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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