The engineer will develop production-ready Generative AI products, including intelligent agents, RAG pipelines, and full-stack applications. They will collaborate with architects to ensure scalable, observable, and high-performance AI solutions.
The role involves designing and optimizing scalable data structures and pipelines to ensure data integrity, quality, and governance. You will collaborate with stakeholders to translate business needs into technical solutions while integrating various data sources and APIs.
Manage the full lifecycle of ServiceNow projects, acting as the primary liaison between clients and internal technical teams. Ensure project delivery meets scope, budget, and quality standards while coordinating multidisciplinary teams across different time zones.
The specialist will implement and validate security controls for Google Cloud Platform Landing Zones to ensure compliance with FedRAMP High and IL4 standards. They will collaborate with engineering and DevOps teams to translate regulatory requirements into technical configurations and oversee security readiness before operational handover.
Develop and evolve mission-critical applications for the financial market with a focus on high performance and low latency. Participate in architectural decisions, code reviews, and the implementation of robust, scalable solutions using parallel processing.
The role involves designing and optimizing scalable data structures and pipelines to ensure data integrity and governance. You will collaborate with stakeholders to translate business needs into technical solutions while integrating various data sources and APIs.
The role involves building and implementing Landing Zones in Google Cloud Platform while maintaining infrastructure via Terraform and CI/CD pipelines. You will also apply governance and compliance policies to ensure secure, scalable, and reliable cloud environments.
Implement and administer secure Google Cloud Platform environments, including Landing Zone setup and organizational structure. Collaborate with DevOps and security teams to ensure compliance with FedRAMP High and IL4 standards using Infrastructure as Code.
Design, develop, and maintain robust ETL/ELT data pipelines within the FICO ecosystem to ensure data quality and availability. Collaborate with data scientists and stakeholders to translate business requirements into efficient, scalable data solutions.
Design, develop, and maintain robust ETL/ELT data pipelines to ensure data integrity and availability within the FICO ecosystem. Collaborate with data scientists and software engineers to translate business requirements into efficient, scalable data solutions.
You will provide day-to-day technical support to employees, including the installation, configuration, and maintenance of hardware and software. Additionally, you will diagnose IT issues, assist with new employee onboarding, and train users on company technologies.
Develop, maintain, and evolve corporate applications using .NET and C# while integrating REST APIs. Utilize artificial intelligence tools to enhance productivity in coding, documentation, testing, and process optimization.
The role involves the development, maintenance, and testing of APIs and microservices architecture. The professional will work with Java and AWS cloud environments while utilizing AI tools and agile practices.
Responsible for the development, maintenance, and testing of APIs and microservices architecture. You will work with cloud-based AWS infrastructure and integrate AI tools into development workflows.
The professional will develop data engineering services for Master Data Management and build scalable AI solutions. They are responsible for integrating AI models into business processes and ensuring the operationalization of advanced AI and generative AI solutions.
Develop and implement production-ready Generative AI products, including RAG pipelines and intelligent agents. Collaborate with cross-functional teams to ensure scalable, observable, and high-performance AI solutions.
You will analyze AI use cases with clients and develop ML and GenAI solutions using LLMs and RAG. Additionally, you will build data and ML pipelines and support the integration of AI applications into cloud environments.
Lead the backend team in developing a cell-based architecture platform on Microsoft Azure, focusing on scalability, resilience, and observability. Manage technical standards, perform code reviews, and collaborate with architecture and DevOps teams to evolve the solution.
Develop, support, and maintain high-performance trading and quantitative analysis applications for front-office stakeholders. Collaborate with cross-functional teams to implement real-time volatility analysis, pricing tools, and robust back-end infrastructure.
The Senior Data Engineer will design, develop, and optimize complex data pipelines and integration processes while ensuring data quality and monitoring. They will also collaborate with multidisciplinary teams and stakeholders, providing technical mentoring to junior staff.
You will be responsible for defining and evolving client data architectures to build modern, scalable, and business-oriented data platforms. The role involves collaborating with technical and business stakeholders to support project initiatives, pre-sales activities, and the implementation of data management best practices.
Develop backend solutions using Golang to modernize legacy systems and design robust RESTful APIs. Collaborate on technical code reviews and support DevOps integration, including deployment automation and application monitoring.
The professional will organize, collect, and process large volumes of data using ETL tools to support business intelligence strategies. They are also responsible for maintaining data pipelines, ensuring information security, and creating data metrics and dashboards.
Develop and implement a holistic UX strategy for AI-powered enterprise products, translating complex business processes into intuitive user experiences. This includes creating interactive prototypes in Figma, conducting user research, and maintaining a consistent design system.
Organize and process large volumes of data using ETL tools to translate business objectives into intelligence strategies. Maintain data pipelines, ensure security, and implement Lakehouse architecture for analytical consumption and AI.
Act as a security architect for public applications on AWS, defining standards for edge security, identity, and resilience. Integrate security into the SDLC and DevOps pipelines while fostering a culture of security champions within development teams.
