Sr SDET - Performance Testing

Jobgether; India; Remote; INR 1,400,000 - 2,200,000; Full time

Benefits offered by this job

Fully remote working arrangement from:

Full-time opportunity within a Globall

Work on a large-scale cloud platform

Exposure to Kubernetes and cloud infra

Mentor engineers and influence tech-hr

Remote-first collaboration

Job summary

Jobgether is seeking a Senior SDET – Performance Testing based in India to strengthen the quality, scalability, and reliability of a large-scale cloud platform. You will lead performance engineering, design automated frameworks, define benchmarks, and integrate regression testing into CI/CD.

This role involves working across distributed systems and collaborating with DevOps and infrastructure teams. We expect 5+ years in performance testing, hands-on with tools like k6/Gatling/Locust, and strong

Qualifications

• 5+ years of professional experience in performance testing, scalability engineering, reliability engineering, or a closely related discipline.
• Experience identifying, investigating, and resolving performance bottlenecks in production-scale applications and distributed systems.
• Hands-on expertise with a modern performance testing tool (k6, Gatling, Locust).
• Strong programming skills in Python, JavaScript/TypeScript, or Java.
• Experience designing workload models and distributed load generation for large-scale apps.
• Experience with observability/monitoring platforms (New Relic, Prometheus, Grafana, OpenTelemetry).
• Understanding of REST API performance, microservices, concurrency, caching, and bottlenecks.
• Experience integrating automated performance tests into CI/CD with measurable thresholds.

Responsibilities

• Establish performance baselines and SLIs/SLOs for critical services.
• Design and maintain a shared performance testing framework.
• Integrate automated performance regression tests into CI/CD pipelines.
• Conduct load, stress, soak, and spike testing to evaluate system behavior.
• Identify bottlenecks across APIs, databases, queues, and frontend applications.
• Collaborate with DevOps and infrastructure teams to resolve issues and improve efficiency.
• Provide technical leadership and mentor junior engineers.

Skills

Performance testing

Load testing

CI/CD

Distributed systems

Root cause analysis

Code reviews

Tools

Kubernetes

Gatling

Locust

k6

New Relic

Prometheus

Grafana

OpenTelemetry

Job description

This position is listed on behalf of a partner company, which manages all applications and next steps. Our partner is looking for a Sr SDET – Performance Testing based in India.

We are looking for an experienced Senior Software Development Engineer in Test (SDET) specializing in performance testing to strengthen the quality, scalability, and reliability of a large-scale, cloud-based platform. In this role, you will lead performance engineering initiatives, establish testing standards, and ensure critical services remain resilient under demanding workloads. You will design and implement automated performance testing frameworks, define performance benchmarks, and integrate regression testing into CI/CD pipelines. Working across distributed systems, microservices, APIs, databases, and cloud infrastructure, you will identify bottlenecks and drive meaningful improvements. You will collaborate closely with engineering, DevOps, and infrastructure teams to translate performance insights into actionable technical solutions. This is an opportunity to take technical ownership, mentor other engineers, and influence performance engineering practices within a fast-paced, globally distributed environment.

Accountabilities:

