The Senior Sales Manager will focus on acquiring new clients for the Smaragd.AI compliance suite within the financial and regulated industries. This role involves leading interdisciplinary teams and positioning GFT's software solutions and expertise in AFC, AML, and AI markets.
The analyst will map and document business processes, services, and products while structuring service catalogs. They will also facilitate stakeholder meetings, identify process gaps, and ensure alignment with ITIL 4 governance standards.
The consultant will provide technical support for PL/SQL systems and participate in software analysis and development. The role involves working with relational databases and may include night support shifts.
The Senior Process Analyst will map and document business processes, services, and products while structuring service catalogs. They will also facilitate stakeholder meetings, identify process gaps, and ensure alignment with ITIL 4 governance standards.
The specialist will design, implement, and maintain infrastructure as code using Terraform while automating the lifecycle of development and production environments. They are also responsible for optimizing CI/CD pipelines and ensuring the security, availability, and observability of the infrastructure.
Develop, maintain, and evolve Robotic Process Automation (RPA) solutions using UiPath. Collaborate with multidisciplinary teams to analyze business requirements, document processes, and ensure quality through testing and incident resolution.
Develop and architect innovative AI agent solutions focused on process automation and technological efficiency. Integrate LLMs with internal and external systems using APIs and advanced RAG architectures.
Support the development, maintenance, and evolution of applications on the ServiceNow platform while collaborating with cross-functional teams. Create and manage technical components such as Client Scripts, Business Rules, and integrations using REST and SOAP APIs.
The candidate will lead the migration of IBM DataStage processes to Python and PySpark within an AWS environment. They are responsible for designing scalable data pipelines, modernizing the data platform, and utilizing AI tools to support development and documentation.
Develop and evolve modern, scalable corporate applications using Java, Spring Boot, and modern front-end frameworks. Manage API and microservices integration while ensuring high performance and security within AWS cloud environments.
Develop and evolve fullstack applications using Java and Angular while building scalable REST APIs and microservices. Collaborate with multidisciplinary agile squads to integrate cloud services and innovative Artificial Intelligence solutions.
You will be responsible for defining and evolving client data architectures to build modern, scalable, and business-oriented data platforms. This role involves supporting pre-sales activities, mentoring team members, and ensuring alignment between business requirements and technological solutions.
Lead the design, development, and delivery of technology solutions for equity derivatives and structured products distribution. Manage system reliability, mentor junior engineers, and collaborate with compliance and risk teams to ensure regulatory adherence.
The role involves analyzing data to identify patterns and developing multi-agent systems for process automation and decision support. You will also be responsible for integrating analytical solutions, managing large datasets, and communicating insights through executive reports.
The specialist will implement and validate security controls for GCP Landing Zones to ensure adherence to FedRAMP High and IL4 regulatory requirements. They will collaborate with engineering and DevOps teams to translate compliance needs into technical configurations and oversee security readiness before operational handover.
The professional will design, build, and deploy complex agentic AI systems while providing technical guidance to junior team members. They will also collaborate with cross-functional teams to define AI roadmaps and implement evaluation frameworks for LLMs.
Lead the architecture and development of scalable AI solutions, including cognitive agents and RAG strategies. Ensure technical governance, system resilience, and compliance with financial sector regulations.
Develop, configure, and maintain solutions within the ServiceNow Financial Services Operations module. Collaborate with cross-functional teams to design integrations and ensure high-performance, intuitive user experiences.
The role involves developing and architecting AI systems, including Machine Learning and Generative AI, while collaborating with senior engineers to build and test agentic components. Responsibilities include implementing AI agents, contributing to evaluation frameworks, and supporting production observability and incident management.
Define the strategic vision for AI architecture and govern the corporate AI platform to ensure scalability, security, and regulatory compliance. Lead the evolution of the AI ecosystem by bridging business strategy with technical implementation and overseeing the lifecycle of AI agents.
Define and implement resilient security architectures based on Zero Trust and Defense in Depth principles. Ensure compliance with regulatory standards while managing security risks across hybrid, multicloud, and SaaS environments.
