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DevOps Engineer building and maintaining CI/CD pipelines, managing cloud infrastructure across AWS/Azure/GCP, and deploying containerized applications using Docker and Kubernetes with IaC tools.
This is a 12-month contract role for a Senior Fullstack Developer to design and maintain scalable web applications and microservices. The position requires expertise in modern front-end frameworks like React or Angular and back-end technologies such as Java/Spring Boot or .NET/C#, alongside strong DevOps and CI/CD experience.
The Data Engineer will design and maintain scalable data pipelines, warehouses, and lakes while developing backend APIs to support data-driven products. The role involves using cloud platforms, ETL frameworks, and web scraping technologies in an Agile environment.
The developer will build and evolve high-performance backend solutions for the capital markets sector using Java 21, Spring Boot, and AWS. The role involves creating APIs, managing microservices, and ensuring system scalability and observability in a collaborative team environment.
About Mozn MOZN is a leading Enterprise AI company enabling organizations to make informed decisions in two critical domains: Financial Crime Prevention and Enterprise Knowledge Intelligence. We’re a diverse,…
Principal Software Engineer / Architect leading design of scalable distributed systems on AWS and GCP, driving AI-native development practices, and mentoring teams. Core tech includes Java, Python, Kubernetes, Terraform, and major cloud data services.
Java Backend Developer designing, developing, and maintaining scalable server-side applications using Java, Spring Boot, microservices, and cloud platforms for financial services clients.
Database Administrator/Data Engineer responsible for ensuring database stability, performance, and security across cloud and on-premises environments. Works with SQL, Microsoft SQL Server, AWS services, and AI capabilities to support research administration systems.
University, Data Engineer The Opportunity: Ever-expanding technology like IoT, machine learning, and artifi cia l intelligence means that there’s more structured and unstructured data available today than ever before.…
Lab Support Senior Engineer Lab Support Engineering is at the heart of a worldwide lab operations team providing 24x7 lab access, service and solutions support in multiple locations. Independent and flexible, team…
Nexl is looking for a Senior Software Engineer to help build our AI-driven CRM and growth intelligence platform. You'll be technically rigorous and highly autonomous, with a high bar for what you ship and a strong…
Designs and oversees a modern, enterprise-scale data platform for TD’s Global Transaction Banking, focusing on real-time pipelines, AI-ready foundations, and data products. Defines architecture for data ingestion, processing (Spark/Flink), storage, governance, and APIs while ensuring scalability, cost optimization, and regulatory compliance.
Um Legacy-Code brauchst du dich hier nicht zu kümmern. Gemeinsam mit deinem Team startest du from scratch. Gemeinsam baut ihr für unsere Hosting-Verwaltung die Features von morgen. Mit TypeScript, Go oder Node.js sowie…
Full-stack developer building Java (Spring Boot/Cloud) backend services and Angular/Flutter frontends in a microservices/Kubernetes environment, using AI-assisted development practices from day one.
Data Engineer building and managing data pipelines, data governance, and a future-proof data platform for HDN's mortgage data network, using Python, SQL, MongoDB, ETL tools, Docker, and RESTful APIs.
JOB ROLES: • Collaborate with small, rotating, interdisciplinary teams consisting of game designers, mathematicians, audio engineers, artists, and developers to produce web tools to assist with game design and…
AGAP2 Italia cerca un Full Stack Developer .NET da inserire in un progetto strutturato e di lungo periodo, con sviluppo di piattaforme enterprise in ambito economico-finanziario, on site a Roma. Il candidato ideale ha…
Data Engineer internship at BearingPoint's Products Data Factory, building and maintaining automated data pipelines (Airflow/Astronomer) for SaaS products on AWS and Azure, integrating structured and unstructured data sources in collaboration with Data Scientists.
Designs and leads secure, scalable software systems for U.S. federal agencies, focusing on analytics, machine learning, and mission-critical decision support using modern full-stack technologies.
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