Assistant Manager-AWS Application Operations Engineer (Microservices & EKS) - Pune
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Protocol Intelligence
Data-driven signals on your job's competitivenessTier-1 brand, mid-level generalist DevOps role in metro with common 3–5 year experience.
Cloud-native AWS/EKS operational skills are broadly transferable across industries.
Explicit 3–5 year requirement plus mandatory AWS/EKS, observability and scripting skills increases filter strictness.
Job Description
Structured overview of role & requirementsAbout This Role
Own L2 operational support and technical reliability for AWS-hosted microservices, REST APIs, and Amazon EKS/Kubernetes clusters.
Ensure service availability and SLA/KPI compliance via proactive monitoring, incident management, root cause analysis, and troubleshooting across cloud infrastructure, networking, and application layers.
Drive automation of operational tasks, maintain dashboards and runbooks, and participate in continual service improvement, including AIOps and AI-enabled operational enhancements.
Minimum Requirements
3 to 5 years experience in IT Operations, Application Operations, Cloud Support, Production Support, or Site Reliability Engineering.
Hands-on expertise supporting AWS microservices, REST APIs, and Amazon EKS/Kubernetes environments.
Proficiency in Linux/Unix, Shell/Python scripting, AWS services (VPC, Route 53, WAF, IAM, CloudWatch, ECR, Secrets Manager), and monitoring tools (CloudWatch, Dynatrace, AppDynamics, Kibana, Splunk, Datadog, Prometheus, Grafana).
Bachelor's degree or equivalent practical experience. Work Experience Required: 3 to 5 years. Notice Period: Not explicitly mentioned in the JD.
Ideal Candidate Profile
Experienced in managing cloud-native applications within AWS and Kubernetes platforms supporting business-critical environments, indicating strong operational ownership and resilience focus.
Demonstrates capability in incident and problem management aligned to ITIL best practices with a strong emphasis on root cause analysis and service continuity.
Comfortable working collaboratively across cross-functional teams and driving automation and AI-enabled operational improvements to optimize cloud service reliability.