Senior engineer állások XXIII. kerületben középiskolai végzettséggel

Setup and maintenance of IT cloud infrastructure for multiple products Setup and maintenance of the Automated build/deployment jobs Maintenance of various support tools and utilities Monitoring application performance and resource planning Coordination with development and user teams to assess...

Designing applications to meet business process and application requirements Building applications to meet business process and application requirements Configuring applications to meet business process and application requirements Subject matter expertise in software engineering Collaboration and...

Software design and test of reference application processor firmware Low level software development, test and debug on various platforms Creation of software stacks for Arm’s reference platforms for future Arm devices Development of test code for software stacks Creation of automation solutions to...

Implementation and maintenance of large-scale data pipelines and the Azure/Databricks data platform Collaboration with the Architect in design discussions and proposals Building robust, scalable pipelines using Azure Databricks (PySpark / SQL) Integration of data ingestion, processing,...

Design Azure cloud infrastructure to support Databricks and data platform workloads Implement Azure cloud infrastructure to support Databricks and data platform workloads Manage Azure cloud infrastructure to support Databricks and data platform workloads Build Azure resources including Resource...

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 Agent...

Design, develop, deploy, monitor, scale, and troubleshoot ML and LLM-based systems Build automated AI testing and evaluation frameworks Collaborate with Applied Scientists and Software Engineers to implement and productize AI-based capabilities Shape and develop the teams AI platform infrastructure...

Cooperation with software teams to establish and implement quality processes at every stage of the development cycle Development of automated test cases for firmware and Linux-based systems including bootloaders, kernel, device drivers and applications Driving improvement at every step of the...

Build and evolve CI infrastructure validating performance methodologies across cloud, on-prem, and hardware targets Design controlled, reproducible test environments to distinguish real regressions from environmental noise Build synthetic workloads and targeted microbenchmarks including Arm...

Setting the technical direction for AI-enabled platform Architecting secure, scalable, serverless systems on AWS Defining patterns and governance practices for multiple teams Guiding AI value addition across the stack Mentoring senior engineers Leading org-wide design decisions Writing code with...

Delivery on complex data engineering projects across industries Leading small delivery teams Managing customer relationships alone or with a Project Manager Mentoring more junior engineers Evaluating quality of junior engineers' work Contributing to hiring best-in-class data engineers...

Ownership of data engineering features, architecture, and code quality Design, implementation, and maintenance of Databricks-based data pipelines and workflows Building and optimization of ETL/ELT processes using Apache Spark on Databricks Design and management of data lakes and Lakehouse...