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.