Senior Devops Engineer

Career Tree Hr Solutions

Bengaluru

On-site

INR 1,500,000 - 2,300,000

Full time

14 days+

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Job summary

Career Tree Hr Solutions in Bengaluru seeks an experienced DevOps/SRE professional to design and operate hybrid and on-prem infrastructure for compute and storage workloads. You will deploy containerized microservices with Kubernetes across on-prem and cloud, and automate provisioning using Terraform and Ansible.

The role focuses on elastic scaling, secure deployments, data streaming platforms, and robust CI/CD pipelines to enable zero-downtime releases in a hybrid environment.

Qualifications

  • 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 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.

Responsibilities

  • 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).
  • Design for elastic scaling, load balancing, and resource isolation for data services and APIs.
  • 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.
  • Set up observability stacks (Prometheus, Grafana, ELK, OpenTelemetry) for real-time insight.
  • 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.

Skills

Kubernetes
Terraform
Ansible
Helm
CI/CD pipelines
Observability
Security
Bash/Python/Go

Education

Bachelor's or Master’s in Computer Science

Tools

Prometheus
Grafana

Job description

Key Responsibilities
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)).
Scalability & Performance
  • Design for elastic scaling, load balancing, and resource isolation for data services and APIs.
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.
Monitoring, Logging & Resilience
  • Set up observability stacks (Prometheus, Grafana, ELK, OpenTelemetry) for real-time insight.
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 Master’s in Computer Science, Engineering, or related field.
  • 8+ years in DevOps and SRE roles.
  • Strong experience with hybrid and on-premKubernetes 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.
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