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QA Automation + Performance testing Engineer – Chicago IL (Day 1 Onsite)
- Chicago, Illinois, United States
- Chicago, Illinois, United States
Über
Job Description
Hands on experience in software test automation and performance engineering (or equivalent), covering AWS and on‑prem platforms.
Strong coding skills in one or more: Java, Python, JavaScript, Groovy, TypeScript.
Hands‑on experience with testing tools: Cypress, Selenium, JMeter, Blazemeter or equivalent tools.
Working proficiency with development toolsets and CI/CD pipelines: Jenkins, GitHub, Bitbucket, IntelliJ IDEA, VS Code.
Familiarity with distributed services and microservices architecture in AWS; Kubernetes; databases such as Oracle and MongoDB.
Experience with observability tooling and metrics: Dynatrace, Geneos, Splunk, Grafana; ability to interpret system/resource metrics and application telemetry.
Familiar with Agile Methodology; ability to work independently with strong analytical, communication, and documentation skills; ability to influence cross‑functional teams.
Preferred Qualifications
Experience in financial services; domain knowledge in Receivables or Lockbox.
Performance tuning across JVM/.NET, databases, and front‑end assets.
Experience leveraging GenAl to accelerate test creation, analysis, or documentation; define and own the automation strategy and roadmap; design, build, and maintain robust test automation frameworks; implement reliable automated tests for UI, API, microservices, and data workflows; integrate automated tests into CI/CD; establish quality gates, automated reporting, and release readiness criteria.
Lead test strategy and coverage for functional and non‑functional requirements; set and enforce standards for test data management and environment readiness to ensure deterministic, reproducible runs.
Key Skills
Java, Python, JavaScript, Groovy, TypeScript.
Cypress, Selenium, JMeter, Blazemeter.
CI/CD: Jenkins, GitHub, Bitbucket, IntelliJ IDEA, VS Code.
AWS, Kubernetes.
Databases: Oracle, MongoDB, SQL, NoSQL.
Observability: Dynatrace, Geneos, Splunk, Grafana.
Performance testing lifecycle: requirements gathering, workload modeling, environment setup, execution (load and stress).
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Sprachkenntnisse
- English
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