3003 Aws And Devops Engineer Engineering jobs in Duluth,GA

Reliability Engineer

Anduril Industries

Atlanta, GA 30349

Minimum of 5 years experience as a Reliability Engineer, Design/Development Engineer, or Test Engineer
B.S. Degree in Mechanical Engineering, Aerospace Engineering, Systems Engineering, or equivalent technical discipline
Experience with safety-critical hardware & software systems in the defense or aerospace industry
Experience or familiarity with MIL-STD-810, MIL-HDBK-217, MIL-STD-461, MIL-STD-516C, and MIL-STD-1629
Experience setting up a Reliability Engineering framework for a product or program, including support of production testing, field testing, data acquisition, and data analysis
Expertise in reliability analysis techniques, including FMEA/FMECA, predictive modeling, Weibull analysis, and Fault Tree Analysis
Experience with generating qualification testing requirements and executing tests to proactively characterize product behavior and performance
Failure investigation/analysis experience with proven track record of solving problems and preventing reoccurrence
Design Review Experience (PDR, CDR, MRR) and confidence in presentation skills across all levels of leadership
Eligibility to obtain/maintain a U.S. Secret clearance, as required

Adecco

Norcross, GA 30093

Hire Standard Staffing

Duluth, GA

CSC ServiceWorks

Peachtree Corners, GA 30092

Care.com

Duluth, GA 30096

AutomationDirect.com

Cumming, GA 30040

5+ years of experience in software quality assurance or software testing roles
3+ year experience architecting and designing tests based on user stories and acceptance criteria
Demonstrated proficiency setting up and using automated testing tools (e.g., Selenium, Playwright)
Scripting in Python, JavaScript, or a similar automation language
Familiarity with AI-driven testing tools for regression or visual testing
Strong understanding of software QA methodologies, tools, and processes
Working knowledge of SQL and data validation techniques
Ability to analyze test metrics and apply data-driven quality improvements