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AI Engineer (Agentic Systems)
Build and deploy LLM-backed AI agents for banks and hedge funds, integrating cloud and on-prem models, tool use, and retrieval systems to solve client problems.
Research Data Engineer
Build and optimize data pipelines for health-disparities research, maintaining a large relational database in Azure and automating ETL workflows with Python/R and SQL.
Senior Security Research, DataOps (Remote)
Senior Security Researcher builds AI-powered automation to collect and analyze dark-web data, maintaining scalable collection infrastructure and responding to cyber threats for CrowdStrike’s customers.
Quality Assurance Consultant (f/m/d) German speaker
Build and maintain automated test suites (Playwright, Selenium) and advise clients on quality strategies; integrate testing into CI/CD pipelines and leverage AI tools to accelerate QA workflows.
Senior Principal Software Engineer (12+ years)
Build and lead enterprise SaaS features for intelligent manufacturing platforms using full-stack development, cloud-native microservices, and AI-driven solutions.
Experienced Data Engineer - Innovation and Consumers, Aarhus or Gdansk
Build and maintain data pipelines and AI-driven analytics on Arla’s Azure Databricks lakehouse using PySpark, SQL, and Terraform to deliver business insights and scalable data products.
Principal Software Engineer (8-12 years)
Build and lead enterprise-scale SaaS features for intelligent manufacturing platforms using cloud-native microservices, REST APIs, and modern full-stack stacks like Java/Node.js/Python.
Senior Software Engineer (5 to 8 years)
Build and lead cloud-native enterprise SaaS features for manufacturers, using microservices, AI-driven modules, and full-stack development to power intelligent supply-chain platforms.
Junior Regulatory Project Manager
Manages US drug labeling projects, ensuring FDA-compliant prescribing information and XML submissions while coordinating with cross-functional teams.
Technical Project Manager
Leads multi-stream data and AI projects for clients in consumer goods, finance, and energy, ensuring delivery via structured project plans and governance while managing stakeholders and budgets.
Senior AI-Powered Cybersecurity Resilience Engineer
Build AI-driven cybersecurity tools for a global financial client: automate vulnerability patching, enhance observability with Splunk, and integrate AI into CI/CD pipelines using Python, FastAPI, and Ansible.
#126292 - Data Engineer
Design and maintain cloud data pipelines and datasets to track cloud costs, usage, and performance for engineering and finance teams using AWS, Snowflake, Python, and SQL.
AI Technical Writer
You build and validate AI-generated technical documentation for TEKEVER’s AR5 autonomous systems, ensuring compliance with aerospace and defence standards while enabling engineers to produce release-quality docs directly from their work.
Software Engineer
Build and maintain scalable payment-processing back-end systems using Java/Spring Boot, Python/Django, and GCP, focusing on reliability, performance, and automation.
Software Engineer
Build and maintain PayPal’s payment platforms using Ruby on Rails, Java, or Clojure, designing scalable APIs and cloud services on AWS.
Staff Software Engineer
Build and maintain large-scale ETL pipelines and data-processing workflows to compute key metrics and ensure system reliability for PayPal’s global payments platform.
Data Scientist
Build and deploy real-time fraud-detection models for PayPal’s global payments platform using Python, SQL, and ML frameworks to analyze transaction data and reduce losses.
Software Engineer
Senior Software Engineer at PayPal designing and building large-scale automated testing frameworks for payments systems using Java, Selenium, and CI/CD pipelines.
Software Engineer
Build and maintain Android apps in Java/Kotlin using Jetpack, MVVM, and REST APIs; write tests with Espresso/Robolectric and collaborate in Agile teams.
Senior Data Architect
Design and evolve a modern cloud data platform using Snowflake, dbt, Python, Airflow, and AWS to connect business systems, enable analytics, and prepare for AI/ML use cases.