What are the responsibilities and job description for the Performance Engineer- Only W2 position at Saransh Inc?
Job Title: Performance Engineer
Location: Onsite in Vienna, VA
Duration: 6 mos.
W2 Position
Name
Required
Experience
Performance Testing
Yes
6 Years
AppDynamics Analytics
Yes
6 Years
dynatrace
Yes
6 Years
Kubernetes
Yes
6 Years
NeoLoad
Yes
6 Years
Jmeter
Yes
6 Years
Job Description
Seeking a Performance Engineer with strong expertise in performance testing, monitoring, and application scalability for cloud-native and distributed systems. The ideal candidate will have hands-on experience designing and executing load, stress, and endurance tests using NeoLoad, JMeter, and LoadRunner, while leveraging Dynatrace, AppDynamics, and Splunk to identify performance bottlenecks and conduct root cause analysis. This role requires experience with cloud deployments, microservices, Docker/Kubernetes environments, high availability, resilience testing, and observability practices. The successful candidate will collaborate with technical teams to optimize application performance, scalability, and reliability while driving performance engineering best practices across the organization.
Responsibilities
Professional experience as Performance Engineer with good hands-on experience in implementing performance & high availability strategies to optimize the efficiency of applications.
Strong hands-on skills with test script development using Neoload, JMeter & LoadRunner. Experience in executing performance tests (load/stress/endurance) using Neoload/JMeter/LoadRunner and performance monitoring using APM tools to identify performance issues
Hands-on experience in APM tools like Dynatrace & AppDynamics to conduct root cause analysis for performance and scalability bottlenecks
Able to analyze Splunk logs, Dynatrace distributed traces, Appdynamics Snapshots, method hotspots and response-time hotspots to identify slow components and provide recommendations
Experience in performance testing for Cloud deployments, Docker/Kubernetes containerized applications and microservices
Strong knowledge on Java/Python, SQL query creation and manipulation skills
Experience in Auto-Scaling, Chaos and failover testing to measure and test for Pod/Node failures, Network exhaustion, CPU/memory saturation, Container startup failures and Dependency failures etc.
Strong ability to track and contribute to technical discussions around application integration and high-availability, resilience and observability
Individual Contributor with good communication skills
What are the top 3 skills required for this role?
Location: Onsite in Vienna, VA
Duration: 6 mos.
W2 Position
Name
Required
Experience
Performance Testing
Yes
6 Years
AppDynamics Analytics
Yes
6 Years
dynatrace
Yes
6 Years
Kubernetes
Yes
6 Years
NeoLoad
Yes
6 Years
Jmeter
Yes
6 Years
Job Description
Seeking a Performance Engineer with strong expertise in performance testing, monitoring, and application scalability for cloud-native and distributed systems. The ideal candidate will have hands-on experience designing and executing load, stress, and endurance tests using NeoLoad, JMeter, and LoadRunner, while leveraging Dynatrace, AppDynamics, and Splunk to identify performance bottlenecks and conduct root cause analysis. This role requires experience with cloud deployments, microservices, Docker/Kubernetes environments, high availability, resilience testing, and observability practices. The successful candidate will collaborate with technical teams to optimize application performance, scalability, and reliability while driving performance engineering best practices across the organization.
Responsibilities
Professional experience as Performance Engineer with good hands-on experience in implementing performance & high availability strategies to optimize the efficiency of applications.
Strong hands-on skills with test script development using Neoload, JMeter & LoadRunner. Experience in executing performance tests (load/stress/endurance) using Neoload/JMeter/LoadRunner and performance monitoring using APM tools to identify performance issues
Hands-on experience in APM tools like Dynatrace & AppDynamics to conduct root cause analysis for performance and scalability bottlenecks
Able to analyze Splunk logs, Dynatrace distributed traces, Appdynamics Snapshots, method hotspots and response-time hotspots to identify slow components and provide recommendations
Experience in performance testing for Cloud deployments, Docker/Kubernetes containerized applications and microservices
Strong knowledge on Java/Python, SQL query creation and manipulation skills
Experience in Auto-Scaling, Chaos and failover testing to measure and test for Pod/Node failures, Network exhaustion, CPU/memory saturation, Container startup failures and Dependency failures etc.
Strong ability to track and contribute to technical discussions around application integration and high-availability, resilience and observability
Individual Contributor with good communication skills
What are the top 3 skills required for this role?
- Neoload, JMeter
- Performance Testing
- Performance Monitoring using AppDynamics, Dynatrace