The Software QA Engineer plays a critical role in ensuring the quality and reliability of company software products by designing, executing, and maintaining systematic testing processes.
Compensation
The estimated starting compensation range is $55,631 - $98,467.
Responsibilities
Directs the design, execution, and maintenance of robust testing strategies across multiple software products and platforms
Champions the development of automated testing frameworks and tools to improve efficiency and scalability
Acts as a key liaison between QA, development, and engineering teams, ensuring seamless functionality and integration in complex environments
Create test cases in JIRA for documenting bugs and testing gaming software design
Perform functional, regression, and system testing to identify and document defects
Requirements
Bachelor’s degree in Computer Science, Software Engineering, or a related field
Lead engagement teams in data management, governance, and analytics to deliver business value for clients.
Compensation
The base salary for this job is $179,475.00 per year.
Responsibilities
Demonstrate in-depth data management and governance knowledge
Design methodology and execute activities to identify business needs
Utilize data strategy and governance to highlight client challenges
Gather AI Ready Data and leverage for client goals
Analyze data using Enterprise Intelligence
Requirements
Bachelor's degree in Finance, Accounting, Economics, Mathematics, Statistics, Information Systems, Computer Science, Engineering, Business or a related field
Master’s degree in Finance, Accounting, Economics, Mathematics, Statistics, Information Systems, Computer Science, Engineering, Business or a related field
The salary range for this job is:
New York City, Boston, and Washington DC Metro Areas, Washington State, and Southern California offices – $150,700 to $251,200
Bay Area California offices – $157,100 to $261,600
All other offices locations in the US, including Sacramento – $125,500 to $230,200
Responsibilities
Lead the development and execution of AI strategies for clients
Collaborate with AI engineers and data scientists to deliver modern Machine Learning and AI solutions
Provide technical guidance and share knowledge with team members
Deliver client services focusing on complex, judgmental and specialized issues
Build relationships with client personnel at appropriate levels
Requirements
Bachelor’s degree in Business or Economics, Technology Entrepreneurship, Computer Science, Informatics, Statistics, Applied Mathematics, Data Science, or Machine Learning
Coordinate worldwide cryptographic requirements, provide consulting on technical realization and industrialization, ensure implementation based on defined standards, and take product ownership for developed components and services.
Compensation
Min. 3000,- Eur/gross.
Responsibilities
Coordinate new crypto requests from product teams, including requirement clarification, prioritization, and delivery planning.
Consult on technical realization and industrialization to ensure secure, scalable, and cost-effective solutions.
Implement requirements based on defined standards and the technology stack; create reusable solutions and automations.
Own product lifecycle management, roadmaps, and quality assurance for developed cryptographic components and services.
Provide industrialization and ramp-up support for divisions and plants to enable reliable rollout and operations.
Software engineer on the Mobile User Objective System (MUOS) program, responsible for research, design, development, maintenance, and documentation of MUOS software applications and engineering tools.
Compensation
Combined Salary Range USD $95,384.00 - USD $105,817.00 /Yr.
Responsibilities
Research, design, develop, maintain, and document MUOS software applications and engineering tools throughout the software development lifecycle.
Translate system and software requirements into solutions that address hardware/software interfaces and system-level communications behavior.
Support lab hardware/software integration, test setup, configuration, and execution of functional, regression, system, and network tests.
Develop and maintain test tools, automation, scripts, and procedures as needed, including Eggplant-based testing and Python/Linux scripting where applicable.
Debug software and integration issues, analyze logs and test results, document defects, support root-cause analysis, implement fixes, and verify corrections.
Requirements
Bachelor's degree in Software Engineering, or related Science, Technology, Engineering or Mathematics field
Master's degree in Software Engineering, or related field
MS degree in Business or Economics, Technology Entrepreneurship, Computer Science, Informatics, Statistics, Applied Mathematics, Data Science, or Machine Learning
Nice to have: Agile and/or Scrum methods of delivery
Nice to have: design led thinking
Nice to have: Microsoft, Databricks, AWS, NVIDIA or Snowflake Certifications in the Data & AI domain
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