WFH opportunity | Lead DevOps/Cloud Engineer

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Work Setup: WFH Training Sched and Setup: Nightshift and might be asked to report onsite 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

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