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Performance Engineer
Swanktek IncVienna, VA🇺🇸United StatesPosted 31 Jul 2026
Why This Role Stands Out
This on-site Performance Engineer role at Swanktek Inc. offers a fantastic opportunity to deepen your expertise in cloud-native systems and contribute to critical application performance optimization. You'll thrive here if you have a strong background in load testing tools and APM solutions, and are eager to collaborate with talented teams to drive engineering best practices. Apply now to advance your career in this impactful position!
Quick Overview
Work Type
On Site
Level
Mid Senior
Job Description
Job Title: Performance Engineer
Location: Vienna, VA (Onsite)
Duration: Long Term Contract
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?
1. Neoload, JMeter
2. Performance Testing
3. Performance Monitoring using AppDynamics, Dynatrace
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