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We are a fast-growing global medical device company, developing and manufacturing innovative drug delivery and infusion solutions across the continuum of care from the hospital to the home. We are looking for an excellent SW QA Engineer to join the R&D team.
Job Description:
As a software testing Engineer you will be responsible for designing, planning and execution of TEST scenarios.
Responsibility for finding defects and failures during system development and verification by manual and automatic testing
Interface with the project's development teams to deliver a high quality product to be used on people.
Direct Manage r: SW QA team leader.

We own, develop, and continually optimize an intricate system of digital assets, contents, and infrastructures, all contributing to our digital advertising ecosystems. Our products and digital content range from utility applications, habit-tracking mobile apps, and gaming apps, to native advertising ad tech. All our products and content coordinate together to create unique monetization solutions and advanced revenue streams for digital properties.
Your Impact & Responsibilities:
Conduct manual and automated tests to ensure the quality of our various software products - web applications, server-side and database related tests.
* Develop and execute TEST plans and TEST cases.
* Analyze TEST results and report defects.
* Work with developers to fix defects.
* Design relevant tests to ensure feature functionality and stability.
* Perform ongoing TEST coverage for areas that are yet to be automated.
* Perform the role of quality gatekeeper for his Scrum team.
* Add coverage and maintain the automation tests.
* Can-do attitude, and proactive approach to problem-solving.

We help enterprises and service providers empower their data -driven competitive advantage at scale. We are a leading provider of enterprise-class Storage solutions. The companys software-focused architecture delivers sub-millisecond latency, full availability, and scalability with a significantly lower total cost of ownership than competing Storage technologies. As a Manual TEST Engineer, you will take part in ensuring the quality of םור revolutionary, enterprise-grade Storage system, including its software suite, and infrastructure. You will participate in the whole life cycle of products and versions, working closely with the company departments from Product Requirements, through R&D and TEST Automation development, to Professional Services and Support. Advantages:
* Great atmosphere and work-life balance.
* Cutting-edge technologies.
* Corp-grade data center at your disposal.
 
Responsibilities:
* Participate in E2E R&D processes requirement, development, and TEST design reviews.
* Setup and maintain complex testbeds for system, HW, Scale, Performance, and High Availability testing.
* Investigation and analysis of challenging scenarios.
* Execute high-end load-generators and TEST equipment to exercise our enterprise-grade data protection system to its limits.

We are The data Science team, focused on Risk Management, our work is centered around compliance and due diligence, specifically Fair Lending and Anti Money Laundering by unmasking the bad guys and solving problems. Our team is working with vital analytics to ensure we are within the guidelines for banking regulations, managing the bank's exposure to loss and risk. Our team uses SAS, Python and various Machine Learning models to provide on-demand analysis. You will Design, develop, and implement predictive models, Machine Learning algorithms, and statistical techniques to assess fair lending risks and detect potential instances of discrimination Analyze large datasets to identify patterns, trends, and potential areas of concern related to Fair Lending practices Utilize advanced statistical methods to evaluate model performance, including model calibration, validation, and interpretation of results Collaborate with cross-functional teams to understand business requirements and develop data -driven solutions for Fair Lending compliance Be committed to diversity, equity, and inclusion, with a passion for promoting fairness and equality in lending practices You have Proficient in Hebrew and English both written and verbal, sufficient for achieving consensus and success in a remote and largely asynchronous work environment - Must
Why join us
Our company develops software infrastructure for the fintech industry. Providing innovative technological solutions for various financial services, including payments, credit cards, and loans. Globally, the company has 900 employees, 170 of whom are based in the R&D center at the Jerusalem offices. We offer a wide range of wellness benefits including ongoing learning and development opportunities; monthly wellness reimbursement; volunteering opportunities; charitable donation matching; Keren Hishtalmut on full salary; private health and dental insurance; advanced study fund and various company events.

we are looking for a backend Tech Lead.
Developers who understand and believe in software engineering best
practices (design, clean code, testing, code reviews, automation, etc) and who are also aware of bad practices and anti-patterns.
The Technology - Our solution is built on top of cutting-edge technologies. We run everything on AWS and are mostly serverless. The server-side language of choice is Typescript on Node.js, and Federated GraphQL is our API layer. On the client side we use React, React -Native and Remix(!!). We are big fans of automating everything and doing as little manual labor! CI/CD processes are running on CircleCI, we deploy infrastructure-as-code. A partial list of the technologies & services we are using includes: AWS lambda, ECS, API Gateway, SNS, SQS, Postgres, Elasticache, GraphQL, Apollo Server, React, Serverless Framework, Terraform, and many more.

We are The Data Science team, focused on Risk Management, our work is centered around compliance and due diligence, specifically Fair Lending and Anti Money Laundering by unmasking the bad guys and solving problems. Our team is working with vital analytics to ensure we are within the guidelines for banking regulations, managing the bank's exposure to loss and risk. Our team uses SAS, Python and various machine learning models to provide on-demand analysis. You will Collaborate with cross-functional teams to understand business requirements, data needs, and project priorities, ensuring alignment of data engineering and BI initiatives with strategic objectives Work closely with business users to define KPIs, metrics, and performance indicators, ensuring alignment with strategic objectives and business priorities Develop and maintain interactive dashboards, reports, and data visualizations using BI tools such as Power BI, Tableau, or similar platforms Extract, clean, transform, and load (ETL) data from various sources such as databases, APIs and spreadsheets to support reporting and analysis activities Perform in-depth data analysis to identify trends, patterns, and insights that drive business decisions and improve operational efficiency Provide training and support to end-users on BI tools and dashboards, empowering them to self-serve and explore data-driven insights Be committed to diversity, equity, and inclusion, with a passion for promoting fairness and equality in lending practices You have
* 5+ years of experience in data analysis, statistical modeling, and predictive analytics within the financial services industry, preferably in Fair Lending or credit decisioning - Must
* Bachelor's degree in computer science, Engineering, Mathematics, Statistics, or related field - Must (Advanced degree an advantage)
* 3+ years of experience in business intelligence, data analysis, or a related role, preferably in a consulting or corporate environment- Must
* Proficiency in BI tools such as Power BI, Tableau, AWS QuickSight, or similar platforms, with hands-on experience developing interactive dashboards and reports Must
* Strong analytical skills, with the ability to analyze complex data sets , draw meaningful conclusions, and communicate insights effectively to stakeholders - Must
* Knowledge of data visualization best practices , including design principles, usability, and accessibility standards - Must
* Familiarity with programming languages such as Python or R for data analysis and visualization
* Ability to collaborate with cross-functional teams and stakeholders at all levels of the organization
* Strong attention to detail, with a focus on data accuracy, completeness, and reliability
* Ability to work independently and as part of a team in a fast-paced environment
* Exhibit problem solving skills, strategic thinking, and anticipate future trends and challenges A Bonus
* Familiarity with Fair Lending regulations such as the Equal Credit Opportunity Act (ECOA), Fair Housing Act (FHA), and Home Mortgage Disclosure Act (HMDA) or other consumer financial protection laws and regulations preferred
* Certification in business intelligence, data analytics, or related field an advantage
* Experience in the financial service sector an advantage
* Experience with big data technologies and frameworks for large-scale data processing and analytics an advantage
* Understanding of industry-specific data and business processes in sectors such as finance and credit an advantage
* Experience with data modeling, data warehousing, and ETL processes an advantage
*  Experience working with cloud-based BI solutions such as Microsoft Azure, AWS, Google Cloud an advantage Why join us Cross River Technologies develops software infrastructure for the fintech industry. Providing innovative technological solutions f