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Title : Senior DevOps Engineer On-Premise & Hybrid Cloud Location : Bangalore Experience : 8- 10 years Type : Full-time Role Overview : We are seeking a highly skilled Senior DevOps Engineer to lead infrastructure and deployment efforts for our next-generation data and AI platform. This role focuses on building resilient, scalable systems for on-premises and hybrid environments, supporting microservices, real-time data streaming, and batch processing. You will work closely with architects and engineering teams to design, automate, and scale infrastructure for mission-critical applications involving Kafka, Spark, and distributed storage systems. Key Responsibilities : 1. Infrastructure Design & Automation : - Architect and maintain hybrid and on-premises environments for compute and storage workloads. - Deploy and manage containerized microservices using Kubernetes (on-prem and cloud). - Automate infrastructure provisioning using Terraform, Ansible, or similar tools. - Configure and scale distributed data streaming and storage platforms (eg: Kafka clusters, Apache Spark, and data lake/warehouse). 2. Scalability & Performance : - Design for elastic scaling, load balancing, and resource isolation for data services and APIs. 3. Security & Governance : - Secure hybrid deployments with VPNs, firewalls, and identity management. - Implement data access controls, audit trails, and encryption across services and storage layers. - Manage secrets securely across environments. 4. Monitoring, Logging & Resilience : - Set up observability stacks (Prometheus, Grafana, ELK, OpenTelemetry) for real-time insight. 5. CI/CD & Operations : - Build pipelines to deploy services, data jobs, and configuration changes to hybrid infra. - Maintain and enhance CI/CD pipelines for zero-downtime deployments and rollbacks. - Support SRE practices including incident management, post-mortems, and runbook creation. Required Skills : - Bachelors or Masters in Computer Science, Engineering, or related field. - 8+ years in DevOps and SRE roles. - Strong experience with hybrid and on-prem Kubernetes deployments. - Proficiency in infrastructure automation (Terraform, Ansible, Helm). - Experience with data processing and microservices orchestration, supporting real-time data platforms in hybrid or on-premises environments. - Solid understanding of networking, storage, firewalls, and security for hybrid deployments. - Programming/scripting experience with Bash, Python, or Go. - Strong grasp of DevOps best practices, observability, and system reliability engineering. - Experience with AWS/Azure and On-Prem Good to Have : - Experience with data lake/warehouse platforms (HDFS, S3-compatible storage, Redshift, Snowflake). - Knowledge of event-driven architectures, ETL/ELT pipelines, and data mesh concepts. - Exposure to machine learning operations (MLOps) or data science workflows. - Certifications in Kubernetes, cloud platforms, or security are a plus Title : Senior DevOps Engineer On-Premise & Hybrid Cloud Location : Bangalore Experience : 8- 10 years Type : Full-time Role Overview : We are seeking a highly skilled Senior DevOps Engineer to lead infrastructure and deployment efforts for our next-generation data and AI platform. This role focuses on building resilient, scalable systems for on-premises and hybrid environments, supporting microservices, real-time data streaming, and batch processing. You will work closely with architects and engineering teams to design, automate, and scale infrastructure for mission-critical applications involving Kafka, Spark, and distributed storage systems. Key Responsibilities : 1. Infrastructure Design & Automation : - Architect and maintain hybrid and on-premises environments for compute and storage workloads. - Deploy and manage containerized microservices using Kubernetes (on-prem and cloud). - Automate infrastructure provisioning using Terraform, Ansible, or similar tools. - Configure and scale distributed data streaming and storage platforms (eg: Kafka clusters, Apache Spark, and data lake/warehouse). 2. Scalability & Performance : - Design for elastic scaling, load balancing, and resource isolation for data services and APIs. 3. Security & Governance : - Secure hybrid deployments with VPNs, firewalls, and identity management. - Implement data access controls, audit trails, and encryption across services and storage layers. - Manage secrets securely across environments. 4. Monitoring, Logging & Resilience : - Set up observability stacks (Prometheus, Grafana, ELK, OpenTelemetry) for real-time insight. 5. CI/CD & Operations : - Build pipelines to deploy services, data jobs, and configuration changes to hybrid infra. - Maintain and enhance CI/CD pipelines for zero-downtime deployments and rollbacks. - Support SRE practices including incident management, post-mortems, and runbook creation. Required Skills : - Bachelors or Masters in Computer Scien
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