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Senior Applications Tester

posted by: spj_bot

With more than 20 years of proven experience, QUALCO is a leading Fintech solutions provider, offering a wide range of analytics-driven, highly scalable enterprise software solutions in over 35 countries worldwide. Our end-to-end technology solutions cover a wide range of needs for Banking, Financial Services, Utilities, Insurance, Retail organisations, and beyond.
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We are looking for a skilled Senior Applications Tester with experience in manual testing, test planning, and business-focused quality assurance. Strong expertise in drafting test cases, defining acceptance criteria, and ensuring software quality through structured testing methodologies. Capable of implementing basic test automation to support manual efforts. Well-versed in XML document processing and workflows within multilingual legislative environments, ensuring accurate validation of structured data.

Key Responsibilities:

Job Skills

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Senior Software Engineer (Node/Vue/TypeScript) - Remote Europe

posted by: spj_bot

Jobgether has ALL remote jobs globally. We match you to roles where you're most likely to succeed, and provide feedback on every application to help you learn. No more guesswork, application black holes, or recruiter ghosting in your job search.

For one of our clients, we are looking for a Senior Software Engineer (Node/Vue/TypeScript) - Remote Europe, remotely from Europe.

In this role, you will work on building and enhancing a cutting-edge book editing tool, collaborating with designers and engineers to deliver new features. Your work will directly impact authors by helping them create beautiful and professional books for print and e-readers. As a Senior Software Engineer, you will take ownership of the full feature development process, from design to production, while also ensuring performance, scalability, and security.

Accountabilities:

Job Skills

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Back-end Software Engineer

posted by: spj_bot

About us

Navarino is an innovative global technology company with offices in Greece, Norway, Germany, Cyprus, the United Kingdom, Hong Kong, USA, UAE, Japan and Singapore. We develop technology solutions for the shipping industry and are a leader in our sector. Our R&D and engineering departments focus on building and enriching our product portfolio, with specialized software and services that we develop in-house.

We pride ourselves on our people and culture. We encourage innovative thinking, teamwork, and excellence. Our committed people, our values and ways of working create a dynamic, professional, fun, and family-oriented environment which delivers high value and excellence to our customers.

What will you be doing?

We are seeking dynamic and imaginative software engineers to join our thriving team. You will have the opportunity to work on a range of cutting-edge web-based products, both existing and new, utilizing the latest technologies. As a valued team member, you will actively contribute to the design and implementation process, enabling you to shape the technical and design decisions of the team.

At our company, we embrace an innovative approach, leveraging the most recent technological advancements and tapping into the power of the open-source ecosystem. Our mission is to develop inventive solutions that capitalize on the latest developments in technology.

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Machine Learning Engineer (Canada)

posted by: spj_bot

Tiger Analytics is an advanced analytics consulting firm. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our consultants bring deep expertise in Data Science, Machine Learning, and AI. Our business value and leadership have been recognized by various market research firms, including Forrester and Gartner.

We are looking for a motivated and passionate Machine Learning Engineers for our team.

As part of this job, you will be responsible for:

  • Providing solutions for the deployment, execution, validation, monitoring, and improvement of data science solutions
  • Creating Scalable Machine Learning systems that are highly performant
  • Building reusable production data pipelines for implemented machine learning models
  • Writing production-quality code and libraries that can be packaged as containers, installed and deployed

Requirements

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