• Performance Strategy and Benchmarking:
  • Establish performance baselines for critical services, defining Service Level Indicators (SLIs), Service Level Objectives (SLOs), and measurable targets for latency, throughput, and error rates.
  • Develop realistic workload models based on production traffic patterns and actual customer behavior.
  • Define performance testing strategies that support scalability, reliability, and continuous improvement across the platform.
  • Conduct capacity planning to ensure systems can handle increasing traffic volumes and anticipated peak-demand events.
• Performance Testing Framework Development:
  • Design, build, and maintain a shared performance testing framework that product engineering and SDET teams can use consistently.
  • Create performance-like testing environments using Kubernetes and cloud infrastructure, including appropriate test data and configurations.
  • Evaluate emerging performance testing tools and technologies through proof-of-concept initiatives and recommend suitable solutions.
  • Establish reusable testing standards and best practices to improve consistency and efficiency across engineering teams.
• Automated Testing and Continuous Integration:
  • Integrate automated performance regression testing into CI/CD pipelines to identify performance degradation before production releases.
  • Establish performance thresholds and automated pass/fail criteria to maintain service quality.
  • Develop performance trend reports and monitoring mechanisms to identify emerging issues and track improvements over time.
  • Execute load, stress, soak, and spike testing to evaluate system behavior under different operating conditions.
• Performance Analysis and Optimization:
  • Investigate and identify performance bottlenecks across APIs, databases, message queues, and frontend applications.
  • Conduct root cause analysis using distributed tracing, metrics, logs, and profiling tools.
  • Collaborate with development, DevOps, and infrastructure teams to resolve performance issues and improve system efficiency.
  • Translate complex performance metrics into clear engineering recommendations and influence technical decisions across teams.
  • Evaluate distributed systems behavior, concurrency challenges, rate limiting, caching, and other factors affecting application performance.
• Technical Leadership and Mentorship:
  • Take ownership of performance engineering initiatives and drive continuous improvements in testing methodologies.
  • Mentor junior engineers and support their technical development through knowledge sharing, guidance, and code reviews.
  • Contribute to capability-building initiatives and establish engineering practices that raise performance and reliability standards across the organization.
  • Work collaboratively with cross-functional teams to ensure performance considerations are integrated throughout the software development lifecycle.

Requirements:

• At least 5 years of professional experience in performance testing, scalability engineering, reliability engineering, or a closely related discipline.
• Demonstrated experience identifying, investigating, and resolving performance bottlenecks in production-scale applications and distributed systems.
• Hands‑on expertise with at least one modern performance testing tool, such as k6, Gatling, or Locust.
• Strong programming skills in at least one language, preferably Python, JavaScript/TypeScript, or Java.
• Experience designing realistic workload models and implementing distributed load generation for large-scale applications.
• Practical experience with observability and monitoring platforms such as New Relic, Prometheus, Grafana, or OpenTelemetry.
• Strong understanding of root cause analysis across API, database, and message queue layers using metrics, logs, distributed traces, and profiling techniques.
• Solid knowledge of REST API performance, distributed systems, microservices architecture, concurrency, caching, and common application performance bottlenecks.
• Experience integrating automated performance tests into CI/CD pipelines, including defining measurable performance thresholds and pass/fail criteria.
• Working knowledge of Kubernetes and hands‑on experience with at least one major cloud platform, such as Google Cloud Platform (GCP), AWS, or Microsoft Azure.
• Ability to deploy, configure, troubleshoot, and maintain performance testing environments that closely reflect production infrastructure.
• Strong analytical and problem‑solving skills, with the ability to interpret performance results and turn findings into practical engineering recommendations.
• Excellent collaboration and communication skills, enabling effective partnership with software developers, DevOps engineers, infrastructure teams, and other stakeholders.
• Ability to take technical ownership, work independently, manage priorities, and contribute effectively in a fast‑paced engineering environment.
• Experience mentoring junior engineers and promoting engineering best practices is highly valued.

Nice-to-have qualifications:

• Experience with runtime profiling and thread or heap analysis for JVM or Node.js applications, including garbage collection behavior and event-loop latency.
• Knowledge of frontend performance optimization, including Core Web Vitals, Lighthouse, and Real User Monitoring (RUM).
• Experience using AI‑assisted tools to improve test design, automate performance analysis, or interpret testing results.
• Familiarity with NoSQL databases, search technologies, and message brokers operating at scale.
• Experience with chaos engineering, resilience testing, and safe production testing techniques, including canary releases and shadow traffic.

Benefits:

• Fully remote working arrangement from India.
• Full-time opportunity within a globally distributed engineering organization.
• Opportunity to work on a large-scale, cloud-based platform supporting millions of businesses worldwide.
• Exposure to modern technologies, distributed systems, microservices, Kubernetes, and cloud infrastructure.
• Opportunity to lead performance engineering initiatives and influence technical standards across multiple engineering teams.
• Professional development through hands‑on technical challenges and continuous learning.
• Opportunity to mentor engineers and contribute to the development of engineering capabilities.
• Collaborative, remote-first environment that encourages ownership, innovation, and technical excellence.

How Jobgether works:

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

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