Systems Engineer, Production
Role details
Job location
Tech stack
Job description
The Systems Engineering team at Clio builds and operates the systems that power all of our cloud-based products and services. We design, automate, and maintain the infrastructure that enables our global teams to deliver reliable, secure, and scalable solutions to thousands of customers every day.
Our mission is to make deploying and operating software effortless and safe. We focus on automation, observability, and reliability, ensuring every engineering team at Clio can move faster and with confidence.
You'll be part of a globally distributed team, collaborating closely with engineers in North America and Europe, driving technical excellence across Clio's production environments.
Who you are:
You're an experienced Azure engineer who thrives on building infrastructure that just works - scalable, secure, and self-healing. You're obsessed with automation, love digging into cloud architecture, and enjoy mentoring others on best practices.
You understand what great DevOps looks like - continuous delivery, observability, feedback loops - and you know how to turn those principles into reality. You communicate clearly, solve problems creatively, and bring both curiosity and calm to complex challenges.
What you'll work on:
- Design, build, and maintain the Azure infrastructure supporting Clio's production environments.
- Implement and evolve Infrastructure-as-Code using Terraform, ensuring reproducibility and compliance.
- Collaborate with developers to improve CI/CD pipelines, deployment strategies, and overall developer experience.
- Enhance observability and reliability, refining alerting, monitoring, and incident response.
- Lead cloud optimization projects, improving performance, cost efficiency, and security posture.
- Mentor and guide team members, fostering a culture of technical excellence and continuous learning.
- Partner with Security, DevOps, and Product Engineering teams to deliver scalable, resilient, and compliant systems.
Requirements
-
Deep experience designing, deploying, and operating Azure infrastructure at scale.
-
Strong expertise with Terraform and infrastructure automation.
-
Solid understanding of Azure services
-
Familiarity with observability platforms (Datadog, Prometheus, Grafana, etc.).
-
Proficiency in containerization (Docker, Kubernetes).
-
Coding skills in Bash, Python, Ruby, or Go.
-
Excellent communication and documentation abilities, with a focus on knowledge sharing and team collaboration
-
Demonstrate a keen interest in improving your craft by using AI
Serious bonus points if you have:
- Experience with Kubernetes (AKS) in production environments.
- Expertise in Azure cost management, scaling, and multi-account strategies
- Prior experience in platform engineering or developer productivity teams.