DevOps Engineer
Indexed description
About the role:
An exciting opportunity is available for a Senior DevOps Engineer to design, implement, and manage enterprise DevOps platforms, cloud infrastructure, CI/CD pipelines, and container orchestration environments. This role is ideal for a highly skilled DevOps professional with strong experience in Azure cloud services, Kubernetes, automation, infrastructure management, and observability tools.
The successful candidate will play a key role in building scalable, secure, and high-performing DevOps environments while collaborating closely with engineering and platform teams to improve release processes, platform reliability, and operational excellence.
Key Responsibilities
- Design, build, and maintain scalable DevOps platforms and CI/CD pipelines.
- Automate infrastructure provisioning, deployment, monitoring, and operational processes.
- Manage Azure cloud environments with a focus on security, availability, and performance.
- Implement containerization and orchestration solutions using Docker and Kubernetes.
- Develop and maintain deployment automation using Helm and Ansible.
- Build and support monitoring, logging, and alerting frameworks.
- Troubleshoot complex production and infrastructure issues.
- Collaborate with development teams to streamline release processes and improve platform reliability.
- Implement DevSecOps and infrastructure-as-code best practices.
- Ensure platform compliance, security, and operational excellence.
Required Technical Skills: Azure, Jenkins, Git, Docker, Kubernetes, Helm, Ansible, ELK Stack (Elasticsearch, Logstash, Kibana), EFK Stack (Elasticsearch, Fluentd, Kibana), Python, Bash / Shell Scripting, HashiCorp Vault.
Secondary / Preferred Skills: Terraform, Dynatrace, Prometheus, Grafana, SonarQube, PowerShell.
The ideal candidate will have:
- 6+ years of experience in DevOps engineering or related platform engineering roles.
- Strong hands-on expertise with Azure cloud infrastructure.
- Proven experience working with Kubernetes, Docker, Helm, and Ansible.
- Strong understanding of CI/CD practices and pipeline automation.
- Experience with observability, monitoring, and logging tools.
- Strong scripting and automation capability using Python, Bash, or PowerShell.
- The ability to troubleshoot production issues and drive platform stability.
- Excellent collaboration and communication skills.
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