You will be doing

• End-to-End Pipeline Management: Design, implement, and maintain pipelines for provisioning, deploying, and scaling applications from start to finish.
• Cloud Services Mastery: Lead the charge in managing and optimizing AWS services, with a focus on EKS, CloudFront, and IAM.
• Container Orchestration: Architect and manage Kubernetes clusters, particularly with EKS, ensuring smooth deployment and scaling of microservices.
• Event Streaming Expertise: Administer and maintain Kafka Confluent clusters for high availability and performance in event-driven architectures.
• Continuous Deployment Excellence: Implement and manage ArgoCD for GitOps-style continuous deployment, ensuring swift and secure application releases.
• Monitoring and Logging Excellence: Configure and maintain the Grafana Stack, including Loki, for comprehensive monitoring and logging, collaborating with teams to craft effective alerts and dashboards.
• Performance Monitoring Mastery: Utilize Datadog for Application Performance Monitoring (APM) and Application Security Management (ASM) to identify and address performance bottlenecks and security vulnerabilities.
• Incident Management Proficiency: Demonstrate adeptness with incident management tools such as PagerDuty, OpsGenie, or similar, ensuring timely and effective response to incidents.
• Collaboration and Documentation: Work closely with cross-functional teams to understand their infrastructure needs and provide tailored solutions, while also maintaining comprehensive documentation for infrastructure configurations, processes, and best practices.

Requirements:

• Proven experience as a DevOps Engineer or similar role at least 4-5 years
• Deep knowledge of AWS services, particularly EKS, CloudFront, and IAM.
• Expertise in infrastructure tools, including Terraform, Terragrunt, and scripting languages such as Python.
• Hands-on experience with containerization and orchestration tools, especially Kubernetes.
• Familiarity with CI/CD pipelines and tools like GitHub.
• Experience with incident management tools like PagerDuty, OpsGenie, or similar.
• Excellent problem-solving and troubleshooting skills.
• Strong communication and collaboration skills.

“Good to have” Qualifications:

• AWS certifications (e.g., AWS Certified DevOps Engineer).
• Experience in managing and optimizing Node.js and Python applications.
• Knowledge of AI-related infrastructure and tools.