DevOps Lead
At a glance
Senior DevOps & Release role at RTS. Remote, United States · full-time · no salary stated · we estimate $144,315–$189,750 across the United States.
RTS has not published a salary for this role. The figure below is our estimate, not theirs.
devopsroles summary, based on the employer's posting.
What you'll do
- Build and improve resilient cloud infrastructure across AWS, Azure or GCP environments
- Create CI/CD pipelines and automate infrastructure with tools such as Terraform or Ansible
- Run Docker-based services on Kubernetes and strengthen monitoring, logging and observability
- Guide DevOps team members while working with engineering, security and product to improve releases
- Address infrastructure issues, apply security and governance controls, and reduce cloud costs
What you bring
- At least eight years in DevOps, SRE or platform engineering, including two years leading a team
- Strong experience with multi-cloud platforms and CI/CD systems such as Jenkins or GitHub Actions
- Hands-on knowledge of Terraform or Ansible, Docker, Kubernetes, and monitoring platforms
- A computer science or IT degree, a related qualification, or equivalent practical experience
Who this fits
This senior role suits someone who can lead technical work and mentor DevOps teammates while collaborating across engineering, security and product. It is a full-time remote position for someone in the United States.
From the employer
Position Summary
The DevOps Lead Engineer is responsible for leading the design, implementation, and optimization of scalable, secure, and resilient cloud infrastructure and CI/CD pipelines across multi-cloud environments (AWS, Azure, or GCP). This role drives infrastructure-as-code adoption, container orchestration, and observability practices while ensuring high system reliability and operational efficiency. The DevOps Lead Engineer mentors and guides DevOps team members, collaborates closely with engineering, security, and product teams, and embeds best practices in automation, governance, and cost optimization to support innovation and platform stability at scale.
Key Responsibilities
Lead the design and implementation of scalable, resilient cloud infrastructure across AWS, Azure, or GCP environments
Architect, build, and optimize CI/CD pipelines using tools such as Jenkins, GitLab CI, GitHub Actions, or Azure DevOps
Champion infrastructure-as-code practices using Terraform, Ansible, or similar automation tools
Design and manage containerized environments using Docker and orchestrate workloads with Kubernetes or managed Kubernetes services
Establish and enhance monitoring, logging, and observability platforms using tools such as Prometheus, Grafana, Datadog, or cloud-native monitoring solutions
Lead DevOps team members by providing technical guidance, mentorship, and performance support
Collaborate cross-functionally with engineering, security, and product teams to streamline release cycles and improve deployment reliability
Implement and enforce cloud security best practices, governance standards, and compliance requirements
Drive cloud cost optimization strategies and infrastructure efficiency initiatives
Promote a culture of automation, reliability, and continuous improvement across platform and engineering teams
Troubleshoot complex infrastructure and deployment issues, ensuring minimal disruption to business operations
Contribute to documentation, standards development, and long-term platform architecture strategy
Other duties as assigned
Qualifications
Bachelor’s degree in Computer Science, Information Technology, or related field (or equivalent experience)
8+ years of experience in DevOps, SRE, or platform engineering
Minimum 2 years in a leadership or team-lead capacity
Strong expertise in multi-cloud environments (AWS, Azure, or GCP)
Deep experience with CI/CD tooling (Jenkins, GitLab CI, GitHub Actions, Azure DevOps)
Proficiency in infrastructure-as-code tools (Terraform, Ansible)
Hands-on experience with containerization (Docker) and Kubernetes orchestration
Experience with monitoring and observability platforms (Prometheus, Grafana, Datadog)
Strong scripting skills (Python, Bash, or similar)
Solid understanding of networking, cloud security best practices, and cost optimization strategies
Proven ability to lead technical teams and collaborate cross-functionally
Relevant cloud certifications preferred
Alignment with RTS Core Values
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