Senior programozó állás, munka

You build, validate, and analyse finite element models (FEA/FEM) for structural, crash, noise, vibration, roughness, and aerodynamic simulations....

• You own the strategy and roadmap for domain specific foundation models; align with engineering and production leaders.
• You build and adapt large language, reasoning, and multimodal models for automation at scale.

• Develop and maintain front-end interfaces with React (or Vue) for intuitive user experiences.
• Implement robust backend services and APIs using Node.js, TypeScript, and Python.
• Design, implement, and optimize database schemas across relational and non-relational systems.

• Define and prioritize product features and roadmap aligned with business goals
• Own the product backlog and ensure clarity and feasibility as well as maintaining of user stories , epics and features
• Collaborate with SCRUM/Nexus teams to drive agile development cycles

implement and maintain software applications and IoT systems on AWS using Python, SQL, and Linux, and continuously optimize application performance and identify areas for improvement....

• Standardize Azure architectures and resources using Infrastructure-as-Code — with a strong focus on automation and enabling internal teams through self-service capabilities
• Develop and onboard innovative cloud-based applications as part of Roland Berger's internal digital ecosystem

As a Senior Program Manager in the Data & Analytics Unit, you will identify, launch & steer innovative projects in the field of data foundations and data insights (including ML). In this role, you will be responsible for the planning and successful execution of multiple data-driven business...

implement and productionise ML-based services on our AI- and big-data-platform Databricks, using Python, SQL and Linux....

Design, develop, implement and own products and solutions to improve the security, reliability, and scalability of N26 cloud infrastructure and systems in the workload orchestration domain...

You will work on AI/GenAI, Business Intelligence, Data strategy & data governance, Data foundation and data architecture, and Intelligent Automation topics on a project basis, for and in collaboration with customers throughout Switzerland and internationally....

• Designing, building, testing and operating software solutions for logistics and manufacturing use cases incl. Robots, AGVs and other (semi) automated manufacturing equipment.
• Working in a hybrid infrastructure environment (cloud and on-prem), managing complex software deployments at scale

• Develop and maintain high-performance software solutions using modern C++ to enable quality assurance in near-production industrial environments
• Collaborate with dynamic and highly motivated agile teams to provide robust workflows for optical, surface, and X-ray metrology

• Deliver creative customer facing features to bring German users on chain.
• Articulate a long term vision for maintaining and scaling our backend systems.

• Design, build and maintain backend services with Kotlin and PHP (Symfony)
• Work on a high-traffic platform, optimizing for performance, stability and scale
• Ship fast, favoring MVPs and rapid iteration based on customer feedback
• Help improve our architecture and backend practices continuously

• Design the core elements of the conversion program based on consumer insights and data.
• Collect and benchmark best-in-class executions from various industries and co-create solutions with markets.
• Contribute to the evolution of the global onboarding strategy.

• Lead the delivery of complex IT initiatives, ensuring timely execution across internal and external teams
• Manage third-party suppliers and maintain performance oversight
• Coordinate integration points across Technology Delivery teams and communicate effectively with stakeholders.

• Design, implement, and maintain high-performance, scalable backend services that power our platform.
• Work on resilient distributed systems using Kafka for event-driven workflows and Redis for real-time, fast data access and caching.

• Design, configure, and optimize interactions with LLMs through retrieval-augmented generation (RAG), and orchestration.
• Implement tool-calling patterns to integrate LLMs with SaaS tools and APIs.
• Leverage fine-tuning or parameter-efficient techniques for performance enhancement.

Design and develop scalable data architectures for integrating our tailored and standard software solutions into our clients' environments, collaborating with professional services, software engineering and cloud operations....

Develop and maintain data architecture: create and manage robust data architectures that support high-volume, high-throughput SaaS applications, focusing on reliability and scalability....