Sr.Developer

Job Summary

Sr Developer with 6 to 10 years of experience focusing on generative AI solutions test and defect management DevOps practices and AWS IoT services in a hybrid work model. Role involves designing developing and optimizing resilient applications ensuring high quality delivery and collaborating with cross functional teams in the devices domain to create impactful digital products.

Responsibilities

Key Responsibilities

Cluster Management

Perform cluster creation upgrades and troubleshooting cluster related issues.

Ensure high availability and scalability of clusters using tools like Rancher and vCenter.

Network and Load Balancer Management

Handle network related activities and configurations in F5 Load Balancer.

Monitor and optimize network performance for reliability and security.

Monitoring and Logging

Configure and maintain Splunk for monitoring and log analysis.

Troubleshoot Splunk related issues and ensure proper alerting mechanisms.

Automation and CI or CD

Set up AWX for automation based on user requests.

Support and maintain Vault Artifactory and other pipeline related components.

Work with GitLab for source control and CI or CD pipeline management.

Tool Support and Integration

Provide support for tools like Nebula JFrog and other DevOps platforms.

Ensure seamless integration and functionality across all tools in the ecosystem.

Required Skills And Tools Expertise

Cluster Management Rancher vCenter

Automation AWX GitLab

Artifact Management JFrog Artifactory

Secrets Management HashiCorp Vault

Monitoring and Logging Splunk

Networking F5 Load Balancer

Other Tools Nebula

Qualifications

Bachelor degree in Computer Science Information Technology or related field.

Strong experience in DevOps practices infrastructure automation and cluster management.

Hands on experience with Linux environments and scripting Bash Python.

Good understanding of networking concepts and load balancing.

Excellent troubleshooting and problem solving skills.

Certifications Required

Preferred certifications include AWS Certified Developer Associate or AWS Certified Machine Learning Specialty or equivalent cloud and AI credentials