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Title: Senior Performance Engineer
Location: Nashik/ Pune
Job Type: Full-Time
Senior Individual Contributor Experience: 5 year and above.

Key Responsibilities:

- Performance Strategy & Planning: Define, own, and execute the end-to-end performance strategy. Identify critical business transactions and non-deterministic user journeys to establish baseline, benchmark, and SLA-driven performance goals.
- Test Design & Execution (Cloud & On-Premises): Design and execute sophisticated load, stress, endurance/soak, spike, and scalability test suites. Build reusable, maintainable scripts for web applications, APIs, and asynchronous systems using JMeter, k6, or LoadRunner.
- CI/CD & Shift-Left Engineering: Integrate automated performance tests into CI/CD pipelines to support continuous validation in lower and production-like environments, actively acting as the performance quality gate owner before major releases.
- Deep-Dive Monitoring & Analysis: Correlate test results with application, database, and infrastructure metrics. Proactively identify root causes of latency, throughput degradation, memory leaks, and CPU/thread contention across microservices, load balancers, and caches.
- AI Lifecycle Optimization: Actively utilize AI-driven tooling and assistants to accelerate performance test script generation, analyze massive test log datasets, and automate synthetic data modeling.
- Collaboration & Leadership: Partner closely with Architects on capacity planning, Developers on code-level/query tuning, and DevOps on workplace sizing.



Actively mentor junior performance engineers and foster an AI-augmented testing culture.

Required Core Experience & Skills:

- 5+ years of hands-on experience in performance testing and engineering for software products in Agile / DevOps ecosystems.
- Tooling Mastery: Deep expertise in protocol-level testing (HTTP/HTTPS, REST APIs) using JMeter, k6
- Full-Stack Architecture: Strong understanding of client-server systems, microservices architecture, and database concepts (indexes, query execution paths, locks).
- Observability: Hands-on experience with monitoring frameworks like Grafana / Prometheus to correlate metrics across distinct architectural tiers.

Required AI Fluency & Mindset:

- Applied AI Workflow: Experience incorporating AI tools into your daily technical workflowwhether for writing, scripting, research, or system analysis. You have formed your own view on when AI adds value and when it doesn't, and you ruthlessly evaluate and override AI output before accepting it.
- Judgment over Capacity: Active interest in shifting your focus away from low-level script writing toward higher-order human judgment, architectural optimization, and automated system orchestration.
- Epistemic Humility: Comfort with ambiguity and continuous learning as tools evolve. You treat incorrect AI outputs as an iterative feedback loop rather than a roadblock. Nice to Have
- Cloud performance testing experience (On-Premises / Azure environments).
- Containerization performance understanding (Kubernetes clustering, resource saturation limits).
- Experience analyzing real-world production performance behaviors and synthetic data generation.

📌 Performance Engineer (Nashik)
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