Summary: We are seeking an experienced Senior DevOps Engineer with over 8 years in the field to lead the design, implementation, and management of infrastructure and deployment pipelines across hybrid environments, including on-premises data centers and the cloud. This role requires deep expertise in AWS, Azure, Kubernetes, Infrastructure as Code (IaC), CI/CD, and monitoring tools. The engineer will collaborate closely with development, QA, and operations teams to ensure the delivery of reliable, scalable, and secure enterprise-grade applications. Additionally, the role involves mentoring junior team members and leading automation initiatives.
Responsibilities:
Manage and support hybrid infrastructure, including physical data centers, AWS, and Azure services.
Design and implement Infrastructure-as-Code using tools like Terraform, Pulumi, and CloudFormation.
Configure and maintain Kubernetes clusters, ensuring scalability and high availability.
Build, maintain, and optimize CI/CD pipelines using Jenkins, GitLab CI, Bitbucket, and GitHub.
Automate deployment, scaling, and monitoring processes.
Set up and maintain observability using Grafana, Prometheus, and other monitoring tools.
Perform root cause analysis of performance issues and participate in on-call support.
Manage SSL/TLS and code signing certificates and implement infrastructure security best practices.
Support compliance and audit requirements through documentation and monitoring.
Collaborate with cross-functional teams to improve infrastructure reliability and delivery processes.
Document processes in Confluence, track work in Jira, and contribute to knowledge sharing.
Write root cause analysis and incident post-mortems to prevent future issues.
Required Skills & Experience:
8+ years of experience in DevOps, Site Reliability Engineering, or related roles.
Strong expertise with AWS and Azure services.
Experience with Infrastructure-as-Code tools and GitOps.
Proven experience with Kubernetes/EKS setup and operations.
Proficiency in CI/CD pipelines and GitOps tools.
Strong knowledge of monitoring and observability tools and incident management.
Scripting and automation skills in Python, TypeScript, and Bash/shell.
Understanding of networking, Linux/Windows Server administration, and troubleshooting.
Experience with data streaming, CDC pipelines, and administering relational and in-memory data stores.
Configuration management and server automation experience.
Knowledge of security best practices and familiarity with compliance/audit frameworks.
Soft Skills:
Strong problem-solving and root cause analysis capabilities.
Excellent communication and documentation skills.
Ability to collaborate in team meetings and contribute to on-call rotations.
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