Python programozó állások, munkák

• Data pipeline development
• Data integration
• Data warehousing
• Data modelling
• Data quality and governance
• Performance optimization
• Collaboration with data scientists and analysts
• Technology selection
• Security and compliance
• Monitoring and troubleshooting

• Work as part of an interdisciplinary team of advisors and engineers alongside other experts to support delivery of T&D infrastructure projects.
• Contribute to, and lead, the design of HVAC and/or HVDC packages trough all design stages from concept to construction and hand-over.

• Build agent loops and orchestration: tool use, structured outputs, business-rule enforcement, graceful failure
• Build the integration layer (via MCP) that lets agents securely call backend systems and business APIs
• Render model output into live, streamed, accessible UI via generative-UI protocols

• Build agent loops and orchestration: tool use, structured outputs, business-rule enforcement, graceful failure
• Build the integration layer (via MCP) that lets agents securely call backend systems and business APIs
• Render model output into live, streamed, accessible UI via generative-UI protocols

• Monitoring platform and resolving issues reported by monitoring application
• Maintaining availability, integrity and confidentiality of security platforms
• Upgrading, remediating and patching underlying operating systems
• Writing and updating knowledgebase articles

• Build and maintain scalable, reliable, and secure environment on AWS using Infrastructure as Code tools
• Oversee the deployment, configuration and management of clusters
• CI/CD pipeline development with designing and managing CI/CD pipelines, Infrastructure as Code, and GitOps toolset and skillset

• End-to-end penetration testing engagements across web applications, APIs, cloud environments, binary applications and internal/external infrastructure
• Simulation of real-world attacks to identify security risks

• Build and maintain scalable cloud infrastructures using modern services and best practices
• Proactive detection, analysis, and fixing of vulnerabilities and performance bottlenecks in cloud environments

• Design and implement modern data architectures and lakehouse solutions
• Provide technical leadership throughout the project lifecycle
• Collaborate with business stakeholders
• Create effort estimations
• Provide technical expertise during the pre-sales phase
• Mentor 3-6 person project teams

• Daily operational activities including handling service requests and troubleshooting complex network issues
• Design and optimization of corporate firewall architecture focusing on security, scalability, and high availability
• Continuous improvement of network security infrastructure and processes

• Leading, mentoring, and empowering a team of ML engineers
• Owning model quality end-to-end from experimentation to production-ready artifact
• Conducting regular 1-on-1s for career development and feedback
• Removing blockers and ensuring team well-being

• Építés agentic rendszerek
• Munkavégzés Solution Architect-ekkel és LLMOps-szal
• Fejlesztés megbízható és folyamatosan javuló rendszerek
• Kivitelezés agent munkafolyamatok LangGraph / LangChain / PydanticAI / CrewAI használatával
• Integráció eszközök és adatok biztonságos kezelése

• Build and contribute to cloud-native software applications and developer tooling.
• Explore modern technologies across artificial intelligence, AI agents, mobile development, and cloud platforms.
• Automate development workflows to make software and product development faster, simpler, and more reliable.

• Architect and implement scalable AI/ML solutions on Azure or GCP
• Design and build AI solutions for sales use cases such as automated RFP/RFI ingestion, classification, and response generation
• Design and build AI solutions for intelligent document understanding

• Design and build secure infrastructure foundation for AI-assisted software development
• Operate Kubernetes environments hosting AI engineering tools and services
• Implement GitOps and Infrastructure as Code patterns for provisioning and configuration

• Architect and implement scalable AI/ML solutions on Azure or GCP
• Design and build AI solutions for sales use cases such as automated RFP/RFI ingestion, classification, and response generation
• Design and build AI solutions for intelligent document understanding

• Designing and delivering engineering solutions for our businesses and customers
• Enhancing our infrastructure capabilities and functions with new and fresh ideas
• Performing and improving QA and Test Automation frameworks

· Proprietary MCX Solution and Platform Maintenance · Linux Server Administration · IP Network Analysis and troubleshooting · Analyze SIP signaling and resolve incidents related to VoIP services. · System Monitoring and Log Collection and Analysis · Customer technical support and issues management...

Lead the strategic development and continuous optimization of data management processes for one of Germany's largest population-based cohort studies...

• Plan and participate in marine field campaigns in the Baltic Sea and the northern Adriatic Sea
• Detect and characterise submarine groundwater discharge using hydroacoustic, geochemical and environmental observations