Posted:1 day ago|
Platform:
On-site
Full Time
Proficient in using Git for source code management, branching strategies, and collaboration workflows.
Hands-on experience with Git-based repositories like GitHub.
Basic knowledge of build tools like Maven and Gradle to automate compilation, testing, and packaging of applications.
Basic knowledge of SonarQube for static code analysis and maintaining code quality and security standards.
Skilled in creating, managing, and deploying applications using Docker containers.
Experience in writing Dockerfiles and optimizing container images.
Managing and deploying containerized applications using Kubernetes.
Experience in handling deployments, services, pods, config maps, secrets, HPA , PDB Jobs, network policies , namespaces and other k8s objects.
Strong knowledge of troubleshooting application failures in Kubernetes clusters.
Involved in setting up and managing applications in Spinnaker for continuous deployment to Kubernetes environments.
Writing and maintaining Ansible playbooks for configuration management.
Using Terraform for provisioning infrastructure resources including VMs, networking, and cloud services.
Creating, renewing, and maintaining SSL certificates for application and infrastructure security.
Creating dashboards, alerts, and visualizations for real-time log tracking.
Hands-on experience with multiple AWS services:
o Compute: EC2, Lambda, Auto Scaling
o Networking: VPC, ELB, Route 53
o Storage: S3, EBS
o Container Services: EKS
o Monitoring & Notifications: CloudWatch, SNS
o Security: IAM
o Database: RDS, MongoDB.
Experience using Prometheus and Grafana for real-time system monitoring and alerting.
Setup and tune dashboards and alerts for critical metrics.
Strong knowledge of Linux systems and shell scripting.
Capable of writing Unix shell or Python scripts for task automation and tooling.
Experience with Argo CD for GitOps-based continuous delivery.
Familiar with Argo Rollouts for advanced deployment strategies like canary and blue-green.
Exposure to Karpenter for Kubernetes cluster auto-scaling.
Deep troubleshooting skills to identify and resolve application issues in Kubernetes environments.
Involved in root cause analysis and applying long-term fixes.Mandatory skills 1. GIT
2. AWS
3. Kubernetes
4. Docker
5. Ansible
6. Terraform
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