Senior DevOps Engineer

Job details

Location

Noida/Indore/Pune

Experience

3+ years

As a DevOps Engineer, you will be responsible for building, automating, and maintaining scalable infrastructure and deployment pipelines across cloud and on-prem environments. The role includes managing Linux servers, deploying applications on Kubernetes, ensuring security compliance, and optimizing distributed system performance. You will configure CI/CD processes, monitor critical services, implement observability, and support developers with DevOps best practices. Responsibilities include troubleshooting infrastructure issues, improving deployment automation, overseeing certificate/security management, and ensuring system reliability and high availability.

Build, automate, and maintain scalable infrastructure and deployment pipelines across cloud and on-prem environments
Manage Linux servers with expertise in system administration, troubleshooting, hardening, and shell scripting
Deploy and manage applications on Kubernetes with stateful services, persistent volumes, Helm charts, and operators
Configure CI/CD processes and support developers with DevOps best practices
Monitor critical services and implement observability solutions
Troubleshoot infrastructure issues, deployment failures, networking, and distributed application problems
Oversee certificate management, security hardening, and system reliability
Ensure system reliability and high availability standards

4+ years of hands-on DevOps experience
Strong understanding of DevOps practices, CI/CD pipelines, automation, and environment management
Hands-on experience installing, configuring, and optimizing distributed systems across multi-node environments
Strong hands-on experience with Kubernetes including deploying stateful services, persistent volumes, Helm charts, operators, and cluster administration
Proficiency with Infrastructure as Code (IaC) tools such as Terraform, Ansible, Helm, or similar
Knowledge of cloud platforms (AWS, Azure, GCP) including networking, IAM, storage, compute, security, and managed services
Experience with monitoring and observability tools such as Prometheus, Grafana, ELK/EFK, CloudWatch, or Datadog
Strong understanding of security best practices including certificate-based authentication, secrets management, encryption, TLS/SSL, RBAC, and cloud security
Strong troubleshooting skills for infrastructure, deployment failures, networking, and distributed application issues
Linux experience is mandatory including system administration, troubleshooting, hardening, and shell scripting

DevOps experience with Big Data technologies such as NiFi, Kafka, Spark, Cassandra, Hadoop, Hive, or similar distributed data systems
Ability to create and maintain detailed documentation for deployments, infrastructure, troubleshooting guides, and SOPs
Familiarity with certificates, rotation policies, and managing PKI infrastructure
Working knowledge of cloud-native tools like Kustomize and Kubernetes Operators
Understanding of logging, tracing, alerting, and capacity planning in distributed systems
Familiarity with networking concepts, load balancing, and DNS
Experience with SRE/DevOps best practices such as reliability engineering, error budgets, SLIs/SLOs/SLAs