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• Building, operating, and improving production data pipelines using Python, Airflow, Kubernetes, and related technologies
• Designing scalable data pipelines and data models for growing data volumes and processing needs

• Writing and maintaining clean, high-quality, and efficient code that aligns with project specifications, using AI tools daily to accelerate delivery
• Executing comprehensive testing and seamless deployment of programs and systems

• Developing, customizing, and maintaining ServiceNow applications, modules, and integrations
• Collaborating with cross-functional teams to understand business requirements and translate them into technical solutions

Designing, building, reviewing, testing, and maintaining Ruby on Rails features and services in line with Diligent’s agile engineering practices...

• Üzleti alkalmazások fejlesztése frontend- és backend-oldalon egyaránt
• Fejlesztési feladatok szakmai vezetése és megvalósítása
• Új technológiai megoldások és fejlesztési javaslatok beépítése különböző rendszerekbe
• Meglévő fejlesztések támogatása, hibák felderítése és javítása

Adatfolyamok (pipelines) tervezése és fejlesztése: Robusztus, skálázható és biztonságos batch (kötegelt) és real-time (valós idejű) ETL/ELT folyamatok fejlesztése...

• Architecting cloud-native AI applications, integrating LLMs, vector search, and real-time data
• Designing end-to-end web solutions from frontend to backend
• Implementing RAG pipelines, model serving, and AI agents in production
• Leading cross-functional teams (Full-stack, AI, Data)

• Active partnership with sales and project managers to estimate, design, develop and deliver solutions
• Continuous communication with domain experts and product owners to understand core business needs and goals to synthesize requirement and quality standards

• Identify and eliminate hot-path bottlenecks: profile p99.9 tail latency on Linux using perf and flame graphs, and translate findings into concrete code changes.
• Design and implement lock-free concurrency models (SPSC/MPMC ring buffers, atomic memory ordering, cache-line alignment).

• Building and growing innovative insurance applications used daily by thousands of users.
• Developing new features collaboratively with product managers and quality assurance in an agile environment.

Új projektek DevOps-, infrastruktúra- és platformoldali támogatásának végzése a fejlesztési és üzemeltetési követelmények egyeztetésétől az éles bevezetésig...

• Evaluate, configure, and maintain the AI development tool stack (GitHub Copilot, custom agents, local LLMs).
• Standardise how AI agents interact and integrate with our internal tools, services, and development workflows with MCP.

• Aktív részvétel a tervezésben, a specifikációk finomításában
• Fejlesztési feladatok megvalósítása
• Code review
• Automatikus tesztelés
• CI/CD folyamatok karbantartása (GitLab)
• Monitorozás és riasztások kezelése
• Az alkalmazás karbantartása Kubernetes környezetben
• Junior fejlesztők mentorálása

Process streamlining and automation: Leverage your programming expertise and AI knowledge to enhance internal systems, automate processes for Compliance and CLI and add some AI into the Departments’ day to day work....

Providing technical leadership post-sales to guide strategic customers in designing and implementing big data projects, from architectural design to data engineering and model deployment...

• Leading the design, development, testing, and deployment of enterprise software solutions
• Driving the full software development lifecycle, from requirements gathering to production support
• Building and enhancing automated testing frameworks to improve software quality and release speed

Design and build a new generation of C++23 backend services that orchestrate the full detector acquisition lifecycle (configuration, arming, triggering, streaming, teardown). You'll analyse an existing product to define the architecture, deciding what to carry forward, what to redesign, and where...

• 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

Planning, implementation, development and testing of HW/ SW components for the company backbone and data center networks (Layer 2&3 networks interconnects company datacenters & cloud instances inside company as well as external partner/client networks)...

• Lead and mentor a distributed US team of 13 engineers across AI/ML, cloud backend, frontend, and DevOps.
• Conduct regular 1:1s, manage performance, support career development, and foster a high-trust, continuous-learning team culture.