Live opening · Posted 1 day ago

Performance Lead

Xccelera AI · Noida, Uttar Pradesh, India (On-site)
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The key details from the original listing.

Posted 1 day ago
CompanyXccelera AI
LocationNoida, Uttar Pradesh, India (On-site)
Work modeNo
SkillsPython, JavaScript, React, Node.js, Java, Azure, Docker
SourceLinkedin
ListedPosted 1 day ago

About the role

Description supplied by the original job listing.

Job Description – Performance Lead
Company: Xccelera Ai
Location: Noida, India
Experience: 6+ years (minimum 2+ years leading development teams)
Employment Type: Full-Time
About Xccelera
Xccelera is an AI-first transformation company that designs, deploys, and orchestrates autonomous AI workflows — enabling enterprises and SMBs to scale operations, accelerate decision-making, and achieve measurable business outcomes. We're powering the future of work by building production-ready AI Agents and enterprise-grade platforms that help teams ship faster and smarter.
Role Overview
We are looking for a Performance Engineer who goes beyond traditional performance testing and plays a critical role in designing, engineering, monitoring, and optimizing system performance across the application lifecycle. The role requires deep collaboration with Architecture, Development, DevOps, and SRE teams to build scalable, resilient, and high-performing systems.
1. Performance Engineering Strategy & Planning
Define and drive end-to-end performance engineering strategy for complex, distributed, and cloud-native systems.
Proactively identify performance risks at architecture and design stages.
Define and monitor performance SLAs, SLOs, and KPIs such as:
Throughput
Latency
Response time
Concurrency
Resource utilization
Participate in design reviews to recommend scalable and high-availability architectures.
2. Performance Testing & Validation
Design, develop, and execute advanced performance tests including:
Load testing
Stress testing
Spike testing
Endurance / Soak testing
Scalability testing
Failover and resiliency testing
Chaos engineering (good to have)
Develop and maintain custom performance test frameworks and reusable components.
Shift-left performance testing by embedding it early in the SDLC.
3. Tools & Technologies
Load & Performance Testing Tools: JMeter, Gatling (preferred)
Monitoring & APM: Grafana (Prometheus, New Relic, Dynatrace – plus)
Cloud & Infrastructure: Azure, Docker (Kubernetes – plus)
Scripting & Programming:
Python, Shell
Java / JavaScript for custom load generation and analysis utilities
4. Diagnostics, Tuning & Optimization
Perform deep-dive analysis to identify bottlenecks across:
Application layer (Java / ReactJS / Node.js)
Database layer (SQL tuning, indexing, query optimization)
Caching layers (Redis, Memcached)
Network latency and throughput
Memory, CPU, JVM tuning and Garbage Collection optimization
Work closely with Developers and SRE teams to:
Recommend performance improvements
Validate fixes
Measure performance gains post-optimization
5. Performance Engineering in CI/CD & Production
Integrate performance tests into CI/CD pipelines.
Implement automated performance regression detection.
Build and maintain real-time dashboards, alerts, and reports for performance metrics.
Support production performance monitoring and incident analysis.
6. Capacity Planning & Scalability
Conduct capacity planning and forecasting based on business growth.
Support auto-scaling strategies and infrastructure right-sizing.
Validate system behavior under peak and extreme load conditions.
7. Cross-Functional Collaboration & Governance
Collaborate with:
Architects for scalable system design
DevOps / SRE for infrastructure optimization
Product teams for realistic workload modeling
Provide performance readiness and sign-off for major releases.
Mentor team members on performance best practices.
Key Skills & Competencies
Strong understanding of performance engineering principles
Experience with distributed systems and cloud-native architectures
Hands-on expertise in performance diagnostics and tuning
Strong analytical and problem-solving skills
Ability to communicate complex performance findings to technical and non-technical stakeholders
Nice to Have
Experience with Kubernetes, Chaos Engineering, Observability tools
Exposure to microservices performance challenges
Experience in high-scale or mission-critical systems
If you or any of your friends are interested in this job opening, please share your CV with us on hr@xccelera.ai along with important details like CCTC, ECTC & NP.

Work arrangement
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