Senior SDET – Performance Testing

HighLevel

. Establish performance baselines for critical services, including SLIs, SLOs, latency, throughput, error-rate targets, and workload models based on production traffic and customer behavior .

Posted 11/3/2026full-timeRemote • IndiaSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in performance engineering, including establishing SLIs and SLOs, conducting various types of performance testing, and analyzing system bottlenecks. Proficient in integrating performance tests into CI/CD pipelines and mentoring junior team members to enhance team capabilities.

Highest-signal resume keywords

Performance EngineeringLoad Testing ToolsProgramming Skills in PythonKubernetes and Cloud PlatformsObservability Tooling

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Performance BaselinesLoad TestingCapacity PlanningPerformance Metrics AnalysisAutomated Performance ChecksRuntime ProfilingConcurrency and CachingChaos TestingNoSQL DatastoresAI-Assisted Tooling

Soft Skills

MentoringCollaborationInfluencing Technical Decisions

Tools & Technologies

KubernetesNew RelicPrometheusGrafanaOpenTelemetryK6GatlingLocustCore Web VitalsLighthouse

Industry Keywords

Performance TestingScalability EngineeringReliability EngineeringCI/CD IntegrationProduction Traffic Analysis

Tech Stack

Tools & technologies

AWSAzureCloudGoogle Cloud PlatformGrafanaJavaJavaScriptKubernetesNode.jsNoSQLPrometheusPythonTypeScript

About the role

Key responsibilities & impact

Establish performance baselines for critical services, including SLIs, SLOs, latency, throughput, error-rate targets, and workload models based on production traffic and customer behavior
Build a shared performance testing framework and production-like Kubernetes and cloud environments with test data
Evaluate new performance testing tools through proofs of concept
Implement automated performance regression checks in CI/CD with trend reports
Conduct load, stress, soak, and spike testing
Perform capacity planning ahead of peak events
Analyze bottlenecks across API, database, queue, and frontend layers using traces, metrics, logs, and profiling
Partner with development, DevOps, and infrastructure teams on root cause analysis
Interpret performance metrics and translate findings into actionable engineering recommendations
Influence technical decisions across engineering teams
Supervise and mentor junior team members
Contribute to capability-building initiatives to raise performance standards across the team

Requirements

What you’ll need

5+ years in performance, scalability, or reliability engineering or testing, with examples of finding and fixing bottlenecks in production-scale systems
Hands-on experience with at least one modern load-testing tool (k6, Gatling, or Locust), including realistic workload modeling and distributed load generation
Strong programming skills in Python, JavaScript/TypeScript, or Java
Experience using observability tooling such as New Relic, Prometheus/Grafana, or OpenTelemetry to isolate root cause across API, database, and queue layers
Solid grasp of REST service performance, concurrency, and caching
Experience integrating performance tests into CI/CD pipelines with pass/fail thresholds
Working knowledge of Kubernetes and at least one major cloud platform (GCP, AWS, or Azure)
Runtime profiling and thread or heap analysis on the JVM or Node.js
Frontend performance experience with Core Web Vitals, Lighthouse, or real user monitoring
Experience applying AI-assisted tooling to test design or result analysis
Experience with NoSQL or search datastores and message brokers at scale
Chaos or resilience testing, and safe testing in production using canaries or shadow traffic