WFH opportunity | Lead DevOps/Cloud Engineer

About this role

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

Originally posted on Himalayas