Phd helit ci javascript jquery állások XI. kerületben (programozó, fejlesztő)

• Develop, design and maintain backend services for mobile applications using Java and Spring Boot.
• Implement and evolve RESTful APIs ensuring scalability, reliability, and security.

• Design, build, review, test, and maintain Ruby on Rails features and services in line with Diligent’s agile engineering practices
• Own technical delivery for projects, epics, and major user stories, including solution design, implementation planning, and execution through to production

• Development and customization of Microsoft Dynamics 365 applications using C#/.NET and Power Platform tools
• Building integrations between Dynamics 365 and Azure services such as Logic Apps and Functions

• Felhasználóbarát, reszponzív webes felületek fejlesztése (React vagy Vue/Nuxt előny)
• RESTful API-k fejlesztése és integrálása backend rendszerekhez
• Együttműködés a UI/UX csapattal és a backend fejlesztőkkel
• Kódminőség biztosítása: kód review, unit/integration tesztek, clean code elvek követése

• Design end-to-end cloud solutions supporting digital products and business initiatives.
• Translate business requirements into scalable, secure, and cost-efficient architectures.
• Drive cloud adoption, modernization, and architecture best practices across the Digital Factory.

• Develop and maintain scalable web applications using Angular or React
• Build and optimize RESTful APIs and microservices using Node.js, Python or .NET
• Define and manage cloud infrastructure using Infrastructure as Code, such as Terraform or OpenTofu

• Leading and growing multiple agile engineering teams
• Defining and owning the technical roadmap with stakeholders
• Championing responsible use of AI and automation
• Aligning technical strategy with business goals
• Mentoring and coaching engineers at all levels

• Real-time decision making with machine learning for risk assessments
• Ownership of risk infrastructure for Instant ACH in the US market
• Cross-functional collaboration with software engineers, data analysts, and data scientists

• Leading a team of 2-3 AI and cloud engineers focused on fast prototyping of AI/ML solutions in AWS cloud
• Providing mentoring and technical support to junior and medium teammates
• Acting as a trusted advisor to clients

• Lead and cultivate engineering talent
• Provide hands-on technical leadership
• Own and drive the technical vision
• Master stakeholder relationships
• Champion Agile and technical excellence

• Design and implement core authentication and authorization including POST /auth/token endpoint, JWT validation middleware, and entitlement enforcement layer
• Build and maintain entitlement decision cache with invalidation on entitlement changes

• Chunking and ingestion architecture with deterministic, validation-gated pipelines handling diverse enterprise document types with indexing and contextual enrichment
• Retrieval pipeline with vector search, BM25 hybrid retrieval, RRF re-ranking, embedding model selection and optimisation

nagyvállalati, saját fejlesztésű üzleti folyamattámogató alkalmazásunkra vonatkozó üzleti igények részletes megismerése, egyeztetése az üzleti felelősökkel...

• Design, build, and maintain CI/CD pipelines
• Embed observability, automation, and reliability practices early in the development lifecycle
• Drive initiatives around Infrastructure as Code (IaC) using tools like Terraform and Kubernetes manifests

Development and enhancement of the MSCI Index Development Platform and the IndexMetrics Real-Time application using modern software engineering practices, Python, Azure, and AI-assisted development tools...

• Design, implement, and manage Azure cloud infrastructure to support Databricks and data platform workloads
• Build and maintain Azure resources including Resource Groups, VNets, Key Vaults, Storage Accounts, and Azure Active Directory (AAD) integrations

• Design and build scalable, reusable frameworks and services for data ingestion, transformation, and processing
• Develop and maintain the platform’s core capabilities such as orchestration, data quality validation, and schema management tools

• Designing .NET applications for various platforms
• Implementing .NET applications for various platforms
• Testing .NET applications for various platforms
• Understanding the business domain
• Challenging software requirements in the assigned scope of work
• Acting as a team player

• Identification of highest-leverage AI opportunities in the developer workflow
• Building and maintaining the internal agentic AI platform engineers rely on daily
• Ownership of foundational architecture and standards for agent and model release evaluation and deployment

• Meglévő Android alkalmazás accessibility hibáinak javítása
• Az alkalmazás további accessibility problémáinak önálló felkutatása és javítása