employment decisions personnel policies and practices, or programs.