Systems Engineer (Production)

Requirements

• 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
• 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
• (Desirable) Experience with Kubernetes (AKS) in production environments
• (Desirable) Expertise in Azure cost management, scaling, and multi-account strategies
• (Desirable) Prior experience in platform engineering or developer productivity teams

What the job involves

• We are currently seeking a Systems Engineer, Production to join our Platform Team.
• 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
• 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
• You'll 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