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Data Engineer Intern
Build and optimize data pipelines for gaming analytics, processing real-time and batch streams with Python/Java/Go and SQL.
Data Engineering
Build and maintain scalable data platforms using Python, Spark, Kafka, and cloud-native tools, then embed with partner orgs to deploy ML models and analytics in production.
Data Engineer
Build and optimize a global data platform serving tens of millions using Python, Airflow, Kafka, and Kubernetes to improve performance, cost, and data quality.
Data Engineer
Build cloud-native data infrastructure that powers AI/ML features for a cybersecurity product, designing scalable pipelines and ensuring reliable data flows from source to model.
Staff Software Engineer - Backend
Build and scale backend infrastructure for a data and AI platform, focusing on distributed systems, cloud storage backends, and scalable services using Scala/Java.
Senior Software Engineer - Backend
Build and scale backend infrastructure for Databricks’ data and AI platform, working on distributed systems, cloud storage backends, and scalable services in Scala/Java.
Staff Software Engineer - Backend
Build and scale Databricks’ backend infrastructure and services, including distributed systems, Kubernetes, and data pipelines, to support millions of cluster-hours daily.
Senior Backend Engineer - Scalable Data Infrastructure
Build and scale backend services and infrastructure for Databricks' data and AI platform, working with distributed systems, cloud storage, and Kubernetes to support millions of cluster-hours daily.
AI Backend Software Engineer II - AI Application Platform
Build and scale the backend platform that powers AI-driven travel experiences, integrating ML models and vector search for real-time personalization at global scale.
Senior Backend Developer (File Processing) - Relocation to Cyprus
Senior Backend Developer to migrate and modernize payment file-processing pipelines from Perl to Python, orchestrating Visa/Mastercard clearing files with Airflow/CloudWatch and AWS services.
Senior Full-Stack AI Engineer (LLMs & Agentic Systems)
Build production-grade AI systems using LLMs and agentic architectures, splitting time between internal automation tools and client-facing AI solutions in Python/Go/TypeScript.
Founding Software Engineer, Full Stack
Build and maintain the full-stack infrastructure that connects AI agents to user data, including search pipelines, sync engines, and developer-facing APIs using Python, TypeScript, and React.
Cloud-Native Python Developer - Data Pipelines & Ownership
Build and own scalable Python data pipelines in a cloud-native stack, focusing on reliability, performance, and infrastructure-as-code for data workflows.
Python Developer I Amsterdam
Build and optimize scalable Python pipelines and cloud-native data workflows; own development from code to production in a modern data platform.
Software Developer Sr
Senior full-stack engineer building and scaling Dayforce’s Workflow platform, a rule-based orchestration engine for global HCM, with AI-enabled automation and extensible APIs.
RQ00731 - Software Developer - Full Stack - Senior
Senior full-stack developer building React frontends and Java/Spring Boot backends for a healthcare virtual-care platform, integrating video APIs (Zoom, Pexip), HL7v2/FHIR workflows, and enterprise IAM.
Member of Technical Staff - Backend Software Engineer
Backend engineer at a GenAI startup building scalable Go/Python systems for AI-powered avatar and video generation, serving millions of creators.
Backend Software Engineer (Python)
Build and optimize event-driven, distributed Python systems on AWS to extract and enrich metadata from large-scale content datasets, integrating ML/LLM components for Scribd’s media platforms.
Full Stack Developer (GWO)
Build full-stack web apps and AI-powered tools using React, Python, and LangChain/LangGraph, integrating RAG workflows and LLM APIs in a regulated bank’s analytics team.
Senior / Staff Backend Engineer – Core Platform
Architect and build scalable backend services and APIs in AWS to ingest and process high-volume IoT/sensor data for enterprise clients.