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Performance Engineering LeadLocation: Pune / Hybrid (3 days in office)
Experience: 7+ Years
Employment Type: Full-Time
About the Role
We are looking for an experienced and highly motivated Performance Engineering Lead to drive performance validation, scalability assessment, and performance optimization across a modern cloud-native platform. The ideal candidate will have strong expertise in distributed microservices architectures, Kubernetes environments, messaging systems, APIs, big data workloads, and performance troubleshooting.
The role requires both hands-on technical excellence and leadership capabilities to plan, execute, analyze, and drive performance initiatives across release cycles while collaborating closely with development, architecture, operations, and customer-facing teams.
Key ResponsibilitiesPerformance Strategy & Leadership
- Own performance engineering activities across multiple releases and product roadmaps.
- Define performance testing scope, objectives, workload models, success criteria, and capacity planning requirements.
- Plan, track, and deliver performance testing activities within release timelines.
- Provide regular performance status updates, risk assessments, and recommendations to stakeholders.
- Mentor and guide performance engineers and establish performance engineering best practices.
- Design and execute performance, load, stress, endurance, scalability, spike, and capacity tests.
- Validate performance of cloud-native applications running on Kubernetes (K8s).
- Build realistic workload models that simulate production-scale traffic and customer usage patterns.
- Establish performance baselines and continuously improve system scalability and reliability.
Microservices Performance Analysis
Perform detailed root cause analysis and optimization recommendations for applications leveraging:
- Kubernetes-based microservices
- Kafka-based event-driven architectures
- REST and GraphQL APIs
- Redis caching layers
- Oracle databases
- Elasticsearch clusters
- Spark-based batch and streaming workloads
Analyze system behavior across:
- CPU utilization
- Memory consumption
- Thread utilization
- Garbage collection
- Network latency
- Resource contention
- Database bottlenecks
- Cache efficiency
- Message processing delays
Kafka & Messaging Performance
- Design and execute load testing for Kafka-based service-to-service messaging systems.
- Analyze consumer lag, throughput, partition distribution, batching efficiency, and message processing latency.
- Tune Kafka producer, broker, and consumer configurations to optimize performance.
- Identify bottlenecks and provide recommendations to engineering teams for scalability improvements.
- Validate latency, throughput, concurrency, error rates, and service-level objectives (SLOs).
- Perform end-to-end performance analysis across distributed API ecosystems.
- Identify bottlenecks in service interactions and recommend optimizations.
- Analyze Spark batch and streaming job performance.
- Investigate executor utilization, partitioning strategies, shuffle operations, memory management, and query execution plans.
- Recommend performance improvements to reduce execution time and infrastructure costs
Performance Diagnostics & Optimization
- Conduct deep-dive investigations into production and pre-production performance issues.
- Collaborate with developers to identify root causes and implement fixes.
- Review architecture and code changes from a scalability and performance perspective.
- Recommend improvements in application design, infrastructure configuration, caching, database queries, and messaging patterns.
Customer issues:
- Investigate customer-reported performance and scalability issues.
- Reproduce production scenarios and provide actionable recommendations.
- Work with support and engineering teams to ensure timely resolution of customer-impacting performance problems.
Test Data & Automation
- Design and develop scalable test data generation frameworks.
- Create automation utilities and performance engineering tools.
- Develop scripts and utilities using Python, Java, or similar programming languages to support performance testing and analysis.
Required Skills & QualificationsExperience
- 7+ years of experience in Performance Testing and Performance Engineering.
- Proven experience leading performance initiatives for enterprise-scale applications.
- Strong understanding of distributed systems and cloud-native architectures.
- Kubernetes (K8s) and containerized environments
- Microservices architecture
- Apache Kafka
- API performance testing and diagnostics
- Redis
- Oracle Database
- Elasticsearch
- Apache Spark
- Linux system performance analysis
Experience with one or more:
- JMeter
- Gatling
- LoadRunner
- k6
- Locust
- BlazeMeter
Monitoring & Observability
Hands-on experience with:
- Grafana
- Prometheus
- Kibana
- Elastic Stack
- Dynatrace
- AppDynamics
- OpenTelemetry
Programming & Automation
Strong scripting/programming experience in:
- Python
- Java
Skills Required
- 7+ years of experience in performance testing and performance engineering
- Experience leading performance initiatives for enterprise-scale applications
- Strong understanding of distributed systems and cloud-native architectures
- Experience with Kubernetes and containerized environments
- Experience with microservices architecture
- Experience with Apache Kafka
- Experience with API performance testing and diagnostics
- Experience with Redis
- Experience with Oracle Database
- Experience with Elasticsearch
- Experience with Apache Spark
- Experience with Linux system performance analysis
- Experience with one or more performance testing tools: JMeter, Gatling, LoadRunner, k6, Locust, or BlazeMeter
- Hands-on experience with monitoring and observability tools including Grafana, Prometheus, Kibana, Elastic Stack, Dynatrace, AppDynamics, or OpenTelemetry
- Strong scripting or programming experience in Python and Java
Qualys Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Qualys and has not been reviewed or approved by Qualys.
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Affordable Benefits — Benefits costs are widely viewed as low for employees and dependents, with healthcare often described as almost fully paid for. Feedback suggests this affordability helps offset perceptions of lower base pay in some roles.
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Healthcare Strength — Healthcare offerings are broad, including multiple medical plan options, dental and vision coverage, mental health support, and disability insurance. Benefits are described as “pretty amazing” or “great,” reinforcing perceived quality and coverage depth.
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Equity Value & Accessibility — Equity participation is accessible through company stock plans and an employee stock purchase plan. Compensation packages commonly include equity alongside salary and bonus, which some consider a meaningful part of total rewards.
Qualys Insights
What We Do
Qualys, Inc. (NASDAQ: QLYS) is a pioneer and leading provider of disruptive cloud-based security, compliance and IT solutions with more than 10,000 subscription customers worldwide, including a majority of the Forbes Global 100 and Fortune 100. Qualys helps organizations streamline and automate their security and compliance solutions onto a single platform for greater agility, better business outcomes, and substantial cost savings. The Qualys Cloud Platform leverages a single agent to continuously deliver critical security intelligence while enabling enterprises to automate the full spectrum of vulnerability detection, compliance, and protection for IT systems, workloads and web applications across on premises, endpoints, servers, public and private clouds, containers, and mobile devices. Founded in 1999 as one of the first SaaS security companies, Qualys has strategic partnerships and seamlessly integrates its vulnerability management capabilities into security offerings from cloud service providers, including Amazon Web Services, the Google Cloud Platform and Microsoft Azure, along with a number of leading managed service providers and global consulting organizations. For more information, please visit http://www.qualys.com
