We are tech transformation specialists, uniting human expertise with AI to create scalable tech solutions.
With over 8,000 CI&Ters around the world, we’ve built partnerships with more than 1,000 clients during our 30 years of history. Artificial Intelligence is our reality.
We are looking for a highly skilled Performance Engineer to join our team. In this role, you work in a highly critical ecommerce team that focuses on delivering high performing and scalable applications in a fast-paced agile environment. Our engineers define
workloads that model the performance of our systems, automate the measurement of these workloads, conduct analysis to gain insights into how to make the system run faster and use resources more efficiently. You will actively use performance tools, profilers, and monitors to analyze and optimize component level performance metrics. You will work closely with a group of talented software developers, architects, and database engineers to lead performance testing, analysis, and optimization initiatives across a variety of high usage applications and products.
Responsibilities:
(80%) Validation of Quality Applications
Demonstrate ownership and accountability in work assignments. Be resourceful and collaborate with respective teams to quickly solve performance and scalability challenges.
Design workloads and simulations to model our applications usage and establish performance and scalability benchmarks.
Measure various aspects of the system performance, including throughput, response times, resource usage such as CPU, memory, thread utilization and IO statistics.
Experience with messaging queues and cache technology
Automate the tracking and publishing of Performance results across software builds and releases to ensure high quality releases.
Perform root cause analysis for performance optimization and architecture. Demonstrate a technical aptitude to do a deep dive into problem areas and contribute to fixes that are faster, cleaner and require less maintenance.
Hands-on script development using JMeter or other open-source tools.
Make sure efficient resource usage after deployment in cloud
Monitor hosts/apps in cloud for resource contention
Estimate performance testing deliverables for all applicable projects.
Requirements gathering, creating JMeter scripts and execution.
Monitor build jobs and create defects for any performance related issues.
Create GitHub pipelines for Performance Test Automation
Scripting new functionality and fixing existing failed JMeter and Gatling scripts.
Plan performance tests both in QA and pre-prod (sometimes production).
Discuss with team on new services, gather requirements and develop JMeter/Gatling scripts.
Develop, document, and maintain the test strategy and test scenarios.
Execute tests in cloud load generators as per requirements.
Collaborate with Operations team to monitor applications to ensure applications perform as planned.
Perform detailed analysis on any bottlenecks found during test executions.
Build Stress, Load, Capacity and soak tests at an enterprise-wide level.
(20%) Leadership
Ability to communicate performance metrics of the applications to the leadership.
Develop and maintain Key Performance Indicators (KPI) for the various applications
Develop and maintain service level metrics for systems, including response time, failover, time to failure, and
time to recover.
Ability to coordinate with Leads and development managers.
Timely presentation of KPI and performance metrics to leadership teams.
Requirements:
Experience in performance testing/engineering.
Experience with containers and Kubernetes
Experience with Azure cloud environments
Strong Automation and coding skills using Shell, Groovy, Java, C# or other languages.
Experience testing microservice architecture.
Former developer experience a plus.
Experience with public cloud infrastructure is a plus.
Strong understanding of performance tuning Relational Databases (SQL Server).
Understanding of networking technologies (TCP/IP, DNS, Load Balancers, Firewalls, etc.)
Must have a minimum of 2 years’ experience using any monitoring tools like Dynatrace, AppDynamics, Splunk etc..,
Strong knowledge of Splunk (and/or Splunk) to build effective visualizations, alerts and dashboards around key business transitions, performance, and health metrics to get deeper operational and system insight on the systems.
Expert experience in Gatling and JMeter tool.
Expert experience in scripting and running tests using Gatling.
Experience running tests using cloud testing tools like BlazeMeter, OctoPerf etc.,
Experience integrating performance scripts (JMeter) into Jenkins and JMeter with scripting(groovy)
Strong understanding of techniques such as Continuous Integration, Continuous Delivery, Test Driven, Development, Cloud Development, application resiliency and security.
If you are passionate about technology and want to be part of a global team driving innovation and positive impact, we would love to meet you! 🚀
