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Hire Full-Stack Developer
Full-stack developer placed on client teams by an outstaffing firm, taking features end-to-end from database schema through API to React/TypeScript frontend, with testing and deployment via Docker and CI/CD.
Job: Software Developer (Applied AI)
The Software Developer (Applied AI) designs, builds, and deploys LLM-integrated applications and agentic AI tools to automate workflows and support internal departments. The role requires strong Python expertise, experience with containerization, and the ability to architect scalable systems.
Senior Data Engineer
Designs and maintains real-time/batch data pipelines for logistics, inventory, and warehouse ops in Too Good To Go’s Parcels business, embedded with product/tech teams to enable direct-to-consumer food delivery.
Senior Java Developer
Senior Java Developer maintaining and enhancing enterprise Java applications in Securities Operations IT, working with Java, Hibernate, and SQL while supporting cloud transformation and production operations.
Principal Software Engineer
Principal Software Engineer architecting and building large-scale, distributed microservices and APIs on AWS (Go, Lambda, EKS, DynamoDB) for Akoya's fintech API-based financial data-sharing network.
Senior Data Engineer (Python and Snowflake)
Senior Data Engineer building enterprise-scale data platforms using Python, Snowflake, and SQL, focusing on ETL/ELT pipelines, data modeling, performance tuning, and governance.
Full Stack Engineer
Full Stack Engineer consultant at Zenika Singapore, designing and building full stack applications for clients using React/TypeScript frontends and Node.js/Python/Go backends, with Docker/Kubernetes and CI/CD pipelines.
Full Stack Engineer (Golang, Nodejs, Python)
Full Stack Engineer building scalable web applications and RESTful APIs using Golang, Python, or Node.js backends paired with React/Angular/Vue.js frontends, integrated with databases and cloud platforms.
Software Engineer
Senior Backend Engineer builds, scales, and operates core Java/Kotlin services end-to-end, owning architecture, APIs, and cloud infrastructure for a product company.
AWS Data Engineer — Data Lakes, Cloud Infra & CI/CD
Builds and maintains scalable AWS data lakes, pipelines, and cloud infrastructure for analytics/ML, collaborating with analysts and architects to design data workflows.
AWS Data Engineer – Cloud Data Platform & ML Enablement
Builds and maintains AWS-based data pipelines, transforming raw data into structured formats for analytics and ML models, using cloud-native tools and containerization.
AWS Data Engineer — Cloud Data Platform & CI/CD Expert
Designs and builds AWS-based data pipelines, transforming and processing data for analytics and ML models while collaborating with stakeholders to define requirements and outcomes.
AWS Data Engineer: Cloud-Native Data Lakes & CI/CD
Designs and builds cloud-native data lakes on AWS, handling data ingestion, transformation, and loading for analytics and ML pipelines.
AWS Data Engineer - Build Scalable Data Lakes & CI/CD
Build and maintain AWS-based data lakes, pipelines, and serverless ETL workflows for analytics and ML models.
AWS Data Engineer: Build Scalable Data Lakes & ML Pipelines
Designs and builds scalable AWS-based data lakes and ML pipelines, collaborating with analysts and architects to ingest, transform, and load data for analytics and machine learning.
AWS Data Engineer
Designs and builds AWS-based data pipelines and infrastructure, migrating systems to scalable cloud environments and ensuring high availability and security.