Senior DevOps Engineer (Terraform)
Company: Endava
Location: Remote, , United States (Remote)
Type: Full-time
Remote: Yes
Posted: 2026-09-11
About this role
Technology is our how. And people are our why. For over two decades, we have been harnessing technology to drive meaningful change.
By combining world-class engineering, industry expertise and a people-centric mindset, we consult and partner with leading brands from various industries to create dynamic platforms and intelligent digital experiences that drive innovation and transform businesses.
From prototype to real-world impact - be part of a global shift by doing work that matters.
- Design, build, and manage cloud infrastructure using Terraform.
- Develop reusable Infrastructure as Code (IaC) modules and templates.
- Architect and support cloud environments in AWS, Azure, or GCP.
- Build and maintain CI/CD pipelines to automate application and infrastructure deployments.
- Implement and support Docker and Kubernetes environments.
- Develop automation using Python, Bash, or similar scripting languages.
- Implement monitoring, logging, and alerting solutions.
- Troubleshoot production infrastructure and provide on-call support as needed.
- Collaborate with development, QA, and architecture teams to improve deployment and operational processes.
- Apply DevOps best practices and support AI-enabled cloud initiatives.
- Bachelor's degree in Computer Science, Information Technology, or a related field (or equivalent experience).
- 5+ years of DevOps, Cloud Engineering, or Infrastructure Engineering experience.
- Strong hands-on experience with Terraform.
- Experience with AWS, Azure, or Google Cloud Platform (GCP).
- Experience with Docker and Kubernetes.
- Experience building CI/CD pipelines using Jenkins, GitLab CI, CircleCI, or similar tools.
- Proficiency in Python, Bash, or other scripting languages.
- Experience with configuration management tools such as Ansible, Puppet, or Chef.
- Knowledge of cloud security, Infrastructure as Code, and DevOps best practices.
- Familiarity with AI concepts including Machine Learning, Large Language Models (LLMs), ...