Programozó állások XXIII. kerületben (it programozás, fejlesztés)

• Technical leadership and mentoring of data engineers
• Technical oversight for Databricks solutions
• Design and implementation of scalable ETL/ELT pipelines using Databricks, Python/PySpark, SQL, and Delta Lake

• Build and maintain dataset ingestion, cleaning, and versioning pipelines
• Design and operate labeling workflows including quality control and inter-annotator agreement tracking
• Own dataset testing including coverage analysis, class balance, leakage detection, dataset documentation

• Üzleti igények felmérése, elemzése és dokumentálása, valamint éles környezetben paraméterek beállítása időnként
• Kapcsolattartás az üzleti területek és a fejlesztői csapatok között
• Funkcionális és rendszertervek elkészítése
• Követelmények specifikálása, user story-k és üzleti folyamatok definiálása

• Analysis of business processes and collaboration with stakeholders to identify, assess, and prioritize automation opportunities
• Design, development, testing, and deployment of scalable end-to-end automation solutions using UiPath following industry best practices and enterprise standards

• Develop and maintain Java-based backend applications and services.
• Design and implement REST APIs and backend integrations.
• Develop and integrate Camunda-based business process workflows.
• Build and maintain solutions within a distributed system landscape.

• Resource account igénylése és összekötése namespacekkel
• Resource accountba kerülő komponensek megvalósítása RDS, APIk, S3, MSK, cognito, SES, private link endpoint és endpoint service nonprod és prod környezeteken
• RICE API kapcsolatok kialakítása

• Leading a core modelling team building the foundational CAD engine
• Regular review and challenge of engineering design documents
• Building and mentoring a high-performing engineering team
• Contributing to strategic planning and execution as part of the Engineering Leadership Team

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

• Planning, designing, implementing, and maintaining Rust components and applications
• Building a unified SDK for AI-based features integration into Aether
• Reviewing requirements and contributing to feature design
• Implementing clean, idiomatic, maintainable Rust code

• WordPress alapú és saját fejlesztésű weboldalak fejlesztése és üzemeltetése
• Frontend funkciók tervezése, implementálása és optimalizálása
• Weboldaltervezés
• UX/UI szempontok figyelembevétele az új funkciók tervezése és megvalósítása során
• Analitikai eszközök üzemeltetése

• Ownership of architecture and delivery of production-grade LLM systems and classical ML solutions
• Design, evaluation, and optimization of RAG pipelines including retrieval strategy, chunking, indexing, and monitoring

• Training and fine-tuning models against curated datasets
• Building and maintaining evaluation suites
• Analyzing model failures and translating findings into dataset or training improvements
• Packaging models with documentation, benchmarks, and reproducible evaluation results

• Analysis and research of cloud-native tools and frameworks for Google Cloud Platform solutions
• Support for the T-Systems Public Cloud Product Management Team in building and defining solutions

• Design and implement cloud security controls across AWS, Azure, and GCP
• Build security automation using CI/CD pipelines, Infrastructure as Code, and Policy as Code
• Develop automated compliance checks and remediation workflows

• Design and maintain automated pipelines for legacy .NET deployments and modern containerized/Kubernetes workflows
• Automate provisioning and management of infrastructure using Terraform, Ansible, or Bicep

• Design, deploy, and manage scalable cloud and hybrid infrastructure environments with a primary focus on automation, reliability, and security
• Build and maintain Infrastructure-as-Code solutions using Terraform and other automation tools to provision and manage AWS and on-premises resources

• Writing clean, maintainable Python code and automation scripts
• Building CI/CD pipelines and deployment automation for AI systems
• Creating infrastructure as code and configuration management solutions
• Developing APIs, microservices, and event-driven architectures

• 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

Work directly with clients, product owners, architects, and development teams to understand business and technical requirements and translate them into infrastructure and cloud architecture requirements...

• 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