Offi állások, munkák it programozás, fejlesztés területen

• Setting the strategic direction for IT & Cyber Risk product area
• Owning the product vision, roadmap, and outcomes for IT & Cyber Risk on the Diligent One Platform
• Partnering with engineering, design, data science, and senior leadership to build products for CISOs, risk managers, and boards

• Setting the strategic direction for IT & Cyber Risk product area
• Owning the product vision, roadmap, and outcomes for IT & Cyber Risk on the Diligent One Platform
• Partnering with engineering, design, data science, and senior leadership
• Shaping AI-powered risk detection and automation features

• You design and implement a cloud-native, multi-tenant and secure asset monitoring platform for distributed fiber optic sensing solutions
• You build robust, secure and observable platform components, data models, interfaces and APIs

• Operate, maintain, and continuously improve enterprise PKI services to ensure high availability, security, and compliance
• Design and implement PKI solutions to support new and existing encryption and cryptographic services

• Building high-performing, AI-enabled teams within Budapest Global Center for Product Innovation
• Leading engineering for strategic products with design, delivery, and quality across multiple agile teams
• Defining technical strategy, system architecture, and integration of AI/ML-powered components

Design, build, and maintain large-scale C++ analytics libraries with emphasis on performance, correctness, extensibility, and long-term maintainability in a production environment...

• Owning and continuously refining the product roadmap for a core part of Diligent’s governance, risk and compliance SaaS platform
• Defining and driving product strategy aligned with Diligent’s vision for modern governance

• Owning and continuously refining the product roadmap using customer insight, data and market trends
• Defining and driving product strategy aligned with Diligent’s vision for modern governance

Senior C# /.NET SW Engineer focused on Test Automation About Toledo TOLEDO is a global leader in precision instruments and services. We are renowned for innovation and quality across laboratory, process analytics, industrial, product inspection, and retailing applications. Our sales and service...

• Supporting strategic implementation projects in choosing the right technologies, products, and partners (internal & external)
• Bringing in your project management expertise to ensure the project deliverables and expectations are met with internal & external technology providers

• Leading and growing multiple agile engineering teams
• Defining and owning the technical roadmap with stakeholders
• Championing responsible use of AI and automation
• Aligning technical strategy with business goals
• Mentoring and coaching engineers at all levels

• Building and evolving the Risk Manager platform
• Developing secure, scalable microservices using TypeScript and React in a serverless architecture on AWS
• Contributing to AI-powered features for risk management
• Taking end-to-end ownership of services from development to deployment and monitoring

• Ownership and delivery of well-defined stories independently with understanding of team architecture, frameworks, and tools
• Active contribution to code reviews, testing practices, and maintenance of service stability

• Design and own secure, scalable services
• Guide technical decisions and evaluate trade-offs including AI-driven components
• Architect and deliver AI/agentic product features including LLM integrations, multi-step agentic workflows, tool-use patterns, RAG pipelines, and intelligent automation

• Design and own secure, scalable services
• Guide technical decisions and evaluate trade-offs including AI-driven components
• Leverage AI tools to accelerate coding, debugging, testing, and prototyping
• Rigorously validate AI outputs to ensure quality and safety

• Design and delivery of secure, scalable, high-performance services and platform capabilities
• Setting technical direction across multiple teams
• Owning complex initiatives end-to-end from problem framing to iteration

• Setting technical direction across teams
• Leading design of secure, scalable MCP hosts and AWS microservices
• Influencing AI adoption through AI first solution design, model guidance, prompt strategy, and built-in governance and monitoring

• Design and own secure, scalable services
• Guide technical decisions and evaluate trade-offs including AI-driven components
• Leverage AI tools to accelerate coding, debugging, testing, and prototyping
• Rigorously validate AI outputs to ensure quality and safety

• Definition and improvement of metrics representing product performance and operations efficiency
• Data collection from multiple sources ensuring accuracy and completeness
• Data cleaning, organization, and transformation into usable formats for analysis

• Setting the technical direction for AI-enabled platform
• Architecting secure, scalable, serverless systems on AWS
• Defining patterns and governance practices for multiple teams
• Guiding AI value addition across the stack
• Mentoring senior engineers
• Leading org-wide design decisions