Lead Devops / Cloud Engineer (WFH)

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