Lead DevOps Engineer

Position Description

We are seeking a visionary and hands-on Lead DevOps Engineer to spearhead the evolution of cloud infrastructure for our data product Datapipes. You will lead a talented team of DevOps engineers, driving the strategy for our scalable, secure, and highly available Enterprise SaaS platform. Your deep expertise in Kubernetes and AWS will be critical in architecting a robust foundation for our rapidly growing data-centric product. You will be responsible for our entire infrastructure lifecycle, from CI/CD and automation to compliance and production stability, all within a fast-paced Agile environment.

Key Responsibilities

• Team Leadership & Mentorship: Lead, mentor, and grow a high-performing team of DevOps engineers. Delegate tasks effectively, manage workloads, and create accurate roadmaps to align with product goals.

• Infrastructure Architecture: Architect, build, and maintain our scalable and secure infrastructure on AWS, with a strong focus on Kubernetes (EKS). Drive long-term infrastructure vision to support a widely-used SaaS product.

• Automation & CI/CD: Design, implement, and manage robust GitOps-based CI/CD pipelines using tools like ArgoCD, Tekton, Prow, and Atlantis to ensure smooth and reliable software delivery.

• Infrastructure as Code (IaC): Champion and enforce IaC best practices using Terraform and CloudFormation (CFT) to ensure consistent, repeatable, and version-controlled environments.

• Cloud & Kubernetes Management: Oversee and optimize core AWS services, including EKS, EC2 Auto Scaling Groups, VPC Networking, RDS, ElastiCache, and ECR. Perform Linux optimization and security hardening for our Kubernetes nodes.

• Compliance & Security: Ensure our infrastructure adheres to key compliance standards such as SOC2 and ISO27001. Implement and manage security best practices across the entire stack.

• Monitoring & Reliability: Develop and manage comprehensive monitoring, logging, and alerting solutions using Prometheus, Grafana, and AWS CloudWatch to ensure high availability and performance.

• Collaboration & Communication: Serve as a key technical liaison for leadership, product teams, and customers. Clearly communicate complex infrastructure concepts and handle technical queries with confidence.Qualifications

Job Requirements

• Overall Experience: 6+ years in DevOps, SRE, or a related field.

• AWS Experience: A minimum of 5+ years of hands-on experience with AWS. (Alternatively, 4+ years with another major cloud provider plus 1+ year of intensive AWS experience).

• Kubernetes Experience: A minimum of 3+ years of deep, hands-on experience managing Kubernetes clusters in a production environment, preferably with EKS.

• Technical Proficiency:

  • IaC: Strong expertise in Terraform and/or CloudFormation.

  • CI/CD: Proven experience building and managing CI/CD pipelines with tools like ArgoCD, Tekton, Prow, or similar.

  • Scripting: Excellent scripting skills in Shell and Python for automation.

  • AWS Services: In-depth knowledge of EKS, EC2 ASG, VPC, RDS, ElastiCache, and ECR.

  • Monitoring: Experience with Prometheus, Grafana, and/or CloudWatch.

• Leadership: Proven experience leading a technical team in a fast-paced, Agile/sprint-based environment.

• SaaS Experience: Demonstrated experience managing and scaling infrastructure for a SaaS product.

• Interpersonal Skills: Excellent communication skills, the ability to mentor team members, switch context quickly, and think strategically about long-term infrastructure needs.

Bonus Points if you have

• Experience with Google Cloud Platform (GCP).

• Familiarity with cloud-native tools like Crossplane, Devtron, or Karpenter.

• Compliance experience with IM8.

• Professional certifications such as CKA/CKS, or AWS Certifications.

• Exposure to data engineering pipelines; specifically, managing IAM roles and permissions for services like AWS Glue, or DataBrew.

• Experience in managing Apache Airflow on kubernetes cluster.

• Experience conducting load testing for performance tuning and resource optimization.