Overview
Coupa makes margins multiply through its community-generated AI and industry-leading total spend management platform for businesses large and small. Coupa AI is informed by trillio
Full job description
Coupa makes margins multiply through its community-generated AI and industry-leading total spend management platform for businesses large and small. Coupa AI is informed by trillions of dollars of direct and indirect spend data across a global network of 10M+ buyers and suppliers. We empower you with the ability to predict, prescribe, and automate smarter, more profitable business decisions to improve operating margins.
Why join Coupa? Pioneering Technology: At Coupa, we're at the forefront of innovation, leveraging the latest technology to empower our customers with greater efficiency and visibility in their spend. Collaborative Culture: We value collaboration and teamwork, and our culture is driven by transparency, openness, and a shared commitment to excellence. Global Impact: Join a company where your work has a global, measurable impact on our clients, the business, and each other. Learn more on Life at Coupa blog and hear from our employees about their experiences working at Coupa.
The Impact of a Site Reliability Engineer at Coupa: In this role, you'll drive the reliability, scalability, and performance of our platform, ensuring our systems remain stable as we grow. We value innovation and are seeking someone eager to bring fresh ideas – especially around building automation that reduces manual effort and improving distributed systems resilience. This isn't a top-down organization; our engineers are the ones who flag technical challenges and design the solutions. You will collaborate closely with Platform Engineering, Security, AI Platform, and Product teams to design durable systems and make data-driven operational decisions.
Collaborate with Engineering, Platform, and Security teams to embed SRE best practices early in system design. Lead advancements in observability, monitoring, alerting, and incident-response workflows. Analyze platform performance to contribute to cost-optimization, performance tuning, and resilience planning. Build infrastructure and automation tooling that improves platform reliability and enhances deployment safety. Diagnose and resolve complex production issues across distributed systems, and drive open post-incident reviews so failures translate into durable improvements. Strengthen system consistency and author clear, concise documentation for runbooks and operational processes.
4+ years of experience in SRE, DevOps, platform engineering, or similar production-facing roles. Strong problem-solving and debugging skills in distributed systems to maintain higher platform stability. Eager to share operational guidelines, champion SRE practices across teams, and openly discuss what we can learn from system failures. Excellent communication skills (English is our default language) with a genuine, collaborative approach to working across diverse engineering teams. Strong hands-on experience with cloud environments (AWS, GCP, or similar) and proficiency with infrastructure-as-code and CI/CD pipelines. Familiarity with Kubernetes (or container orchestration), event-driven architectures, or supporting ML/AI workloads and GPU infrastructure.
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