Python Test Engineer [$190k/yr+] TS/SCI-FS Poly

SYSTOLIC, INC.

Annapolis Junction, MD, United States

26 days ago

Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Experience level

Experienced

Experience required

2 years minimum

Compensation

$190,000.0

Working hours

Regular working hours

Job source

www.clearancejobs.com

Tech stack

Testing (Software) Agile Methodology Systems Engineering Automation of Tests Code Coverage Linux Monitoring of Systems Systems Analysis Python (Programming Language) Linux System Administration Log Analysis Scrum Methodology

+6 more

Requirements Traceability Software Engineering Test Data Test Scripts Splunk Jenkins

Job description

Seeking a highly skilled professional to perform critical software testing, integration, and development.
Leverage expertise in key technologies including Python, Jenkins, Splunk, and Linux environments.
Work within Agile methodologies to contribute to the full software development lifecycle.
Key responsibilities include developing robust test scripts, meticulously analyzing test data, and generating essential documentation such as test plans and requirements traceability matrices., * Perform full lifecycle software testing, integration, and development activities.
Design, develop, and execute automated test scripts, primarily using Python.
Conduct thorough analysis of test data, identify defects, and report findings effectively.
Create and maintain detailed test plans, test reports, and requirements traceability matrices (RTMs).
Manage and contribute to continuous integration (CI) pipelines using tools like Jenkins/Hudson.
Utilize Splunk for system monitoring, log analysis, and troubleshooting.
Operate and troubleshoot within Linux operating system environments.
Apply Agile/Scrum methodologies for efficient project execution and collaboration.
Contribute to overall software development efforts and participate in systems engineering tasks.
Engage in requirements analysis to ensure comprehensive test coverage and system understanding.
Apply mathematical principles as relevant to software and systems analysis.