We are looking for an experienced Performance Test Engineer with strong expertise in performance testing, k6, Microsoft Azure, microservices, and cloud-native platforms. The ideal candidate should have hands-on experience in load, stress, spike, soak, scalability, and failover testing, along with strong knowledge of Azure monitoring, observability, AKS, databases, caching, and CI/CD automation.

Job Highlights

Experience: 5–8 Years

Job Title: Performance Test Engineer

Job Location: Open

Education Qualification: Bachelor’s or Master’s Degree in Computer Science, Engineering, or a related field

Job Details

• Develop realistic workload models for end-to-end user journeys across application and infrastructure components.
• Design and develop k6 performance tests for REST, gRPC, WebSocket, and GraphQL APIs.
• Implement correlation, parameterization, thresholds, checks, scenarios, and think-time modeling in performance tests.
• Execute load, stress, spike, soak, scalability, failover, and AKS autoscaling tests.
• Validate HPA and Cluster Autoscaler behavior under different workload conditions.
• Integrate k6 performance tests into Azure DevOps or GitHub Actions pipelines with automated quality gates.
• Analyze performance telemetry using Azure Application Insights, Azure Monitor, Log Analytics, KQL, distributed tracing, and dashboards.
• Identify performance bottlenecks across application, container, database, cache, storage, and network layers.
• Assess performance impact across HA, DR replication, TDE, backup, and restore scenarios.
• Prepare executive and technical performance reports with findings, risks, and recommendations.

Required Skills

• 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.
• 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.
• Strong understanding of HTTPS/REST, gRPC, WebSockets, SignalR, GraphQL, OAuth2/OIDC, and Entra ID token handling.
• 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.
• 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.
• Understanding of Entra ID, Key Vault, TDE, certificates, Availability Zones, HA, DR replication, and autoscale capabilities.
• Strong knowledge of Docker, Kubernetes, kubectl, Helm, Git, YAML, Bash, and PowerShell.
• Experience integrating performance tests into CI/CD pipelines with automated 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 statistics, Query Store, DMVs, and indexing strategies.
• Experience analyzing Redis cache behavior including hit/miss ratios, eviction policies, and connection pool tuning.
• Experience correlating k6 test runs with Application Insights telemetry using custom headers and test IDs.
• Strong root-cause analysis skills across CPU, memory, GC, thread pool, database, cache, and network layers.

Preferred Skills

• Ability to define performance test strategies based on architecture, non-functional requirements, and SLAs.
• Experience defining performance strategies for microservices, APIs, PAS OE, Data Server, and database layers.
• Understanding of Azure Arc for hybrid and edge-enabled cloud environments.
• Experience working with distributed Dev, QA, and SRE teams.
• Experience with cloud-native healthcare platforms is an added advantage.

Soft Skills

• Strong analytical and problem-solving skills.
• Ability to clearly communicate performance risks, findings, and recommendations.
• Strong collaboration and stakeholder management skills.
• Self-driven approach with the ability to work effectively with distributed teams.

Certificate: Performance Testing / Azure Certification (Good to have)

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