Performance Test Engineer

Sunovaa Tech; Bengaluru; On-site; INR 2,400,000 - 3,600,000; Full time

Job summary

Sunovaa Tech is seeking a performance testing expert to design and execute comprehensive performance tests for cloud-native healthcare apps. You will build workload models, end-to-end user journeys, and maintain k6 scripts for REST, gRPC, WebSocket, and GraphQL APIs.

The role includes validating Azure AKS deployments, HPA, and integrating tests into CI/CD pipelines, with strong focus on observability. The ideal candidate has hands-on k6 experience, cloud-native testing expertise, and a solid

Qualifications

• Experience designing and executing performance tests (load, stress, spike, soak, failover).
• Hands-on with k6 scripting and modern CI/CD integration.
• Strong knowledge of Azure, AKS, and cloud-native architectures.
• Familiarity with observability tools (Grafana, Prometheus, Log Analytics).
• Bachelor's or Master's degree in CS/Engineering or related field.

Responsibilities

• Design and execute performance, load, stress, spike, soak, scalability, and failover testing for cloud-native healthcare apps.
• Develop workload models and end-to-end user journeys from business scenarios and SLAs.
• Create k6 performance scripts for REST, gRPC, WebSocket, GraphQL APIs with metrics and thresholds.
• Run performance tests on Azure and AKS/Kubernetes, including HPA validation.
• Integrate tests into Azure DevOps/GitHub Actions pipelines with quality gates.

Skills

Performance testing

Load testing

Troubleshooting

Stakeholder management

Cloud-native architecture

Microservices

Observability

Education

Bachelor's or Master's degree in Computer Science, Engineering, or related field

Tools

k6

Azure DevOps

GitHub Actions

Azure Monitor

Grafana

Prometheus

KQL

Azure SQL

Redis

Job description

Role & Responsibilities

• Design and execute performance, load, stress, spike, soak, scalability, and failover testing for cloud-native, microservices-based healthcare applications.
• Develop realistic workload models and end-to-end user journeys based on business scenarios, SLAs, and capacity requirements.
• Create and maintain k6 performance scripts for REST, gRPC, WebSocket, and GraphQL APIs, including correlation, parameterization, checks, thresholds, and think-time modeling.
• Perform performance testing on Microsoft Azure and AKS/Kubernetes, including HPA and Cluster Autoscaler validation.
• Integrate performance tests into Azure DevOps/GitHub Actions CI/CD pipelines with automated performance thresholds and quality gates.
• Monitor and analyze application performance using Azure Application Insights, Azure Monitor, Log Analytics, KQL, Grafana, and Prometheus.
• Identify and troubleshoot performance bottlenecks across application, microservices, containers, databases, Redis cache, storage, and network layers.
• Analyze Azure SQL performance using execution plans, Query Store, DMVs, wait statistics, and indexing strategies.
• Analyze Redis cache performance, including cache hit/miss ratio, eviction behavior, latency, and connection pool utilization.
• Conduct root cause analysis for CPU, memory, GC, thread pool, database, cache, network, and infrastructure-related issues.
• Validate performance impact of HA, DR, backup/restore, TDE, replication, and autoscaling scenarios.
• Prepare clear technical and executive performance reports covering findings, risks, bottlenecks, SLA breaches, and recommendations.
• Collaborate with Development, QA, DevOps, SRE, and business teams to define performance strategies and resolve identified issues.

Preferred Candidate Profile

• 58 years of experience in Performance Testing/Performance Engineering.
• Strong hands-on experience with k6 and performance test scripting.
• Minimum 3+ years of experience testing microservices in cloud environments, preferably Azure.
• Strong experience with Microsoft Azure, AKS/Kubernetes, Azure Application Insights, Azure Monitor, Log Analytics, and KQL.
• Proven experience with load, stress, spike, soak, scalability, and failover testing.
• Hands-on experience with REST APIs and exposure to gRPC, WebSockets, GraphQL, OAuth2/OIDC, and Entra ID.
• Good understanding of Docker, Kubernetes, Helm, Git, YAML, Bash, and PowerShell.
• Experience integrating performance testing into Azure DevOps or GitHub Actions CI/CD pipelines.
• Strong knowledge of Grafana, Prometheus/Azure Managed Prometheus, and observability practices.
• Experience troubleshooting Azure SQL and Redis performance and performing end-to-end root cause analysis.
• Strong understanding of microservices architecture, API gateways, resiliency patterns, retries, circuit breakers, throttling, and autoscaling.
• Strong analytical, troubleshooting, communication, and stakeholder-management skills.
• Bachelor's or Master's degree in Computer Science, Engineering, or a related field.