Senior Site Reliability Engineer, Docplanner

• We’re after someone who brings fresh ideas, a unique perspective, and things like an owner — just like us — to build practical solutions and great user experiences every step of the way
• Monitoring and observability - Experience with monitoring stack like DataDog / OTEL / Prometheus
• Detective mindset - Strong investigative mindset with a detective-like approach to troubleshooting and resolving complex issues
• .NET experience - Familiar with .NET environment and ability to code
• AWS experience - Experience working with AWS services and cloud-native architectures
• Kubernetes - Practical experience deploying, managing, and troubleshooting applications in Kubernetes; understanding of containers, Helm, and scaling strategies
• Think like an owner - Proactive approach to identifying problems, performance bottlenecks, and areas for improvement
• Communicator – Equally fluent when talking to humans or machines; clear, effective communication across teams and tools

Desirable

• At Docplanner, we love building software that makes a real difference
• Our site reliability engineers (SREs) play a key role in making sure our users get powerful features, fast performance, and rock-solid reliability — so they can focus on what matters most to them
• As more and more customers rely on our platform, we’re looking for an experienced SRE to help us build great foundations
• Operate production environments by monitoring availability and taking a holistic view of system health
• Measure and optimize system performance to stay ahead of customer needs and drive continuous innovation
• Improve reliability, quality, and time-to-market of our suite of software solutions
• Provide primary operational support and engineering expertise for multiple large-scale, distributed software applications
• Ensure reliability and availability of systems through monitoring, alerting, and incident response
• Investigate and resolve incidents, perform root cause analysis, and implement long-term fixes
• Define and maintain SLOs/SLIs to measure and drive service quality
• Continuously improve performance and optimize infrastructure cost and resource usage
• Collaborate with developers to build scalable, fault-tolerant systems and improve deployment practices
• Automate operational tasks to reduce manual toil and improve efficiency