Leads end-to-end performance testing across SaaS applications, APIs, microservices, ETL pipelines, databases, Kubernetes, and cloud-native platforms. Designs load, stress, endurance, and scalability tests; analyzes application, database, and infrastructure bottlenecks; monitors systems with observability tools; validates Kubernetes performance; integrates tests into CI/CD pipelines; produces stakeholder-facing reports; supports performance tuning; and mentors junior engineers.
We are looking for a Senior Performance Test Engineer with 7+ years of experience in SaaS applications, APIs, ETL pipelines, and cloud-native platforms with special focus on performance testing.
The candidate will be responsible for performance testing, bottleneck analysis, scalability validation, and system optimization across distributed environments.
Spearhead End-to-End (E2E) performance testing and generate comprehensive metrics to evaluate system health.
Design and deliver clear performance reports tailored for business stakeholders and clients.
Mentor and guide junior team members to elevate overall team capabilities.
Collaborate with cross-functional teams to identify and resolve critical performance bottlenecks.
Design and deliver clear performance reports tailored for business stakeholders and clients.
Mentor and guide junior team members to elevate overall team capabilities.
Collaborate with cross-functional teams to identify and resolve critical performance bottlenecks.
Requirements
Key Responsibilities
- Design and execute load, stress, endurance, and scalability tests.
- Perform performance testing for:
- SaaS applications
- REST APIs
- Microservices
- ETL/Data pipelines
- Test Data Preparation as per API documentation and ETL transformation
- Synthetic data generation for database test
- SaaS applications
- Analyses application, database, and infrastructure bottlenecks.
- Monitor system performance using APM and observability tools.
- Validate Kubernetes pod and cluster performance under varying workloads and suggest gaps and improvements.
- Work closely with DevOps, QA, and Engineering teams for performance tuning.
- Integrate performance tests into CI/CD pipelines.
Required Skills
- Strong understanding of executing performance tests on:
- APIs
- Microservices
- ETL workflows
- SQL & NoSQL database performance
- Graph database (Neo4j, Neptune) performance
- APIs
- Experience with Kubernetes, Docker, and cloud environments.
- Experience with Jenkins, Git, and CI/CD pipelines.
- Programming Languages: Proficiency in Java, Python, or Go for custom test scripting and log processing.
- Testing Frameworks: Deep hands-on expertise with Apache JMeter, Gatling, Locust, or LoadRunner.
- APM & Observability: Mastery of monitoring tools like Dynatrace, AppDynamics, Datadog, New Relic, Splunk, Grafana, and Prometheus.
- Architecture & Cloud: Strong understanding of distributed systems, Microservices, and cloud-native ecosystems (AWS, Azure).
- Database Tuning: Experience analyzing query plans, locking mechanisms, and optimizing SQL/NoSQL databases
Preferred Skills
- Cloud platforms:
- Amazon Web Services
- Microsoft Azure
- Google Cloud
- Amazon Web Services
- Kafka/Event-driven architecture exposure.
- Experience in Agile/Scrum environments.
Similar Jobs
Financial Services
Performs risk assessments, control testing, regulatory reporting quality reviews, remediation tracking, root-cause analysis, and process improvements for payments operations. Monitors reporting accuracy, completeness, timeliness, and control adherence while synthesizing leadership insights. Leads change initiatives and uses AI and machine learning for anomaly detection, data validation, and workflow analysis. Partners with global teams to strengthen regulatory compliance and reporting standards.
Top Skills:
AlteryxArtificial IntelligenceLarge Language ModelsMachine LearningSQLTableau
Financial Services
Develop and deploy intelligent automation solutions using Power Platform, UiPath, Python, Alteryx, and Signavio. Partner with stakeholders to analyze manual processes, design future-state workflows, and manage automation projects from development through testing and deployment. Ensure solutions comply with company policies, governance, risk, and control standards while collaborating with business, technology, and control teams. The role also requires stakeholder influence, issue resolution, solution design, and clear communication across functions.
Top Skills:
AlteryxMicrosoft AccessExcelMS OfficeMicrosoft PowerpointPower AppsPower AutomatePythonSignavioUipath
Financial Services
Leads software engineering for a technical area within data and wealth management. Owns end-to-end technical solutions, engineering governance, AI-enabled development and SDLC automation, cloud-native delivery, security, resiliency, and reusable platforms. Manages resources, budgets, cross-functional teams, hiring, talent development, and stakeholder relationships. Drives responsible AI adoption, productivity improvements, process modernization, and delivery across business, product, and technology organizations.
Top Skills:
Agentic AiAi-Assisted DevelopmentAutomation ToolingCloud-Native TechnologiesSoftware Development Life Cycle (Sdlc)Test Automation
What you need to know about the Pune Tech Scene
Once a far-out concept, AI is now a tangible force reshaping industries and economies worldwide. While its adoption will automate some roles, AI has created more jobs than it has displaced, with an expected 97 million new roles to be created in the coming years. This is especially true in cities like Pune, which is emerging as a hub for companies eager to leverage this technology to develop solutions that simplify and improve lives in sectors such as education, healthcare, finance, e-commerce and more.
