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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
