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Senior Full-Stack Software Engineer - Global AI Platform
Builds and maintains a cloud-native AI platform using Akka, Scala/Java, and MLOps to power enterprise-grade AI and agent solutions with continuous learning, governance, and high performance.
Senior full-stack software engineer - global ai platform
Build and maintain a global AI platform using Scala/Java (Akka), Python, Kubernetes, and cloud-native tools to power scalable, secure agent systems and ML workflows for a financial-services company.
Ingénieur en machine learning/Machine Learning Engineer, ProServe Shared Delivery Team - Data & AI
Build and deploy end-to-end AI/ML and GenAI solutions on AWS for enterprise clients, designing scalable pipelines and advising on cloud architectures.
Full-Stack Software Developer
Builds and maintains a cloud-based analytics platform for power-grid asset management using TypeScript, Angular, Java/Kotlin, and Spring Boot.
Data Engineer - Team Data
Designs and maintains ETL/ELT pipelines in Python and Spark/Scala to transform healthcare data into reliable datasets for SaaS products, using FastAPI, Airflow, dbt, and AWS with AI-assisted development.
Data Team - Data Engineer (M/F)
Designs and operates ETL/ELT pipelines in Python and Spark/Scala to transform healthcare data into reliable datasets for SaaS products, using FastAPI, Airflow, dbt, and AWS with AI-assisted development.
Senior Backend Lead Engineer (Go/Java, AWS)
Lead backend engineering for distributed microservices in Go/Java on AWS, mentoring engineers and delivering cloud solutions for a fintech product serving millions.
Senior Software Engineer - Backend
Build and scale Databricks' backend infrastructure, including serverless platforms, cloud OS, and ML tooling, using Java/Scala/Go in a multi-cloud SaaS environment.
Senior Backend Engineer - Cloud and Microservices Lead
Leads backend cloud and microservices projects, building scalable messaging platforms in Java, Python, Go, or Scala with Docker, Kubernetes, and major cloud providers.
Lead Backend Engineer, Enterprise Platforms
Lead a team of engineers to build and scale distributed microservices using Java, Python, Go, and AWS tools for a cybersecurity-focused enterprise platform.
Senior Backend Engineer & Tech Lead, Cloud
Leads backend microservices and cloud systems in Java/Python/Go/Scala on AWS, mentors engineers, and builds scalable solutions for millions of customers.
Senior Go Backend Engineer on AWS Microservices
Builds and maintains Go-based microservices on AWS for Capital One’s decisioning systems, using Docker/Kubernetes and collaborating with product managers.
Lead Full Stack Android Engineer:
Lead a full-stack Android team to architect and ship scalable campaign tools, dashboards, and APIs that power a real-time mobile ad marketplace, optimizing for low-latency and massive throughput.
Senior Lead Software Engineer, Back End (Golang, Java, AWS)
Lead backend engineering teams building cloud-native microservices in Java/Go on AWS to meet regulatory and customer needs in financial services.
Data Engineer
Build and maintain scalable ETL pipelines and data marts using Scala/PySpark, Hadoop, Kafka, and Azure Databricks to power Amadeus’s travel-tech infrastructure.
Senior Backend Engineer
Build and scale backend systems in Python/Django to power Preply’s global marketplace connecting 100,000+ tutors with learners in 180+ countries.
Senior Data Engineer - Chazo - $500 - $550 A Day - Remote
Senior Data Engineer builds and migrates Scala/Spark pipelines from GCP to AWS, using Airflow and Kubernetes to ensure data quality and performance for a business-critical platform.
Data Engineer - €40.000 - €47.000 Al Año - Remoto
Builds and optimizes big-data pipelines using Hadoop, Spark, and cloud-native tools (AWS/EMR, GCP/Dataproc) with Java/Python/Scala and complex SQL.
Senior Data Engineer - $500 - $550 A Day - Remote
Senior Data Engineer to migrate and optimize a Scala/Spark-based data platform from GCP to AWS, using Airflow and Kubernetes.
Data Engineer - €35.000 - €50.000 A Year - Remote
Designs and builds scalable data pipelines and warehouses on AWS (S3, Glue, Athena, EMR, Lambda) using Spark/Scala, Python, and SQL.