Performance Testing Engineer -AI (Bengaluru)

Performance Testing Engineer -AI (Bengaluru)

09 Nov
|
Xoriant
|
Bengaluru

09 Nov

Xoriant

Bengaluru

Work Experience

We are hiring a Senior Performance Engineer who can help deliver fast, reliable, and scalable AI-powered support across enterprise applications. In this role, he will define and drive the performance engineering strategy for AI-driven features, ensuring they meet the highest standards of speed reliability and scalability in production environments.

- Role: Senior Performance Testing Engineer -AI
- Location: Bangalore
- Experience: 5- 10 years
- Job type: Full time
- Work type: Hybrid

Impact you will realize: Job Responsibilities

- This role can significantly elevate a candidate's profile by positioning them as a technical leader at the intersection of performance engineering and AI, a rare and highly sought-after combination.
- It offers deep exposure to cutting-edge AI systems, including chatbots and model endpoints, which adds a future-proof dimension to their experience. Leading performance strategy across Go microservices and Kubernetes strengthens their credentials in modern distributed architecture.
- Working with tools like Locust, Grafana, Datadog, and Splunk sharpens their observability and automation expertise, making them more marketable. Cross-functional collaboration with Engineering, QE, DevOps, and AI/ML teams builds leadership and influence skills that employers value.
- Integrating performance testing into CI/CD demonstrates DevOps maturity and end-to-end ownership. Documenting findings and driving measurable improvements showcases impact and communication ability, key for senior roles.
- Experience with cloud platforms and AI/ML systems opens doors to high-paying roles in AI-first companies.
- The technical leadership title signals career progression toward principal or architect-level positions.
- Overall, it transforms the candidate into a versatile, high-impact performance leader with a distinctive AI specialization.

Key skills you will require:

Primary Skills

- Performance Strategy & Execution: Design and execute comprehensive load, stress, soak, and UI performance testing strategies for AI features, including intelligent chatbots and automated issue resolution.
- Real-World Traffic Simulation: Simulate realistic, production-like traffic against AI model endpoints using Locust and other load-testing tools.
- Test Automation:



Build and maintain robust Python-based test automation frameworks to support performance testing at scale.
- Performance Analysis: Analyze model and service latency, throughput, and error rates using observability platforms such as Grafana, Datadog, and Splunk to uncover performance trends and anomalies.
- Bottleneck Identification: Identify performance bottlenecks across Go-based microservices and Kubernetes infrastructure, and recommend targeted optimizations.
- Cross-Functional Collaboration: Partner closely with Engineering, QE, DevOps, and AI/ML teams to drive measurable performance improvements and embed performance best practices.
- Documentation: Create and maintain transparent test plans, findings, and technical recommendations for both technical and non-technical stakeholders.
- CI/CD Integration: Help integrate performance testing into CI/CD workflows to enable continuous performance validation.

Minimum Qualifications

- 5-10 years years of experience performance-testing complex distributed systems.
- Advanced proficiency in Python for test automation and tooling.
- Hands-on experience with Locust or similar load-testing tools (e.g., JMeter, Gatling, k6).
- Experience with monitoring and observability platforms (Grafana, Datadog, Splunk, or similar).
- Strong working knowledge of Kubernetes and containerized architectures.
- Deep understanding of performance metrics, system tuning, and sustained-load (soak) testing.
- Ability to translate test data into clear, actionable technical recommendations.
- Familiarity with UI performance testing and CI/CD pipelines.

Preferred Qualifications

- Experience testing AI/ML systems and model endpoints.
- Experience with cloud platforms such as AWS, Azure, or GCP.
- Experience with Go- or Python-based distributed services.

Qualification you must require

· Bachelor’s degree in computer science, Engineering, or a related field, or equivalent work experience.

Want to experience life at Xoriant?

In our inclusive workspace, we turn imagination into reality — everyday!

- Business for Purpose:



Be part of a passionate team and create a better future through tech & innovation.
- Giving Back to Community: Build a stronger business and community by volunteering and make a positive impact in the community.
- Rise to Sustain: Support your career growth in a way that helps ensure long-term success.
- Continuous Learning: Stay curious and keep learning with us to drive innovation.
- Wellness First: Prioritize well-being with multiple health benefits & experience work-life balance.
- Rewards & Recognition: Value your work with meaningful rewards and recognitions.
- One Xoriant Family: Celebrate the joy of diversity, inclusivity and togetherness through festivals.
- Candid Connects: Connect directly with leaders and voice your opinion.
- Culture of Ideation: Be a trailblazer, bring new ideas to the fore and realize them through engineering.

If there’s an XFactor in you, we have a chair dedicated to your name.

To know more about Xoriant, please visit : www.xoriant.com

Important Notice:

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Equal Employment Opportunity Statement:

We are committed to providing equal employment opportunities to all individuals, regardless of race, color, religion, gender, national origin, age, disability, or veteran status. Our inclusive workplace values diversity and ensures that all employees are treated fairly and with respect, promoting a culture of belonging. We strive to create a supportive environment where everyone has the opportunity to succeed and contribute to our collective success.

📌 Performance Testing Engineer -AI (Bengaluru)
🏢 Xoriant
📍 Bengaluru

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