Tech jobs
Job listings
Java with Big Data architect
Design and build a scalable, self-service data platform using Java Spring Boot, Spark, Kafka, and Kubernetes, while leading the team and ensuring observability with Grafana.
Senior Data Platform Engineer - longueuil
Build and maintain scalable data pipelines in Microsoft Fabric using Python, Spark, and medallion architecture to support analytics and AI workloads.
[포토이즘] Backend Engineer
Builds and maintains scalable backend systems for a photo-tech platform, including RESTful APIs, databases, and AI-driven recommendation services to connect offline devices and online users.
Backend Engineer(고객여정플랫폼)
Builds and owns the end-to-end customer-journey pipeline: mobile SDK → Kafka → Databricks Bronze, plus event servers, auth middleware, A/B testing and MMP attribution for a Korean securities app.
Data Engineer
Designs and maintains scalable data pipelines, architectures (ETL/ELT, data lakes/warehouses), and automated workflows using Python, SQL, Spark, Kafka, and cloud platforms (AWS/GCP/Azure) to power clients’ open-source projects while ensuring security, governance, and performance.
Python Software Engineer (Junior / Fresher) - Việc làm HOT
Build backend services and data pipelines for a research and trading platform using Python, while leveraging AI tools to accelerate development and maintain clean, scalable code.
Senior/Lead GCP Data Engineer
Build and optimize cloud-native data pipelines on GCP to power AI, ML, and analytics products used by millions of banking customers.
Senior Full Stack Developer
Build and optimize scalable backend services using Node.js, Go, and microservices with Kafka, Elasticsearch, and gRPC for NewMind AI’s AI-driven corporate governance platforms.
Senior Full-Stack Engineer: Real-Time Microservices
Senior Full-Stack Engineer building real-time microservices with Node.js, TypeScript, Go, Kafka, and MongoDB to power AI-driven backend systems.
Software Data Engineer (AWS)
Build and maintain cloud-native data pipelines on AWS, ingesting manufacturing data via Kafka and transforming it into a lakehouse for analytics and ML workloads.
Remote Databricks Cloud Data Engineer
Design and build scalable cloud data pipelines on Azure, AWS, GCP and on-prem using Databricks, Spark, Kafka and DevOps tooling.
Martech Data Engineer
Builds and optimizes cloud-based marketing data pipelines on Google Cloud, transforming raw data into clean, structured datasets for analytics, BI, and ML models.
DATA ENGINEER
Build and maintain large-scale data pipelines and scalable data architectures using Python, Spark, and cloud platforms like AWS/GCP/Azure.
FULL STACK DEVELOPER
Build and maintain insurance core systems using Java, microservices, and cloud infrastructure while collaborating in an Agile environment.
Backend Java Developer | Full Remote | Emilia-Romagna
Backend Java developer building scalable microservices with Quarkus, REST APIs, and cloud-native tools, while integrating AI into the development workflow.
Lead Software Developer - Backend
Lead Back-End Developer building and scaling the core services of a fintech spend-management platform using Java, Spring, microservices, and AWS in an Agile team.
Senior Backend Developer - Distributed Systems
Designs and maintains backend components for defense and cybersecurity projects in Rome, using Java, Kafka, and Elasticsearch while mentoring junior engineers.
Backend Developer (C++ / Python / Node.js)
Builds scalable backend services in C++, Node.js, or Python for global clients, focusing on high-performance, event-driven systems and cloud-native deployment.
Data Warehouse Engineer Graduate (Data Platform, TikTok LIVE) - 2027 Start Singapore Regular Bachelor/Master Graduate - 2027 Start
Build and maintain large-scale data warehouses and pipelines for TikTok LIVE, processing billions of records daily using SQL, Python, and big data tools like Spark and Kafka.
Big Data Site Reliability Engineer - Computer Platform
Maintain and automate operations for ByteDance’s high-performance analytical database, ensuring stability and scalability for PB-level data workloads.