The Software Architect will lead the technical construction and evolution of digital products by defining scalable, resilient, and secure architectures. They will act as a technical reference for development teams, ensuring architectural quality and supporting strategic technology decisions.
You will contribute to technical cybersecurity risk assessments for embedded and interconnected systems to identify threats and vulnerabilities. You will also define security measures to mitigate risks and document technical findings while communicating progress effectively.
Design and specify scalable technological solutions that align business requirements with technical capabilities. Lead technical definitions throughout the solution lifecycle, including architecture documentation, integration, and post-rollout monitoring.
The Corporate Architect will lead the evolution of the organization's enterprise architecture by aligning business strategy with technology and data. They are responsible for defining target architectures, roadmaps, and governance frameworks to support strategic business objectives.
The role involves engineering and developing backend applications with a focus on modernizing legacy systems into distributed, event-driven architectures. You will also define and apply modern cloud-native architectures while ensuring platform scalability, observability, and performance.
The specialist will design, implement, and maintain event-driven integration architectures between SAP environments and satellite systems. They will lead technical implementation efforts while ensuring efficient, scalable, and secure data exchange across the organization.
Responsible for the development, maintenance, and testing of APIs and microservices architecture. Collaborates within agile teams to deliver high-quality technological solutions.
The Account Manager will analyze client challenges to translate them into tailored GFT solutions and manage end-to-end sales and bid processes. They are responsible for building strong stakeholder relationships and coordinating with internal delivery units to ensure project success.
The professional will develop backend applications using Node.js, MongoDB, and Oracle within AWS and GCP cloud environments. They will also manage high-flow statistical systems using NoCode tools and participate in technical refinement meetings.
The professional will design, build, and deploy agentic AI systems and components into production environments. They will collaborate with cross-functional teams to optimize computing infrastructure, mitigate operational risks, and manage costs.
Develop and maintain applications using C# and .NET Core while integrating REST APIs. Collaborate with cross-functional teams to implement system integrations and ensure software quality through code reviews and unit testing.
Design, develop, and maintain robust APIs and scalable microservices architectures using .NET Core and Go. Implement resilient solutions on AWS using event-driven and serverless components while ensuring application stability through automated testing and code reviews.
Translate business needs into robust, scalable, and secure technical solutions while defining AS IS and TO BE architectures. Lead digital transformation initiatives, mentor technical teams, and ensure adherence to security, compliance, and resilience standards.
The professional will act as a bridge between business and technology areas to define and implement data solutions. They are responsible for gathering requirements, creating functional documentation, and providing technical support for ETL/ELT processes and SQL development.
The Cloud Security Architect will define security standards for AWS-hosted applications and integrate security practices into the DevOps pipeline. They will collaborate with development teams to identify vulnerabilities and influence the corporate cloud security strategy.
You will advise C-level stakeholders on strategic digital, data, and AI transformation initiatives while bridging the gap between business requirements and technology teams. Additionally, you will develop technology roadmaps, ensure regulatory compliance, and coach project teams to drive sustainable solutions.
The primary responsibility is the acquisition of new customers for the AI-powered compliance suite Smaragd.AI, focusing on the DACH region and international markets. You will lead interdisciplinary teams and support the positioning of software solutions in the areas of AFC, AML, and AI.
The role involves managing data schemas, backups, and read replicas while developing efficient SQL and NoSQL queries. Responsibilities also include building ETL pipelines using AWS Glue, Spark, and Airflow, as well as maintaining data governance and security within the AWS ecosystem.
The Data Engineer will design and develop custom data connectors using Google Cloud Platform services to support a manufacturing modernization program. They will also implement reliable data integration processes, including error handling and observability, while collaborating with architects to ensure data quality.
The Data Scientist will treat, transform, and analyze structured and unstructured data to identify business trends and generate actionable insights. They are responsible for developing algorithms, creating AI-driven solutions, and communicating findings to non-technical stakeholders using effective storytelling.
The consultant will analyze and implement business requirements within the core banking environment while advising clients on system modernization. They will also act as a bridge between business, architecture, and development teams to facilitate workshops and support project rollouts.
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.
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.
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.
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 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.
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.
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.
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.
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.
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.
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.
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 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 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 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.
