Performance Test Engineer

Job Description: Performance Test Engineer Role Summary We are looking for an experienced Performance Test Engineer to plan, execute, and analyze performance tests for a cloud-native, microservices-based healthcare platform on Microsoft Azure. The role focuses on validating scalability, reliability, responsiveness, and resiliency using k6, Azure Application Insights, Azure Monitor, and related observability tools. Experience 5–8 years of experience in performance, load, stress, spike, soak, scalability, and failover testing. 3+ years of hands-on experience testing microservices in cloud environments, preferably Microsoft Azure. Key Responsibilities Develop realistic workload models for end-to-end user journeys across application and infrastructure components. Design and script k6 tests for REST, gRPC, WebSocket, and GraphQL APIs with correlation, parameterization, thresholds, checks, and think-time modeling. Execute load, stress, spike, soak, scalability, failover, and AKS autoscaling tests, including HPA and Cluster Autoscaler validation. Integrate k6 tests into Azure DevOps or GitHub Actions pipelines with automated quality gates. Analyze telemetry using Azure Application Insights, Azure Monitor, Log Analytics, KQL, distributed tracing, live metrics, and dashboards. Identify bottlenecks across application, container, database, cache, storage, and network layers. Assess the performance impact of HA, DR replication, TDE, backup, and restore scenarios. Publish concise executive and technical reports with clear findings, risks, and recommendations. Must-Have Technical Skills Performance Testing Strong hands-on expertise in k6, including scripting, scenarios, executors, modules, thresholds, checks, and xk6 extensions. Experience in workload modeling, capacity planning, and percentile-based SLA analysis. Knowledge of HTTPS/REST, gRPC, WebSockets, SignalR, GraphQL, OAuth2/OIDC, and Entra ID token handling. Azure Monitoring and Observability Expertise in Azure Application Insights, including dependency tracking, distributed tracing, live metrics, availability tests, custom telemetry, and sampling. Experience with Azure Monitor, Log Analytics, KQL, Workbooks, alerts, action groups, Container Insights, VM Insights, and SQL Insights. Working knowledge of Grafana, Prometheus, Azure Managed Prometheus, and Azure Managed Grafana. Azure Cloud and Infrastructure Hands-on understanding of AKS, pods, deployments, HPA, node pools, resource quotas, ingress, and service mesh concepts. Experience with Azure Container Registry, Azure Cache for Redis, Azure SQL Managed Instance, Azure Storage, and Managed Disks. Knowledge of Azure networking, including ExpressRoute, VPN Gateway, NSGs, Private Endpoints, Front Door, App Gateway, and TLS termination. Awareness of Azure security and resiliency capabilities such as Entra ID, Key Vault, TDE, certificates, Availability Zones, HA, DR replication, and autoscale rules. Understanding of Azure local setup and Azure Arc for hybrid and edge-enabled cloud environments. Microservices, DevOps, Database, and Profiling Strong knowledge of Docker, Kubernetes, kubectl, Helm, Git, YAML, Bash, and PowerShell. Experience integrating performance tests into CI/CD pipelines with pass/fail thresholds. Understanding of API Gateway tools such as Traefik, service discovery, retries, circuit breakers, throttling, and microservices resiliency patterns. Ability to analyze Azure SQL MI performance using execution plans, wait stats, Query Store, DMVs, and indexing strategies. Experience analyzing Redis cache behavior, including hit/miss ratio, eviction policies, and connection pool tuning. Ability to correlate k6 test runs with Application Insights telemetry using custom headers and test IDs. Experience performing root cause analysis across CPU, memory, GC, thread pool, database, cache, and network layers. Soft Skills Strong analytical and problem-solving mindset. Ability to communicate performance risks and recommendations clearly to technical and business stakeholders. Self-driven, collaborative, and comfortable working with distributed Dev, QA, and SRE teams. Good-to-Have Ability to define performance test strategy based on architecture, non-functional requirements, and SLAs for microservices, APIs, PAS OE, Data Server, and database layers. Education Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.