Sr. Engineer - Site Reliability Engineer (SRE)

• Lead architecture and design reviews to identify reliability, scalability, and resiliency risks.
• Establish SRE standards, SLOs, SLIs, error budgets, and availability objectives.
• Partner with application engineering teams to design highly available, fault-tolerant systems.
• Improve reliability across cloud-native applications, microservices, and distributed systems.
• Drive observability, performance monitoring, root-cause analysis, and proactive issue prevention.
• Implement resiliency testing, chaos engineering, fault injection, and performance improvements.
• Support Kubernetes, cloud infrastructure, Terraform, CI/CD, and automation initiatives.
• Provide technical leadership during critical production incidents.
• Mentor engineers and collaborate with internal and external technical teams.
• Communicate reliability risks, architectural recommendations, and improvement initiatives to leadership.

We are seeking a highly experienced Senior Site Reliability Engineer (SRE) with strong cloud architecture, distributed systems, and reliability engineering expertise for a direct-hire opportunity in St. Louis, MO.

This is a senior technical leadership position focused on establishing reliability engineering standards, influencing application architecture, and improving the resiliency, scalability, and performance of enterprise platforms., * 10+ years of experience across SRE, Platform Engineering, DevOps, Infrastructure Engineering, Software Engineering, or related disciplines.

• Strong application architecture and distributed systems design experience.
• Deep knowledge of SLOs, SLIs, error budgets, high availability, fault tolerance, and resiliency engineering.
• Strong public cloud expertise; GCP preferred.
• Kubernetes, containerization, and cloud-native architecture experience.
• Infrastructure as Code experience with Terraform or similar tools.
• Strong observability and application performance monitoring experience.
• Experience with CI/CD, automation, scripting, and root-cause analysis.
• Understanding of microservices, APIs, networking, databases, and modern application architectures.
• Proven ability to influence technical decisions and mentor engineering teams.

Preferred Experience

• Dynatrace, Datadog, Grafana, Splunk, or OpenTelemetry.
• Java, Node.js, serverless technologies, and Google Cloud Functions.
• PostgreSQL, Oracle, and Tomcat.
• Chaos engineering, load testing, and disaster recovery.
• Enterprise e-commerce, retail, restaurant, or hospitality technology environments.

• 401(k) matching
• Dental insurance
• Health insurance
• Life insurance
• Paid time off
• Vision insurance