Python programozó állások, munkák

• Setting technical direction across teams
• Driving AI-native and cloud-native architecture and long-term system evolution
• Leading design of secure, scalable MCP hosts and AWS microservices
• Balancing performance, reliability, and cost in system design

• Translation of AI opportunities into executable technical solution designs
• Definition of integration approaches with IT and business application/data owners
• Implementation of AI use cases using enterprise AI services and LLM APIs

• CI/CD pipeline-ok kialakítása, fejlesztése és karbantartása
• Deployment és release folyamatok automatizálása
• Cloud infrastruktúrák üzemeltetése és optimalizálása
• Konténerizált környezetek kezelése (Docker, Kubernetes/OpenShift)
• Monitoring, logging és alerting rendszerek kialakítása és üzemeltetése

• Development of integrated automated tests
• Creation of automated test reporting and metrics collection
• Transition of testing from manual to automated approach
• Maintenance and refactoring of testcases
• Collaboration and knowledge sharing with QA Team members and Software Developers

Development and enhancement of quantitative financial models Application of advanced technologies to real world financial problems Keeping up to date with the latest technological trends ...

• Software design and test of reference application processor firmware
• Low level software development, test and debug on various platforms
• Creation of software stacks for Arm’s reference platforms for future Arm devices
• Development of test code for software stacks

• Kereskedelmi és ipari szektorban dolgozó ügyfelek digitalizációs problémáit megoldó zöldmezős webes applikációk/mobil app-ok backend-jének fejlesztése
• Részvétel a szoftverek teljes architektúrális tervezésében, kialakításában senior jelölt esetén

• Ensure reliability and uptime of our production systems (Kubernetes, networks, storage)
• Automate infrastructure using Terraform, Ansible, Puppet, etc.
• Operate and evolve monitoring and observability with Prometheus, Grafana, Loki, Cribl.io

• Use formal verification algorithms to formally prove the correctness of complicated logic problems
• Identify key behaviors for verification to write clear testplans for complex designs
• Implement testplans using innovative formal techniques
• Drive tools to realize their best performance

Mastering Apache Spark and Databricks on AWS/Azure Delivering hands-on project work during bi-weekly sprint model Completing complex capstone projects Shadowing senior consultants on real-life engagements Delivering simulated projects Advising stakeholders and navigating requirements Contributing...

• Upgrade and automate existing measurement and test stations for high-volume manufacturing environments.
• Design and implement automation solutions, including pick-and-place systems, precision alignment processes, and automated measurement sequences.

• Funkcionális specifikációk technikai tervezése
• Alkalmazás- és rendszerarchitektúra kialakítása
• Skálázható és karbantartható full-stack fejlesztés: db, backend, frontend, API-k és külső integrációk megvalósítása
• Deploy és üzemeltetés előkészítése (konténerizálás, CI/CD, cloud)

• Integration of IPs and development of logic for subsystems
• Understanding and reviewing subsystem architecture
• Development of microarchitecture specifications
• Review of verification test plans
• Debugging and fixing issues

• Development and optimization of algorithmic trading systems
• Writing clean, high-performance code in C++ or Rust
• Collaboration with engineers and quants to deliver robust, scalable trading infrastructure
• Contribution using Python for scripting or tooling tasks

• Learn how a modern data platform works by helping build and develop the Databricks environment for Procurement
• Learn how to create impactful dashboards by redesigning and improving Power BI reports used in real business decisions

• Development of APIs for electrolysis systems and analysis devices
• Implementation of autonomous process control
• Conceptualization and implementation of degradation models for electrolysis
• Studying performance and degradation of electrolysis in dependence on different operating modes

• Lead the redesign of B2B underwriting models, including scorecards, decision engines, rule sets, and rating methodologies.
• Continuous improvement of underlying data analysis and existing business processes to support our B2B product expansion in new countries.

• Design and implement automation of data platform
• Develop and maintain data platform infrastructure using Terraform
• Implement and manage CI/CD pipelines for automation of data and AI processes and pipelines
• Automate provisioning, configuration, and monitoring of resources in AWS

• Management and support of Linux servers and RedHat container platforms (OpenShift/Kubernetes)
• Automation of deployment pipelines and system configurations
• Troubleshooting and provision of 2nd and 3rd line support
• Monitoring of system performance and capacity

Analyze and identify credit risks in transactions (loans & derivatives) and understand the impact these have on our portfolio and risk appetite, follow up on transaction execution to ensure loans/trades are booked correctly...