Software development engineer állások XI. kerületben középiskolai végzettséggel

• Design, develop, and implement complex and scalable data solutions on the AWS cloud platform
• Design, build, and optimize data pipelines to ensure efficiency and reliability
• Write clean, efficient, and maintainable SQL and Python code
• Develop and maintain shell scripts to support automation

• Fullstack fejlesztés komplex, elosztott logisztikai rendszerben
• Üzleti igények egyeztetése és backlog kezelése
• Backend komponensek tervezése és implementálása
• Frontend komponensek tervezése és implementálása
• Integrációk kialakítása külső rendszerekkel API-first megközelítésben

• Új technológiák bevezetése
• Termékfejlesztési igények implementálása
• Rendszertervezés
• Tesztelés
• Dokumentálás
• Kapcsolódó alkalmazás- és interfészfejlesztésekben való együttműködés a társszervezőkkel
• Minőségbiztosítási feladatok támogatása

• Build And Operate Multi-Cluster Containerized Environments Across Cloud Platforms
• Create End-To-End CI/CD Pipelines For Cloud-Native Applications And Machine Learning Workloads
• Lead Cost-Optimization And FinOps Initiatives For GPU, Storage And Data-Egress Spend

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

Performing tasks related to the position....

• End-to-end implementation of data pipelines and GenAI applications on Databricks
• Design and maintenance of CI/CD, model serving, monitoring, and evaluation frameworks for AI production reliability
• Tuning of complex Spark jobs and LLM inference patterns for performance optimization

• Technical leadership post-sales for strategic customers in big data project design and implementation
• Identification and driving of new initiatives to turn customer data into actionable business value aligned with business goals

• Creation of 3D rigs for different types of objects, animals and characters
• Collaboration with visual effects supervisor and Lead CG to determine best technical and creative approaches
• Delivery of work within established project targets and high quality standards

• Data Science projects delivery with end-to-end product-oriented mindset
• Client engagement to understand business objectives and translate into technical requirements
• Pre-sales technical discussions leadership
• Collaboration with cross-functional teams for AI/ML solution integration

• AWS-based cloud architecture design and technical decision making for SaaS, PaaS, web application, and enterprise cloud environments
• Infrastructure as Code solution design and implementation using Terraform, AWS CloudFormation, or Pulumi

• Ownership of data engineering features, architecture, and code quality
• Design, implementation, and maintenance of Databricks-based data pipelines and workflows
• Building and optimization of ETL/ELT processes using Apache Spark on Databricks

• Definition and development of system-level tests for high-end embedded computing systems
• Automation of test execution and evaluation through scripting in a CI environment
• Increase of test coverage by extending functional examples into comprehensive test suites

• Implementation and maintenance of large-scale data pipelines and the Azure/Databricks data platform
• Collaboration with the Architect in design discussions and proposals
• Building robust, scalable pipelines using Azure Databricks (PySpark / SQL)

• Implementation and ongoing management of outsourced solutions mandates across a broad range of investment structures, strategies, and instruments
• Partnership with senior Solutions Strategists on onboarding bespoke solutions and resolving operational friction during mandate transitions

• Cooperation with software teams to establish and implement quality processes at every stage of the development cycle
• Development of automated test cases for firmware and Linux-based systems including bootloaders, kernel, device drivers and applications

• Contribution to Customer Platform team development
• Delivery of high-quality NodeJS, TypeScript and React code with simplicity, performance, and scalability
• Design and implementation of client and database-related application features

• Co-design and implementation of QA workflows using statistical diagnostics, validation rules, and anomaly detection techniques
• Application of AI/machine learning tools to identify inconsistencies, missing values, or suspicious patterns in large-scale asset datasets

• Design, implement, and evolve platform architecture processes and their integration with connected enterprise systems
• Develop, enhance, and maintain automation modules and frameworks primarily using PowerShell and C#

• Ownership and evolution of Cypress + TypeScript E2E automation framework
• Integration of automated test suites into CI/CD pipelines
• Research and implementation of load and performance testing strategies
• Application of AI-assisted tools for test generation and failure triage