Senior DevOps Engineer

Agile; Denver (CO); Hybrid; USD 96,000 - 172,000; Full time

Job summary

Agile Resources, Inc. is seeking a Senior DevOps Engineer for remote contract to modernize cloud infrastructure and automate deployments.

You will design scalable environments, implement IaC with Terraform, and drive robust CI/CD pipelines across platforms. Ideal candidates bring 10+ years in DevOps/SRE, hands-on cloud experience (AWS/Azure/GCP), container tools (Docker, Kubernetes), scripting (Python/Bash), and strong collaboration with cross-functional teams to deliver mission-critical

Qualifications

• 10+ years in DevOps, SRE, Cloud engineering.
• Hands-on with Terraform and IaC.
• Experience across AWS/Azure/GCP and Docker/Kubernetes.
• Scripting in Python or Bash; CI/CD tooling knowledge.
• Strong collaboration and communication skills.

Responsibilities

• Design, build, and maintain scalable cloud infrastructure using IaC.
• Develop and support automated CI/CD pipelines.
• Manage cloud environments across AWS, Azure, and GCP for performance and cost.
• Implement monitoring, logging, and alerting to improve reliability.
• Collaborate with engineers and QA to enable deployments.

Skills

DevOps experience

CI/CD pipelines

Cloud platforms

Python

Bash

Collaboration & communication

Education

Bachelor's degree in Computer Science or related field

Tools

Terraform

Docker

Kubernetes

Jenkins

GitLab CI

CircleCI

Ansible

Puppet

Chef

Job description

Senior DevOps Engineer Remote Contract Candidates represented by 3rd parties will not be considered. Our client is a nationally recognized healthcare organization dedicated to advancing care for individuals living with chronic and complex conditions. Through an extensive network of care delivery models and a strong commitment to innovation, the organization improves patient outcomes by delivering coordinated, technology-enabled healthcare solutions. They are seeking an experienced Senior DevOps Engineer to play a key role in modernizing and automating cloud infrastructure while helping shape the future of enterprise DevOps practices. This position offers the opportunity to design scalable cloud environments, enhance deployment automation, and collaborate with cross-functional engineering teams on mission-critical technology initiatives. If you're passionate about infrastructure automation, cloud technologies, and building reliable CI/CD pipelines, this is an excellent opportunity to make a meaningful impact while working with modern tools and technologies.

Here's what you'll be doing:

• Design, build, and maintain scalable cloud infrastructure using Terraform and Infrastructure as Code (IaC) best practices.
• Develop, enhance, and support automated CI/CD pipelines to streamline application and infrastructure deployments.
• Manage and optimize cloud environments across platforms such as AWS, Azure, or Google Cloud, ensuring security, scalability, performance, and cost efficiency.
• Implement monitoring, logging, and alerting solutions while proactively identifying opportunities to improve system reliability and performance.
• Partner with software engineers, QA teams, and infrastructure stakeholders to support application deployments, troubleshoot production issues, and promote DevOps best practices across the organization.

Here's what our ideal candidate has:

• 10+ years of experience in DevOps, Site Reliability Engineering, Cloud Engineering, or a related infrastructure role.
• Strong hands-on experience with Terraform, cloud infrastructure automation, and Infrastructure as Code methodologies.
• Experience working with public cloud platforms (AWS, Azure, and/or Google Cloud Platform) along with container technologies such as Docker and Kubernetes.
• Proficiency with scripting and automation using languages such as Python or Bash, as well as experience with CI/CD tools including Jenkins, GitLab CI, CircleCI, or similar platforms.
• Solid understanding of configuration management tools (Ansible, Puppet, or Chef), cloud security best practices, serverless architectures, and microservices.
• Familiarity with modern AI technologies and concepts, including Generative AI, Large Language Models (LLMs), machine learning, deep learning, and neural networks.
• Excellent analytical, troubleshooting, and communication skills, with the ability to collaborate effectively across technical and business teams.
• Bachelor's degree in Computer Science, Information Technology, or a related discipline.
• Relevant cloud certifications are highly valued.