Jobs at Qualysoft

Design, develop, and maintain high-performance Java-based market risk engines and backend systems. Architect scalable, resilient enterprise solutions, optimize risk calculation platforms, collaborate with global teams, participate in Agile processes, and contribute to design reviews and best practices while learning financial risk concepts and data models.

Design, execute, and maintain manual and automated tests and frameworks. Create test plans and documentation, perform functional/regression/integration/UAT, validate builds and releases, support CI/CD (GitLab), manage test environments, identify and track defects, and collaborate with developers, DevOps, and product teams to improve QA processes and support production issues and release validation.

The role involves designing scalable cloud-based enterprise solutions while collaborating between business and IT in a telecommunications setting.

Lead the planning, implementation, and operation of complex IT systems in a large-scale public sector project, ensuring high performance and security.

The role involves supporting risk mitigation, governance activities, and standardization in risk management for technology divisions in financial services.

The role involves maintaining and enhancing a customized product from open-source components. Responsibilities include system-level programming, debugging, customizing open-source components, and supporting migration of legacy code to Python while collaborating with a distributed team.

The Senior Integration Engineer is responsible for designing and integrating APIs, managing backend inconsistencies, and collaborating with various teams to ensure smooth API functionalities across markets.

Own and operate a newly developed iOS/Android mobile app and its backend: manage releases and App Store/Play Store deployments, monitor performance and transactions, handle incidents, support CI/CD and backend operations, and define operational processes and best practices with cross-functional teams.

Partner with business and technology stakeholders to discover AI use cases, design agentic workflows, perform prompt engineering and prototyping, evaluate model behavior and risks, assess feasibility and value, document requirements, and coordinate delivery of MVP AI solutions.

Design, build, and deploy machine learning models. Develop AI workflows using various frameworks, and optimize data processing on AWS.

The role involves building, training, and deploying machine learning models using AWS tools, optimizing workloads, and collaborating with data engineers.

The Business Architect will analyze and harmonize business requirements for customer master data across countries, focusing on defining a cohesive group-wide solution.

Manage resources for digital transformation projects, collaborating with IT, product, and marketing teams to enhance digital customer experiences.

Develop and maintain high-performance applications for financial data systems using Java and Python. Collaborate in a distributed team, manage multiple projects, and ensure scalable architecture.

The Salesforce/AgentForce Developer will design chat flows, develop email automation solutions, integrate systems, and enhance Salesforce functionalities. They will collaborate with teams in an Agile environment, focusing on performance improvement and scalable practices.

The M365 Engineer will design, implement, and manage Microsoft 365 environments, support migrations, and ensure compliance while collaborating across teams.

Design, develop, and maintain full-stack applications using Java, Scala, and Angular. Collaborate with stakeholders, own the software lifecycle, improve existing systems, and promote software quality.

Develop and implement responsive user interfaces using Angular, focusing on UI/UX design and collaboration with teams for best practices.

The role requires designing scalable, cloud-based enterprise solutions and fostering collaboration between business and IT in a telecom context.

The role involves designing data pipelines, managing databases, ensuring data quality, and implementing data governance policies while using various technologies and advising clients.