About Gurucul

Security teams today are trying to keep watch over a world that keeps expanding, with machines and AI agents multiplying faster than anyone can hire analysts to watch them, and the attacks aimed at that world move faster every year than most tools were ever built to catch. Gurucul’s mission comes out of that gap: give defenders a system that sees a threat the moment it starts forming, whether it comes from a person, a machine, or an AI agent, so a risk climbing quietly over days turns into something an organization can act on long before anything is lost.

Building that takes fusing behavioral models with deterministic detections and a real-time graph that connects signals analysts would otherwise have to piece together by hand, and it means working alongside people who have spent a decade refining behavioral analytics nobody else in the industry has matched, solving problems that show up in production at Fortune 500 companies, Global 5000 enterprises, and governments who are counting on getting ahead of what’s coming for them.

That work has already earned Gurucul recognition as a Leader in the 2025 Gartner Magic Quadrant for SIEM and as Overall Leader in KuppingerCole’s Intelligent SIEM Leadership Compass, the kind of validation that comes from actually cutting data costs, false positives, and response times at scale rather than just claiming to.

If spending your career on something that actually changes how fast defenders can see and respond to what’s coming sounds like the kind of work you want, this is the team doing it, and we’re hiring.

Role Summary

Gurucul is looking for a Senior Performance Engineer to own the end-to-end performance engineering practice for our SaaS-based security analytics platform. In this senior individual contributor role, the Senior Performance Engineer will architect and drive performance testing strategy, mentor junior engineers, and serve as the primary subject matter expert for system scalability, reliability, and efficiency across APIs, microservices, data platforms, and backend databases.

The Senior Performance Engineer will partner closely with Engineering, DevOps, and Product teams to embed continuous performance testing into the software delivery lifecycle and ensure our platform can scale for high volume, multi-tenant SaaS workloads.

Key Responsibilities

Performance Testing Strategy & Leadership

- Own and evolve the enterprise-wide performance testing strategy, standards, and best practices.
- Design and execute comprehensive end-to-end performance testing for SaaS applications, including load, stress, spike, soak, and chaos testing.
- Define performance SLAs, KPIs,



and acceptance criteria in collaboration with Product and Engineering leadership.
- Mentor and guide junior performance engineers; conduct design reviews and code reviews for test frameworks.
- Produce executive-level performance reports with root cause analysis and actionable remediation recommendations.

API & Microservices Performance

- Lead performance testing for RESTful APIs across public and internal microservices.
- Analyze and tune key metrics including latency percentiles (P50/P90/P99), throughput, concurrency, and error rates.
- Validate system behavior under peak and sustained high-concurrency traffic scenarios.
- Identify and resolve performance anti-patterns in service-to-service communication, connection pooling, and caching layers.

Database & Data Platform Performance

- Lead performance analysis and optimization for production database systems including MySQL, AWS RDS (Aurora / MySQL / PostgreSQL), Snowflake, and Click House.
- Conduct advanced SQL query profiling, execution plan analysis, and indexing strategy reviews for OLTP and analytical workloads.
- Benchmark and optimize database performance under high concurrent workloads and large scale data volumes.
- Evaluate data access patterns, partitioning strategies, and caching opportunities for performance gains.
- Collaborate with data engineers to optimize ETL pipelines and data platform throughput.

System Performance Analysis & Optimization

- Identify and resolve system-wide bottlenecks across APIs, databases, microservices, messaging queues, and data pipelines.
- Conduct capacity planning and scalability assessments to support product growth and SLA commitments.
- Analyze application logs, distributed traces, and system telemetry to determine root causes of degradation.
- Provide architectural recommendations to engineering teams for long-term performance improvements.
- Drive continuous performance improvements through iterative testing and measurement cycles.

Monitoring, Observability & Incident Response

- Design and maintain performance dashboards using Prometheus, Grafana, and APM tools (Datadog / AppDynamics / New Relic).
- Monitor application, database, and infrastructure metrics during test execution and production incidents.




- Define alerting thresholds and SLO dashboards for proactive performance monitoring.
- Participate in production performance incidents as the SME, leading root cause analysis and post-mortems.

Automation & CI/CD Integration

- Architect and build robust, scalable performance testing frameworks from the ground up.
- Integrate performance gates into CI/CD pipelines to enforce quality thresholds on every release.
- Automate test execution, result collection, trend analysis, and regression detection.
- Champion performance-as-code practices across engineering teams.

Required Qualifications

- Bachelor’s or Master’s degree in Computer Science, Information Technology, Engineering, or a related field. Equivalent practical experience with a strong demonstrable track record will be considered.
- Performance Testing: Apache JMeter (expert-level); Gatling / k6 / Locust; load testing frameworks; API load testing at scale
- Programming & Scripting: Python (proficient), Java, Bash, SQL; ability to build and maintain test frameworks
- Databases & Data Platforms: MySQL (advanced tuning), AWS RDS (Aurora/MySQL/PostgreSQL), Snowflake, Click House; slow query analysis, execution plans, indexing, partitioning
- API & Microservices: RESTful API performance testing; microservices architecture; distributed systems; service mesh
- Observability & APM: Prometheus, Grafana; Datadog / AppDynamics / New Relic; distributed tracing (Jaeger / Zipkin)
- Cloud & Infrastructure: AWS (EC2, RDS, CloudWatch, EKS); Docker; Kubernetes basics
- CI/CD: Jenkins / GitLab CI / GitHub Actions; integrating performance gates into pipelines

Preferred Qualifications (Nice-to-Have)

- Experience with Kafka, Apache Spark, or large-scale event-driven data processing systems.
- Knowledge of multi-tenant SaaS architecture and tenant isolation patterns.
- Familiarity with chaos engineering tools (Chaos Monkey, Gremlin, Litmus Chaos).
- Experience with query performance optimization for analytical workloads at petabyte scale.
- Understanding of cloud cost optimization in the context of performance (right-sizing, auto scaling).
- Prior experience in cybersecurity, SIEM, UEBA, or security analytics platforms.
- Contributions to open-source performance testing tooling.

Core Competencies

- Strong analytical thinking
- Excellent communication
- Ability to influence without authority
- Stakeholder management

Location

Pune, India

Equal Chance Employer

Gurucul Solutions, LLC is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

To apply:

Please send resumes to [email protected] for consideration.

📌 Senior Performance Engineer (Pune)
🏢 Gurucul
📍 Pune