Lead Devops/Cloud Engineer (WFH) | Midshift

About the job: Lead Devops/Cloud Engineer (WFH) | Midshift Work Setup: WFH Training Sched and Setup: Nightshift and might be asked to report on-site Schedule: MIDSHIFT 3PM-12MN MLA Responsibilities: - Lead the design, implementation, maintenance, and continue evolution of our Kubernetes clusters across multiple environments - Architect and maintain infrastructure as code using Terraform - Implement and maintain CI/CD pipelines for reliable, automated deployments - Deploy monitoring, logging, and alerting solutions for infrastructure and applications - Establish security best practices and compliance across cloud resources - Optimize cloud resource utilization for performance, reliability, and cost-efficiency - Design disaster recovery and high availability solutions for critical services - Collaborate with full-stack engineers and data engineers to support application deployment needs - Automate repetitive operational tasks and infrastructure management Required Skills & Experience: - 5+ years of experience in DevOps or Cloud Engineering with at least 2 years in a leadership role, with experience managing others in both project work and career progression - Top 3 non-nego tools: AWS, Terraform, Docker - Understanding of networking concepts and implementation in cloud environments - Strong expertise in Kubernetes administration, deployment, and troubleshooting - Experience implementing and managing CI/CD pipelines - Extensive experience with Terraform for infrastructure as code - Experience designing, implementing, or maintaining systems compliant with ISO 27001 and other security frameworks such as SOC 2, NIST 800-53, or HIPAA requirements - Deep knowledge of AWS services (EKS, IAM, S3, RDS, EC2) - Strong understanding of container technologies (Docker) - Proficiency in scripting languages (Python, Bash) for automation Preferred Qualifications: - Experience with GitOps methodologies and tools - Experience with authentication services like Auth0 - Knowledge of database management and optimization in cloud environments - Familiarity with serverless architectures and technologies - Background in advertising technology or marketing analytics infrastructure Originally posted on Himalayas