Job Description
Work along with the scrum teams, design and develop test cases and test scripts. Responsible for test executions and updates to the stakeholders.
Adapt AI in all phases of STLC, adapt new tech stack for R&D
What You’ll Do
- Own and drive performance engineering strategy for APIs, web applications, and distributed systems.
- Design and execute load, stress, endurance, spike, and scalability tests for enterprise applications.
- Build and maintain reusable JMeter frameworks, test data strategies, and workload models.
- Analyze application, infrastructure, and database behavior under load to identify bottlenecks, capacity limits, and performance risks.
- Collaborate with engineering teams to define and validate NFRs, SLAs, SLOs, and capacity targets.
- Work with observability and APM tools to diagnose performance issues across application and infrastructure layers.
- Integrate performance testing into CI/CD pipelines and shift performance validation earlier in the SDLC.
- Support root cause analysis for performance issues using logs, metrics, traces, thread dumps, heap analysis, and system monitoring.
- Provide engineering recommendations on scalability, caching, pooling, asynchronous processing, and resource optimization.
- Partner with architects and DevOps teams to improve performance readiness for cloud-native and containerized environments.
- Contribute to performance standards, governance, and best practices within the Quality / Engineering COE.
- Support performance validation for AI/ML-enabled systems, including latency-sensitive and resource-intensive workloads.
Technical Skills:
- 2–5 years of automation experience using industry-standard tools, Selenium preferred.
- Proficiency in Object-Oriented Programming (OOP) using Java.
- Hands-on experience in microservices validation and backend testing.
- Expertise in database querying, preferred experience with Cassandra and Elastic Search.
- Experience with data frameworks and queue validation, preferred tools include Apache Kafka, Postman.
- Exposure to CI/CD pipelines and parallel testing for scaling and faster executions using Jenkins and Kubernetes (K8s).
- Familiarity with AI tools to enhance QA productivity and automation efficiency.
- Proven ability to collaborate with Product, Engineering, DevOps and QA teams for release planning and execution.
- Experience in designing, developing, documenting, and maintaining test cases, tools, and automation frameworks.
- Ability to interpret functional requirements and design documents to create comprehensive test plans.
- Strong skills in defect triage and root cause analysis.
- Working knowledge of TestRail (test management) and JIRA (project tracking).
- Excellent communication skills and stakeholder engagement.
- Practical experience in Agile methodologies and sprint-based delivery.
- Soft Skills:
- Passion for quality and continuous improvement.
- Ability to work independently and in a team-oriented environment.
- Strong analytical and problem-solving skills.
- Adaptability to fast-paced and evolving environments.
- Knowledge of capacity planning, resilience testing, and failover validation
- Experience working in Agile / DevOps / SRE-driven environments
