Senior Devops Engineer
Senior Devops Engineer
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5-7years
Not Disclosed
Salary Not Disclosed
1 Vacancy
Job Description
Key Responsibilities:
Design & manage CI/CD pipelines (Jenkins GitLab CI/CD GitHub Actions).
Automate infrastructure provisioning (Terraform Ansible Pulumi).
Monitor & optimize cloud environments (AWS GCP Azure).
Implement containerization & orchestration (Docker Kubernetes EKS/GKE/AKS).
Maintain logging monitoring & alerting (ELK Prometheus Grafana Datadog).
Ensure system security availability & performance tuning.
Manage secrets & credentials (Vault AWS Secrets Manager).
Troubleshoot infrastructure & deployment issues.
Implement bluegreen & canary deployments.
Collaborate with developers to enhance system reliability & productivity.
Requirements
Required Skills:
7 years in DevOps SRE or Infrastructure Engineering.
Strong expertise in Cloud (AWS/GCP/Azure) & InfrastructureasCode (Terraform CloudFormation).
Proficient in Docker & Kubernetes.
Handson with CI/CD tools & scripting (Bash Python or Go).
Strong knowledge of Linux networking and security best practices.
Experience with monitoring & logging tools (ELK Prometheus Grafana).
Familiarity with GitOps Helm charts & automation
Preferred (Nice to Have):
Certifications AWS DevOps Engineer CKA/CKAD Google Cloud DevOps Engineer.
Experience with multicloud microservices eventdriven systems.
Exposure to AI/ML pipelines & data engineering workflows.
Required Skills: 7+ years in DevOps, SRE, or Infrastructure Engineering. Strong expertise in Cloud (AWS/GCP/Azure) & Infrastructure-as-Code (Terraform, CloudFormation). Proficient in Docker & Kubernetes. Hands-on with CI/CD tools & scripting (Bash, Python, or Go). Strong knowledge of Linux, networking, and security best practices. Experience with monitoring & logging tools (ELK, Prometheus, Grafana). Familiarity with GitOps, Helm charts & automation Preferred (Nice to Have): Certifications (AWS DevOps Engineer, CKA/CKAD, Google Cloud DevOps Engineer). Experience with multi-cloud, microservices, event-driven systems. Exposure to AI/ML pipelines & data engineering workflows.
Employment Type
Full Time
