Collaborate on the construction and evolution of an Enterprise Lakehouse platform based on Databricks and Data Mesh principles. Implement data governance, automation, and CI/CD pipelines while ensuring high standards for data quality and architecture.
You will define and shape the target data architecture for large-scale cloud transformation initiatives within the financial services sector. This includes designing enterprise-grade data platforms on GCP and establishing robust data governance, quality standards, and integration patterns.
You will design and optimize modern data platform architectures while collaborating with business stakeholders to define data strategies. Your role involves implementing data processing frameworks and ensuring high standards of data quality, governance, and performance.
Design, develop, and maintain business modules for a high-traffic mobile banking application using a modular monorepo architecture. Collaborate within multidisciplinary squads to manage release cycles, perform testing, and resolve incidents across various environments.
The DevOps Engineer will be responsible for building and architecting a multi-environment AKS platform using infrastructure as code and high availability practices. They will also manage cluster provisioning, CI/CD pipeline integration, and support the migration of applications to containerized environments.
You will evaluate AI use cases with clients and translate business requirements into technical solutions. Additionally, you will develop ML and GenAI solutions while ensuring the creation of stable, scalable, and reproducible AI systems.
The professional will be responsible for designing, building, and maintaining scalable data pipelines and platforms. They will also ensure data quality, governance, and performance while collaborating with multidisciplinary teams.
The candidate will support the operational and administrative management of training activities, including onboarding programs and training logistics. They will also be responsible for data collection and analysis to monitor training hours and improve educational processes.
The Salesforce Solution Architect will define scalable enterprise architectures and lead technical design decisions for complex projects. They will also supervise technical teams and collaborate with stakeholders to ensure high-quality solution implementation.
Develop and maintain web applications using Angular, React JS, or React Native while integrating with financial systems. Collaborate with multidisciplinary teams to define technical solutions and ensure high-quality code using Microsoft Azure services.
You will take professional responsibility for banking projects, including risk management and regulatory reporting, while acting as a bridge between business departments and IT. Additionally, you will manage projects, lead interdisciplinary teams, and provide strategic consulting to clients to drive their digital transformation.
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 aligning business strategy with technological roadmaps and implementing responsible AI practices.
Develop and deploy end-to-end machine learning models and generative AI solutions using the Databricks Lakehouse ecosystem. Design and optimize data pipelines, knowledge graphs, and semantic models to support advanced data analysis and extraction.
Develop and integrate a new financial module for a legal project while ensuring high-quality backend architecture. Collaborate with the team to resolve complex technical problems and maintain code quality through unit testing and SOLID principles.
Lead the technical development of high-performance software solutions for payment ecosystems, focusing on resilience and availability. Design and implement end-to-end APIs and microservices while modernizing legacy systems and ensuring compliance with banking regulations.
Implement high-quality mobile solutions and develop cutting-edge functionality for major investment banks. Work in a Scrum team, test modules, document completed work, and lead a team.
Define and configure the organizational, accounting, financial, and tax architecture for a new insurance operation, including SAP FS-CD processes for collections, payments, reconciliation, and integrations. Support tax requirements, testing, implementation, documentation, business validation, and resolution of complex financial and tax process issues.
Define and implement resilient security architectures based on Zero Trust and Defense in Depth principles. Manage security risks across hybrid, multicloud, and SaaS environments while ensuring regulatory compliance.
The developer will focus on the backend development and integration of a new financial module for a legal project. They will collaborate with the team to ensure high-quality code, robust architecture, and effective problem-solving.
The specialist will define and evolve the architecture for Generative AI services, focusing on scalability, security, and operational efficiency. They will also act as a technical reference, providing mentorship and promoting engineering best practices within the development team.
Design and specify robust, scalable technological solutions that align business requirements with technical capabilities. Lead technical definitions throughout the entire lifecycle, from discovery and conception to deployment and post-rollout monitoring.
The Technical Lead will manage Salesforce releases and collaborate with multidisciplinary teams to develop scalable, maintainable technical solutions. Responsibilities include defining architecture, conducting code reviews, mentoring team members, and ensuring high-quality technical documentation.
Design, develop, and maintain high-quality, scalable mobile applications using Flutter for iOS and Android platforms. Collaborate with cross-functional teams including architecture, UX/UI, backend, and QA to deliver robust financial solutions.
Design, develop, and maintain high-quality, scalable mobile applications using Flutter for iOS and Android platforms. Collaborate with cross-functional teams including architecture, UX/UI, backend, and QA to deliver robust financial solutions.
Design, develop, and maintain high-quality, scalable mobile applications using Flutter for iOS and Android. Collaborate with cross-functional teams including architecture, UX/UI, backend, and QA to deliver robust financial solutions.
Design, develop, and maintain high-quality, scalable mobile applications using Flutter for iOS and Android platforms. Collaborate with cross-functional teams including architecture, UX/UI, backend, and QA to deliver robust financial solutions.
The Application Service Manager will act as a strategic consultant to improve service efficiency and manage complex application development and maintenance projects. Responsibilities include monitoring SLAs, managing client relationships, overseeing budgets, and leading internal teams as a mentor.
The professional will design, build, and maintain scalable data pipelines and architectures within a cloud environment. They will collaborate with engineering and analytics teams to transform business requirements into efficient data solutions.
Lead the development and architecture of AI solutions, transforming business needs into scalable and secure systems. Design logical and physical architectures for cognitive, conversational, and autonomous agents while ensuring governance and compliance.
The professional will develop, integrate, and evolve intelligent solutions using AI agent architectures, LLMs, and low-code platforms. Responsibilities include designing scalable automations, connecting AI agents to internal and external systems, and implementing advanced RAG architectures.
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.
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.
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.
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.
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.
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.
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.
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.
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 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.
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.
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 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 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 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 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.
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.
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.
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.
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.
