Cloud engineer állások XII. kerületben (ai és automatizáció)

• AI-Native Infrastructure: Modern, GPU-intenzív AI/ML keretrendszerek szoftveres alapjainak megtervezése és kiépítése.
• Deep Containerization: Komplex Docker image-ek faragása, kifejezetten GPU-kompatibilis, AI workload-specifikus erőforráskezelésre (NVIDIA-docker, CUDA optimalizáció).

• Termékfeltöltés és karbantartás (product listing, SKU kezelés)
• Ár- és ajánlatfrissítések (pricing, kampánykezelés)
• Rendelések nyomon követése, hibák javítása (order management)
• Ügyfélszolgálat technikai támogatása
• Webshop admin felület kezelése, napi működés támogatása

Design, implement, and maintain cloud-native infrastructure on AWS or Azure Manage and optimize Kubernetes clusters and containerized applications Build and maintain Infrastructure as Code using Terraform Deploy and manage applications using Helm Charts Develop automation scripts and tools in...

Architect and implement cloud-native data solutions using GCP (BigQuery, Dataflow, Pub/Sub, Dataproc, Cloud Composer, Cloud Storage) Lead the design and development of complex data pipelines and distributed processing frameworks that ensure scalability, performance, and operational reliability...

Design, code, review, and test assigned features and user stories in alignment with Diligent’s agile development methodology Produce high-level technical design artifacts for major stories Influence the future architecture of the product by defining and refining major components and sub-systems...

C-based application design, development and maintenance in Linux/UNIX environments System-level interface work with POSIX APIs, processes, file systems and sockets Kerberos authentication system development and enhancement Internal implementation maintenance and improvement of open-source...

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 Certek kezelése, AMI updatek és patch folyamat...

Fejlesztés és karbantartás magas rendelkezésre állású, grid alapú kockázat- és szcenáriórendszerek Felhőalapú natív megoldások optimalizálása több szolgáltatónál Teljes fejlesztési életciklusban való részvétel (fejlesztés, tesztelés, telepítés) agilis módszertanok alkalmazásával Szoros...

Kapcsolattartás az ügyfelekkel, igények felmérése és tanácsadás Azure Function App fejlesztés Dokumentálás Programozás Pythonban Azure infrastruktúra tervezés és karbantartás Rendszeres ellenőrzés, frissítés és teljesítmény optimalizálás Azure környezetben Fejlesztések tervezésében aktív részvétel...

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 Advise on appropriate AI use including model concepts, prompt patterns, ethical and privacy...

Setting technical direction across teams Driving AI-native and cloud-native architecture and long-term system evolution Leading design of secure, scalable MCP hosts and AWS microservices Balancing performance, reliability, and cost in system design Influencing AI adoption through AI first solution...

Maintaining and evolving existing data platform Building processes to ingest data from Kafka, APIs and Databases using AWS MSK Connect Development and maintenance of real-time data processing applications using frameworks like Spark Structured Streaming and Kafka Streams Applying transformations to...

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...

Design and delivery of secure, high-performance microservices on AWS Driving architecture decisions and empowering team members through mentorship Setting technical direction across multiple teams Spotting system pain points and proposing improvements Pioneering AI-driven solutions by advising on...

Daily data production and quality assurance for client-facing data products Vendor data integration and management Methodology implementations, historical restatements, and platform migrations Data quality investigation including pricing errors, model performance, and analytical discrepancies...

Design, implement, and optimize machine learning models to solve complex business problems Oversee the entire machine learning lifecycle from data collection and pre-processing to model deployment and monitoring Collaboration with data scientists, software engineers, and product managers to...

Building and optimizing scalable data warehousing and lakehouse solutions Creating and owning robust ELT pipelines connecting multiple internal and external data sources Designing and implementing data models aligned with industry best practices Contributing to architectural decisions with...

Development of novel data extraction tools and workflows Co-lead R&D projects for information extraction from structured, semi-structured, and unstructured data Design, prototype, and evaluate scalable models including LLMs for asset detection, attribute inference, and classification Implementation...

Co-design and implementation of QA workflows using statistical diagnostics, validation rules, and anomaly detection techniques Application of AI/machine learning tools to identify inconsistencies, missing values, or suspicious patterns in large-scale asset datasets Building reusable QA tools in...

Incident and Problem Management including system incident investigation, Root Cause Analysis, and execution of long-term remedial fixes Observability and Metrics definition and enforcement of SLAs, SLOs, and success metrics, and building and maintaining dashboards Performance and Capacity...