Python Test Engineer [$273k/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

Expert

Experience required

8 years minimum

Compensation

$273,000.0

Working hours

Regular working hours

Job source

www.clearancejobs.com

Tech stack

Testing (Software) Agile Methodology Data Analysis Systems Engineering Automation of Tests Continuous Integration Linux Python (Programming Language) Linux System Administration Log Analysis Scrum Methodology Requirements Traceability

+8 more

Software Engineering Software Systems Test Data Strategies of Testing Test-Driven Development (TDD) Test Scripts Splunk Jenkins

Job description

Lead software testing, integration, and development efforts.
Apply expertise in Python, Jenkins, Splunk, Linux, and Agile methodologies to ensure robust software solutions.
Design, develop, and execute test scripts, analyze complex test data, and create comprehensive test plans and requirements traceability matrices., * Execute full lifecycle software testing and integration, ensuring robust system performance.
Design, develop, and maintain automated test scripts primarily using Python.
Analyze test data, troubleshoot issues, and provide detailed reports on findings.
Generate comprehensive test plans, procedures, and requirements traceability matrices.
Implement and manage Continuous Integration (CI) processes utilizing Jenkins/Hudson.
Leverage Splunk for effective log analysis, monitoring, and system diagnostics.
Operate proficiently within Linux environments for development, testing, and deployment.
Actively participate in an Agile/Scrum team, contributing to all phases of the development cycle.
Support software development efforts with an emphasis on test-driven development principles.
Perform detailed requirements analysis to inform test strategy and execution.
Apply Systems Engineering principles to ensure comprehensive integration and verification.
Utilize strong mathematical skills for data analysis and problem-solving in testing contexts.