Cloud Performance Engineering - Site Reliability Engineer

Working for a company like Smile Digital Health means supporting our mandate for #BetterGlobalHealth. We strive towards this goal every day, and the results can be seen in the impact of our innovative health data platform and data management solutions, which are used in over 20 countries. We were #19 on Deloitte's Technology Fast 50 Ranking for 2024! Smile Digital Health makes it easy for healthcare stakeholders to collect and exchange data with our leading FHIR-based data liberation platform. At its heart, the Smile platform enables people and organizations to better manage healthcare data. We help generate and liberate structured healthcare data to ensure effective delivery across care teams and health systems bringing #BetterGlobalHealth to patients everyday! Apply today and find plenty of reasons to SMILE! The Cloud Site Reliability Engineer (SRE) is responsible for ensuring the reliability, scalability, and performance of production-grade services deployed across multiple cloud vendors and infrastructure platforms for Smile Digital Health, its clients, and partners. This role designs and automates performance testing frameworks, integrates them into CI/CD pipelines, and uses observability tools to proactively detect and resolve bottlenecks. Working closely with engineering, product, and security teams, the SRE ensures systems meet strict SLAs for performance and availability while driving continuous optimization across multiple cloud platforms. Responsibilities: • Collaborate with our Security Operations teams to help define and implement best practices around Cloud Service Provider configuration for Azure and other cloud providers. • Develop, implement and coordinate a multi-tenant approach around service offerings for DB, Container platform, Authentication, Certificates, and Product Registries etc. • Design and maintain performance testing strategies, framework, and environments in the cloud. • Develop and maintain cost/utilization tracking and attribution processes for all Cloud Service Providers. • Create documentation around Cloud Service Provider offerings detailing use cases, best practices, and implementation details. • Develop and maintain technical relationships with our core Cloud Service Providers. • Implement and maintain a secure and scalable infrastructure platform for delivering Cloud Services applications. • Ensure that internal and external SLA s meet and exceed expectations, and ensure that system centric KPIs are continuously monitored and improved. • Create tools for automating deployment, monitoring and operations of the overall platform. • Participate in an on-call rotation to provide application support, incident management, and troubleshooting. • Provide ongoing maintenance and support of internal tools, improve system health and reliability. • Assist customers with the on-site deployments when needed. • Implement and manage observability tools (logging, metrics, tracing) for performance insights, Otel and Grafana Stack preferred Requirements: • Demonstrated expertise in cloud service providers and best practices around implementation and configuration, preferably managing Azure on behalf of multiple teams for a company that delivers SaaS products. • Proven experience working with microservices architecture, with a strong focus on Java-based services. • Experience in applying chaos engineering practices to evaluate and enhance system resiliency. • Skilled in troubleshooting performance issues, including analyzing time consumption, allocating resources, and recommending optimizations. • Familiar with performance testing methodologies and tools to assess system behavior under load. • Experience with deployment and usage of observability tools such as Prometheus and the Grafana suite. • Proven experience designing and executing performance test plans (load, stress, soak, and spike testing) to validate that application services sustain 500+ transactions per second (TPS) within defined latency and error-rate thresholds. • Hands-on experience with performance/load testing tools such as JMeter, Gatling, Azure Load Testing • Experience tuning and validating autoscaling (Kubernetes/OpenShift HPA, Azure scale sets) to ensure required TPS is met under variable load without breaching cost or resource constraints • Experience tuning Kafka (partitioning, consumer group sizing, throughput/latency trade-offs) and other messaging/queueing components to sustain target transaction rates. • Experience with Azure-native monitoring and diagnostics (Azure Monitor, Application Insights, Log Analytics) to correlate throughput, latency, and error metrics during test execution. • Proven experience with Security and Compliance (SOC2, HIPAA, ISO27001) best practices and how to implement controls that support high-velocity software delivery teams. • Proficiency in Terraform, Ansible or Chef. • Expertise in troubleshooting, support escalation, on-call process optimization an...