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

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