Php hell ci javascript jquery állások VI. kerületben (projektmenedzsment)

• Making architectural decisions and conducting code reviews,
• Mentoring junior developers and leading the team,
• Designing and building scalable AI data pipelines,
• Developing LLMs (Large Language Models) and AI agent systems,
• Efficiently processing large volumes of data using Python,

• Support for development, quality assurance and product management
• Working closely with team members to ensure successful completion of projects and overall support with all roll-out services
• Enabling continuous improvement by supporting when needed
• Responsibility for vacation planning of direct reports

• Definition and driving of the Quality Engineering strategy
• Design, creation and maintenance of reusable test automation frameworks
• Establishment of testing standards and best practices
• Introduction and improvement of CI/CD quality gates
• Building of E2E, integration and API testing capabilities

Design and develop robust, scalable, and maintainable Python solutions in a modern SaaS environment, contributing to an AI-powered integration platform connecting legacy banking systems with modern digital architectures....

• IT integrációs szolgáltatások kialakítása, módosítása, tesztelése, üzemeltetésre átadása
• Részvétel a rendszerintegrációs feladatok, problémák megoldásában
• Közreműködés a rendszerhibák felderítésében
• Együttműködés az integrációs rendszerszervezőkkel, IA, EA csapattal, illetve külsős fejlesztőkkel

• Support the implementation and ongoing improvement of digital services and solutions for business customers
• Define and maintain development, testing, and operational standards to support continuous delivery
• Design, build, and maintain tools for deployment, monitoring, and operations

• Design, development, and optimization of core ML models, especially in Computer Vision and Deep Learning
• Development of efficient, scalable training and inference pipelines
• Mentoring junior ML engineers, reviewing code and sharing best practices

• Scaling the platform that powers primary support channels including self-service, FAQs, and high-traffic chat interface
• Refining and scaling the support ecosystem leveraging Generative AI engine
• Engineering the logic and user experience connecting customers to AI capabilities

• Planning and overseeing all phases of projects including discovery, development, testing, deployment, and handover
• Managing scope, priorities, milestones, dependencies, resources, quality, timelines, and budgets
• Maintaining clear and timely communication with clients and internal teams

• Design, build, and deliver scalable full stack solutions using Angular, TypeScript, C#/.NET, and AWS
• Own features from concept through deployment, monitoring, support, and continuous improvement

• Design, develop, deploy, monitor, scale, and troubleshoot ML and LLM-based systems that power shared AI services across the platform
• Build secure, high performance microservices and platform components on AWS, owning services end-to-end from implementation through deployment and production monitoring

• Design and own secure, scalable services
• Guide technical decisions and evaluate trade-offs including AI-driven components
• Architect and deliver AI/agentic product features including LLM integrations, multi-step agentic workflows, tool-use patterns, RAG pipelines, and intelligent automation

• Build and evolve CI infrastructure that validates performance methodologies across cloud, on-prem, and hardware targets
• Design controlled, reproducible test environments that help distinguish real regressions from environmental noise when running and profiling targeted workloads

• Ownership of backend services throughout their lifecycle including design, implementation, testing, deployment, operation, and continuous improvement
• Translation of product and business requirements into maintainable technical designs with clear communication of risks and trade-offs

• Leading AI-assisted software engineering activities for Meridian
• Designing repeatable SDLC patterns for analysis, validation, documentation, and evolution of complex cloud software stacks

• Industrialize AI-assisted engineering workflows for Meridian
• Package repeatable patterns supporting codebase intake, dependency extraction, build triage, documentation generation, and technical evidence creation across cloud software work packages

• 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

• Design and own secure, scalable services
• Guide technical decisions and evaluate trade-offs including AI-driven components
• Leverage AI tools to accelerate coding, debugging, testing, and prototyping

• Leading PDO teams in building solutions and data products
• Bridging the gap between business requirements, complex data streams, and actionable AI/analytical solutions
• Managing the full project lifecycle from backlog grooming and agile coordination to technical delivery and operational deployment

• Management of end-to-end software release process including branch management, software version control, release note documentation, and communication with collaborators
• Driving release automation by enhancing CI/CD pipelines and defect logging and tracking for releases