Php head ci javascript jquery állások XI. kerületben (it programozás, fejlesztés)

• Designing data pipelines
• Implementing data pipelines
• Testing data pipelines
• Optimizing data pipelines
• Automating data extraction, loading and transformation
• Developing automated data acquisition solutions
• Ensuring compliance with data security standards
• Analyzing data flows and processes

• Az IT termék vagy alkalmazás backlogjának kezelése és priorizálása
• Üzleti és technikai követelmények összegyűjtése és pontosítása
• User story-k, functional specificationök és acceptance criteria-k készítése
• Folyamatos együttműködés fejlesztői és tesztelői csapatokkal

• Development of new applications and services expanding the cloud platform ecosystem
• Coding, testing and frequent deployment embracing modern development practices
• Automation with common automation frameworks to eliminate manual work

• Design of reliable cloud architectures
• Partnership with customers, SRE teams, and internal stakeholders
• Championing automation
• Building reusable Infrastructure as Code templates and utility tools
• Design of secure cloud networks
• Driving customer success
• Operating platforms at scale

• Collaboration within the team and with other teams in the Domain and Deutsche Telekom using agile methodology
• Definition and ownership of target-state GCP network architecture including hub-and-spoke/shared VPC, segmentation, routing domains, ingress/egress patterns

• Implementing and improving business objects for mobile network infrastructure in backend systems up to the API layer
• Developing and maintaining business objects including data models, backend logic, and APIs
• Collaborating with internal stakeholders considering requirements related to external partners

Design, develop, test, document, and deploy high quality Salesforce solutions leveraging the latest capabilities of the Einstein 1 Platform, Lightning Web Components, and modern Apex patterns...

• Build and maintain simulation environments for mobile robotic perception and navigation
• Develop and integrate robotic behaviours and learning pipelines for reinforcement learning and motion planning in complex outdoor environments

Design, build, and maintain large-scale C++ analytics libraries with emphasis on performance, correctness, extensibility, and long-term maintainability in a production environment...

• Design of evaluation framework for scalable LLM-as-a-judge pipelines
• Development of rubrics and datasets including comprehensive grading rubrics and high-quality golden datasets
• Optimization of judge prompts for automated scoring alignment

• Technical expertise and influence across LLVM compiler development for Arm and upstream
• Mentoring engineers inside the LLVM team and in the community
• Representation of Arm in the LLVM ecosystem with leadership of upstream contributions and community direction

• Design and implement observability with centralized monitoring, logging, and alerting strategy for all custom integrations
• Define service level objectives (SLOs) and service level indicators (SLIs) aligned with customer expectations and business impact

Architect, build, and operate scalable inference services, APIs, and backend components for model-driven and LLM-powered product features...

• Új backend alkalmazások és funkciók fejlesztése Java és kapcsolódó technológiák segítségével
• RESTful API-k tervezése és megvalósítása, amelyek hatékonyan kommunikálnak az adatbázisokkal
• A teljes fejlesztési életciklusban való aktív részvétel: tervezés, fejlesztés, tesztelés és telepítés

• 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

• Ownership and delivery of well-defined stories independently with understanding of team architecture, frameworks, and tools
• Active contribution to code reviews, testing practices, and maintenance of service stability

• 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 evolve robust cloud-native services and platforms with end-to-end ownership from ideation and prototyping to deployment, monitoring, and iteration
• Influence technical direction without direct authority by identifying architectural pain points and improving engineering standards

• 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 efficiency and latency optimization

• Magas szintű technikai és üzleti tanácsadás ügyfelek számára az Atlassian termékekkel és saját fejlesztésű megoldásokkal kapcsolatban
• Ügyfelek üzleti és IT folyamatainak felmérése
• Komplex megoldások tervezése, bevezetése és minőségbiztosítása