Cloud Performance Engineering - Site Reliability Engineer

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

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 and documenting knowledge.

Passionate about Infrastructure as code, automation, and developing solutions that help developers move quickly and safely.

Familiarity with infrastructure management and operations lifecycle concepts and ecosystem.

Experience operating and maintaining production systems in a Linux and public cloud environment.

You have prior experience working in high-performance or distributed systems, while we strive to hire at a variety of experience levels.

Working knowledge of industry best practices regarding information security

Previous experience building or maintaining a large-scale Cloud service.

Proven ability to prioritize and track multiple projects in parallel.