DevOps Engineer

DevOps Engineer (AWS)

Pay Range : $60 / hour to $78 / hour

About the Role

We are seeking a talented and hands-on DevOps Engineer (AWS Focused) for a project-based assignment supporting cloud-native client solutions. In this role, you will design, implement, and maintain scalable, secure, and automated AWS infrastructure while collaborating closely with developers, architects, and project managers.

You’ll play a key role in building and optimizing CI / CD pipelines, implementing Infrastructure as Code, and ensuring reliable, high-performing cloud environments. This position is hybrid, requiring onsite presence two days per week in Agoura Hills, CA.

Key Responsibilities

Design, deploy, and manage scalable and secure AWS environments (EC2, ECS / Fargate, Lambda, CloudFormation, CloudWatch)

Build, optimize, and maintain CI / CD pipelines using GitLab

Implement and manage Infrastructure as Code using OpenTofu and Terraform

Automate environment provisioning, deployments, and scaling

Monitor, troubleshoot, and improve cloud infrastructure for performance, reliability, and cost efficiency

Define and enforce security and compliance best practices (IAM, VPC, encryption, backups)

Collaborate with software engineering teams to streamline DevOps workflows

Participate in on-call rotations to support critical systems

Required Qualifications

4+ years of experience in DevOps, Cloud Engineering, or a related role

Strong hands-on experience with AWS services (EC2, ECS / Fargate, IAM, VPC, CloudWatch)

Proficiency in GitLab CI / CD pipeline configuration and deployment automation

Experience using OpenTofu or Terraform for infrastructure provisioning

Proficiency in Bash, Python, or similar scripting languages

Strong knowledge of Linux system administration and networking fundamentals

Experience with containerized environments (Docker, ECS, and / or Kubernetes)

Excellent problem-solving, collaboration, and communication skills

Nice to Have

AWS certifications (e.g., DevOps Engineer, Solutions Architect)

Experience with Kubernetes, EKS, or Ansible

Familiarity with monitoring and observability tools such as Grafana, Prometheus, or Datadog

Experience managing multi-account or multi-region AWS environments

Knowledge of cost optimization and observability best practices