- Design and develop automated suites/tools, Identify performance bottlenecks in design and implementation and be involved in deployment, troubleshooting/analysis, and preparing performance engineering reports.

- Work within the Agile framework executing performance tasks along with the sprint team.

- Interact and co-ordinate between different stakeholders in Engineering/Architect/PO/Doc functions.

- Prioritize the tasks and communicate to all stakeholders.

- Adopt, enable, and ensure timely decision-making across the stakeholders.

Desired Skills & Experience :

- Professional degree (Bachelor's / Master's) in engineering with a consistent academic record.

- Professional hands-on experience of 5 to 8 years in Performance Engineering activities and developing performance tools.

Must have skills :

- Good knowledge of JAVA, JMeter, Python.

- Good knowledge of Database and DB queries in Postgress & MongoDB.

- Good knowledge of performance monitoring tools like Newrelic, Datadog, Grafana.

- Good knowledge of performance profiling tools like Yourkit, JProfiler, JVisual VM.

- Exposure to Virtualization, K8, AWS, Azure and Unix flavors.

- Exposure to microservices benchmarking and horizontal scalability.

- Confident in complex determinate analysis, managing trade-offs between technical benefits, risk and efficiency.

- Very strong communicator, critical thinking, and natural in articulating complex technical topics and ideas to technical and non-technical stakeholders.

- Demonstrated success in providing clarity and delivering the sprint goals during ambiguities.

Nice to have skills :

- Exposure to working in auto-scaling, and redundant technologies is a huge plus.

- Familiar with Message Queues like Kafka, large Storage Systems like S3, and NoSQL DBs is a plus.