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Lead Cloud & DevOps Engineer ( Kubernetes & Azure ) - WFH
AgileEnginenagpur, maharashtra, in16 days ago
Job type
- Remote
Job descriptionSkills and experience 8+ years of experience in Cloud Infrastructure / DevOps Engineering. 5+ years of hands-on experience with Kubernetes (AKS preferred) — covering cluster setup, scaling, networking, RBAC, and workload isolation. Strong expertise in Azure services : AKS, Networking (VNet, NSG, Subnets), Storage Accounts, Azure Container Registry (ACR), Key Vault, PostgreSQL as a Service. Proven experience in creating and maintaining deployment manifests. Experience in workflow orchestration with Airflow, including adapting DAGs for batch processing. Hands-on experience with Infrastructure as Code (Terraform) Strong knowledge of CI / CD pipelines and deployment automation. Must to have skillsets Strong hands-on experience with Kubernetes (deployment, scaling, networking, security, troubleshooting). Proven expertise with Azure Cloud services, especially AKS, managed databases, and networking. Good to have skillsets Airflow (workflow orchestration) experience. Terraform (infrastructure as code) exposure. Postgres (database management) experience. Familiarity with Jsonnet templating. Soft skills Strong problem-solving and troubleshooting abilities. Ability to work independently and collaboratively in distributed teams. Clear communication and documentation skills. Flexibility and adaptability in dynamic environments.
🔥 Lead Cloud Devops engineer ( Kubernetes / Azure ) - WFH
THIS IS FULLY REMOTE WORKING OPPORTUNITY
We someone who can join in less than 15 days.
If you are interested and fulfill the below mentioned criteria then please share below information.
1. EMAIL ID
2. Years of relevant experience
3. CCTC / ECTC
4. Notice period
5. Updated resume mentioning all the mentioned skills specially Kubernetes & Azure . Also, experience in financial domain is a huge plus so if you have that experience then mention that as well in the resume
- Key Responsibilities of the selected candidate
Maintain Kubernetes clusters on AKS.
Ensure isolation between live traffic services and batch workloads via dedicated node pools and Postgres instances.
Extend Jsonnet code responsible for Kubernetes YAML manifest generation for deployment consistency.
Implement deployment enhancements for easier node pool dedication and improved reliability.
Adapt and enhance Airflow DAGs to support batch processing in production.
Collaborate with internal teams for smooth process transitions.
Support data synchronization between Non-Prod and Prod environments.
Participate in release management, including dry-runs, parallel runs, and controlled cutovers.
Troubleshoot and resolve issues to ensure stability of ESG Climate workloads.
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Cloud Engineer Azure • nagpur, maharashtra, in
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