Deputy Manager-AWS Microservices & EKS Operations Specialist - Pune
Vodafone Group (company site, opens in a new tab)5–7 yrsPuneOn-siteDirect career pageEst. 18–30 LPA
Posted on 23 Sept
Reach people at Vodafone Group
People at this company you can reach
Log in to see who works here
Create a free account or log in to see the people at Vodafone Group you could write to:
- Recruiters & HR
- People in this function
- Work addresses
Your match
Against your primary resume
Log in to see your match score
Create a free account or log in to unlock your CV match score across:
- Role fit
- Experience
- Industry relevance
Protocol Intelligence
How competitive this role is
Competition
Background fit
Strictness
Log in to see why each signal reads the way it does.
Job description
Structured overview of role & requirements
About This Role
- Provide hands-on operational support for AWS-hosted microservices and REST APIs on Amazon EKS/Kubernetes platforms.
- Maintain service availability by troubleshooting production issues across application, container, network, and AWS infrastructure components including VPC, Route 53, and load balancers.
- Drive automation of operational tasks using Shell scripting, Python, AWS services, and contribute to AI/AIOps implementations for incident detection and remediation.
Minimum Requirements
- 5 to 7 years of IT operations or application production support experience.
- Strong experience with AWS services including EKS/Kubernetes, VPC, Route 53, WAF, ELB/ALB/NLB, IAM, CloudWatch, ECR, and Secrets Manager.
- Proficiency in Linux/Unix administration and scripting with Shell or Python.
- Bachelor's degree or equivalent relevant professional experience.
Ideal Candidate Profile
- Experienced in managing large-scale AWS cloud-native microservices in production environments with a focus on operational excellence and reliability.
- Comfortable working across multiple domains including platform, network, security, and vendor coordination to ensure service continuity.
- Skilled in automating operational processes and applying AI/AIOps practices such as anomaly detection and guided remediation for enhanced observability and incident management.