Systems Engineer (Production)

Join Clio, a leading cloud-based legal technology company, as a Systems Engineer in the Production team. You will design, automate, and maintain the infrastructure that powers our products and services. Your focus will be on automation, observability, and reliability, ensuring that every engineering team at Clio can move faster and with confidence. You will collaborate closely with engineers in North America and Europe, driving technical excellence across Clio's production environments.

• Design, build, and maintain the AWS infrastructure supporting Clio’s production environments, ensuring scalability, security, and reliability.
• Implement and evolve Infrastructure-as-Code using Terraform, ensuring reproducibility and compliance, and collaborate with developers to improve CI/CD pipelines.
• Mentor and guide team members, fostering a culture of technical excellence and continuous learning, and partner with Security, MLOps, and Product Engineering teams.
• You’re an experienced platform engineer who thrives on building infrastructure that just works - scalable, secure, and self-healing
• When you're solving problems, you're just as comfortable writing code as you are digging into cloud architecture
• You communicate clearly, enjoy mentoring others, and bring both curiosity and calm to complex challenges
• Experience designing, deploying, and operating AWS infrastructure and managed services (like RDS, EKS, Lambda) at scale
• Strong coding foundation, beyond scripting, with experience in application development or designing and building robust automation frameworks and tooling
• Excellent communication and documentation abilities, with a focus on knowledge sharing and team collaboration
• Experience in container orchestration and cluster management
• Experience with CI/CD systems such as Buildkite, GitHub Actions, etc
• Familiarity with observability platforms (Datadog, Prometheus, Grafana, etc.)
• Expertise with Terraform and infrastructure automation
• Growth mindset when it comes to process improvement and new technologies, especially AI
• Familiarity with Linux systems administration, networking, and troubleshooting
• Experience with relational or non-relational datastores in a production environment
• Expertise with best practices for managing and securing cloud environments at scale
• Prior experience leveraging AI to accelerate yourself and your team through generating code and debugging infrastructure issues
• Experience with Kubernetes (EKS) on AWS in production environments
• Prior experience in platform engineering or developer productivity teams
• Hands-on experience managing and scaling distributed data stores (e.g., MySQL/Aurora) at scale, including troubleshooting database bottlenecks and implementing robust backup and disaster recovery strategies
• Prior experience working with software teams building and shipping applications to the cloud