Site Reliability Engineer

Role Overview

• Define and implement SLIs, SLOs, and error budgets for critical CloudBlue services to ensure reliability and performance
• Influence system architecture with a strong focus on reliability, scalability, and operability, designing systems for fault tolerance, graceful degradation, and self-healing
• Reduce operational toil by identifying opportunities for automation and process improvement
• Design and operate CloudBlue’s observability stack across metrics, logs, and traces using tools such as Datadog, Grafana, and Elastic Stack
• Develop actionable alerting strategies and dashboards that provide clear insight into platform and business health
• Design and maintain high-availability architectures, implementing redundancy, failover, and disaster recovery strategies across regions and availability zones
• Conduct capacity planning, load testing, and performance optimization to ensure platform stability and scalability
• Act as a senior responder during production incidents, leading incident coordination, communication, and service restoration
• Own blameless postmortems and drive improvements that reduce incident frequency, MTTR, and customer impact
• Improve reliability of Kubernetes-based platforms through health checks, autoscaling strategies, rollout safety, and resilience testing
• Partner with engineering and DevOps teams to improve deployment safety, rollback strategies, and platform reliability
• Maintain runbooks and operational documentation, and promote SRE best practices across engineering teams
• Support other tasks or projects as assigned to meet team and business needs

Requirements

• 3+ years of experience as an SRE, DevOps Engineer, or Production Engineer, with strong ownership of production systems
• Proven experience operating highly available, enterprise-grade, multi-tenant SaaS platforms
• Hands-on experience with observability and monitoring tools such as Datadog, Grafana, and Elasticsearch/Kibana
• Solid understanding of Linux, networking, and distributed systems fundamentals
• Experience working with containerized environments such as Docker and Kubernetes
• Strong scripting and automation skills using Python and/or Bash
• Experience participating in on-call rotations and incident response in production environments
• Strong written and spoken English
• Experience defining SLIs/SLOs and managing error budgets at scale will be considered a plus
• Exposure to hyperscale or service-provider-grade platforms is an advantage
• Cloud experience, preferably with Azure; experience with AWS and/or GCP will also be valued
• Experience working with hybrid or on-premises integrations is beneficial
• Familiarity with chaos engineering and resilience testing will be considered an asset

Tech Stack

• AWS
• Azure
• Cloud
• Distributed Systems
• Docker
• ElasticSearch
• Google Cloud Platform
• Grafana
• Kubernetes
• Linux
• Python

Benefits

• A competitive salary that values you and your unique skill sets
• Career advancement & professional development opportunities to help you reach your full potential
• Flexible work arrangements to support work/life balance