P2p hell ci javascript jquery állások XIV. kerületben (it programozás, fejlesztés)

• CI/CD-folyamatok tervezése, felépítése és üzemeltetése (Azure DevOps, GitLab CI, GitHub Actions vagy Jenkins)
• Infrastruktúra kezelése kód formájában (Terraform, Bicep/ARM, Ansible)
• Konténeres környezetek felépítése és üzemeltetése (Docker, Kubernetes / AKS)

• Build, operate, and improve production data pipelines using Python, Airflow, Kubernetes, and related technologies
• Design scalable data pipelines and data models for growing data volumes and processing needs

• 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

• Implementation and maintenance of large-scale data pipelines and the Azure/Databricks data platform
• Building robust, scalable pipelines using Azure Databricks (PySpark / SQL)
• Design and enforcement of data architecture standards including Delta Lake / Lakehouse architecture and data modeling

• Writing and maintaining clean, high-quality, and efficient code aligning with project specifications using AI tools daily to accelerate delivery
• Executing comprehensive testing and seamless deployment of programs and systems

• 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

• Development, customization, and maintenance of ServiceNow applications, modules, and integrations
• Collaboration with cross-functional teams to understand business requirements and translate them into technical solutions

• 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

• Designing and building AWS infrastructure and landing zones
• Defining AWS infrastructure using Terraform or OpenTofu with Terragrunt, or AWS CloudFormation
• Building CI/CD pipelines
• Leading migrations of customer workloads from on-premises, GCP, Azure, or Heroku to AWS

• Architecting complex AWS infrastructures and zero-day compliant landing zones
• Understanding customers’ business problems and providing technology consulting to identify the best-fit solution
• Owning the end-to-end solution as a key decision-maker and driving the delivery team

• In-depth assessments with clients to understand business and technical needs
• Analysis of client requirements and proposal of feasible technical solutions
• Identification of client challenges and goals with recommendation of effective solutions

• Technical management of a team of 2-3 AI and cloud engineers focused on fast prototyping of AI/ML solutions in AWS cloud
• Mentoring and technical support to junior and medium teammates
• Acting as a trusted advisor to clients
• Development of highly scalable services realizing AI/ML functionalities

• Odoo-modulok fejlesztése és testreszabása Python 3, XML, HTML használatával
• Backend-szolgáltatások fejlesztése Java/Spring és Hibernate segítségével
• Külső rendszerek összekapcsolása REST- és XML-RPC-API-k segítségével
• Eseményalapú integráció az Apache Kafka segítségével

Shaping AWS architectures and technical decisions for web applications, SaaS platforms and enterprise environments...

• Identification of highest-leverage AI opportunities in the developer workflow
• Ownership of foundational architecture and standards for agent modeling and internal tool evaluation and deployment
• Building and improving onboarding, documentation, and discovery layers for engineers

• Partnering with engineering teams to automate and optimize service availability, scalability, performance, monitoring, and alerting
• Developing software to automate the toil required to keep SaaS offerings highly available, scalable, and resilient

• Building and maintaining simulation environments for mobile robotic perception and navigation
• Developing and integrating robotic behaviours and learning pipelines for reinforcement learning and motion planning in complex outdoor environments

• Adatfolyamok tervezése és fejlesztése robusztus, skálázható és biztonságos batch és real-time ETL/ELT folyamatok fejlesztésével
• Adatmodellezés telekommunikációs adatmodellek, adattárházak és adattavak logikai és fizikai tervezésével, struktúrájának kialakításával

• Development, testing, and continuous improvement of cloud-native CaaS and PaaS capabilities primarily using Go
• Contribution to Kubernetes operators and controllers that automate cluster and platform lifecycle processes