Organize, collect, and process large volumes of data using ETL tools to translate business objectives into information management strategies. Maintain data pipelines, ensure access security, and create dashboards to expose key metrics.
The professional will develop, maintain, and evolve solutions based on the SAS platform for strategic financial market projects. Responsibilities include creating ETL processes, optimizing routines, and generating management reports to support decision-making.
Develop, maintain, and evolve data solutions using the SAS platform to support strategic financial market projects. This includes creating ETL processes, optimizing routines, and generating management reports for decision-making.
Manage IT projects within the Retail, Fashion, and Luxury sectors, ensuring delivery on budget, schedule, and quality. Coordinate delivery teams, manage client relationships, and support pre-sales activities and project documentation.
Responsible for developing new business within the Industry area by identifying opportunities and acquiring new clients across various markets. Manages the entire sales cycle from lead qualification to contract closure in collaboration with Presales and Delivery teams.
Manage complex IT projects within the banking and insurance sectors, ensuring delivery on budget, schedule, and quality. Coordinate delivery teams, handle client management, and support pre-sales activities and technical solution design.
The role involves developing technical and functional analyses for various banking projects and collaborating with stakeholders and technical teams. Additionally, the candidate will support team growth through mentoring and coordinate junior Business Analysts.
Develop technical and functional analyses independently for various insurance projects and clients. Coordinate junior business analysts and collaborate with stakeholders to optimize project activities and decision-making processes.
Act as a Subject Matter Expert in banking functional and regulatory areas to define high-value solutions and deliverables. Drive business growth through analysis, mentorship of junior staff, and identifying upselling opportunities for clients.
Design scalable and sustainable enterprise architectures that align business needs with technological solutions. Manage stakeholder relationships, mitigate architectural risks, and lead the technical growth of the team through knowledge sharing.
Lead the technical design and end-to-end development of complex enterprise software modules while ensuring software quality. Coordinate a team of up to 10 people, managing performance goals and acting as the primary technical interface for clients.
The role involves managing application development and maintenance projects, focusing on SLA monitoring, contract management, and budget control. It also requires managing internal resources as a mentor and coach while overseeing third-party vendors and client satisfaction.
The role involves managing application development and maintenance services, focusing on improving service efficiency and designing new processes. Key duties include monitoring SLAs, managing budgets, handling vendor relations, and mentoring internal resources.
Develop and maintain scalable data pipelines and ETL/ELT processes to ensure high-performance data integration. Collaborate with multidisciplinary teams to optimize cloud data architectures and ensure data governance and quality.
Responsible for the design, implementation, and operation of modern AI solutions across the entire lifecycle. This includes developing end-to-end ML pipelines and integrating AI results into frontends and dashboards.
Develop modern, scalable fullstack applications using .NET for the backend and Angular or React for the frontend. Integrate REST APIs and microservices while contributing to technical decisions and architectural evolution in cloud environments.
You will be responsible for implementing high-quality iOS solutions for financial sector clients while working within a Scrum team. Your duties include creating cutting-edge functionalities, performing module testing, and reporting directly to the Team Leader.
You will design and implement scalable data platforms in cloud environments while developing modern ELT/ETL and streaming pipelines. Additionally, you will build data products for analytics and AI use cases while ensuring data quality, performance, and cost optimization.
You will design end-to-end cloud-based data platform architectures, including lakehouse and hybrid models, to support AI and ML use cases. Additionally, you will define data modeling strategies, ensure governance compliance, and lead architectural workshops to translate business requirements into technical solutions.
As a Senior iOS Developer, you will be responsible for implementing high-quality solutions for a client in the financial sector, working daily within a Scrum framework. You will create cutting-edge functionalities, perform module testing, create documentation, and report directly to the Team Leader.
GFT Technologies focuses on designing advanced solutions for data and AI transformation, modernizing technology infrastructures, and developing next-generation core systems for leading clients in banking, insurance, industry, and robotics sectors. The company collaborates closely with clients to unlock their full potential using deep industry expertise and modern technologies.
The role involves managing the entire value chain from identifying new business opportunities, handling proposals and contract negotiations, to successful implementation of consulting projects. Key tasks include active client acquisition in Germany and Austria, serving as the primary client contact, leading interdisciplinary teams, and supporting the market positioning of AI as a core GFT competency.
The Senior Consultant Banking will take on professional responsibility in projects related to overall bank management, reporting, risk management, and other central banking processes. They will analyze complex business processes and regulatory requirements, manage projects, and ensure successful implementation of solutions.
The primary responsibilities involve serving as a Senior Test Automation Engineer, focusing on quality assurance and automation tasks. This includes developing and executing automated tests using specified frameworks and languages.
The main responsibilities involve developing skills as a Semi Senior Test Automation Engineer, focusing on quality assurance and automation tasks. This includes utilizing strong programming knowledge and specific automation frameworks for testing web and API services.
