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Full Stack Engineer (Golang, Nodejs, Python)
The Full Stack Engineer will design, develop, and maintain scalable web applications and microservices using Golang, Python, or Node.js. The role involves collaborating with cross-functional teams to build RESTful APIs and integrate with cloud platforms and databases.
Full Stack Engineer
This role involves designing, developing, and maintaining full-stack applications with a focus on system maintenance. The engineer will work primarily with Golang, SvelteKit, GraphQL, and PostgreSQL to build scalable microservices.
DevOps Engineer – DataSphere on AWS GCC (CI/CD, IaC)
Builds and maintains CI/CD pipelines and IaC for a data lakehouse platform on AWS GCC, ensuring compliance with government security/data protection standards while collaborating with security and data teams.
Hybrid DevOps/SRE Engineer: AWS, Kubernetes, CI/CD
Design, deploy, and scale high-availability AWS and Kubernetes infrastructure for TRON DAO's next-gen platforms in a hybrid role based in Singapore.
AI-Driven Backend Engineer (Python, AWS, BIM/IFC)
The Backend Engineer will develop and maintain Python-based services for processing IFC files and AI-powered 3D building model checks. The role involves deploying applications on AWS using Terraform and managing CI/CD pipelines on GitLab.
Python Backend Engineer – AI Pipelines, BIM & AWS
Builds Python backend services for AI pipelines, IFC file processing, and AWS deployment with Terraform and GitLab CI/CD.
Full Stack Developer (Nodejs, TypeScript)
Builds scalable, event-driven full-stack apps using Node.js, TypeScript, PostgreSQL, and modern frontend frameworks like Svelte/SvelteKit or React.
Backend Engineer: Java/Spring Microservices for Scale
Build product features across backend, frontend, or full-stack applications using Java, Spring Boot, TypeScript, React, and AWS, developing scalable microservices and RESTful APIs in a fintech context.
Senior Backend Engineer (Data Engineering)
Senior backend/data engineer owning end-to-end data pipelines, data modeling, and quality monitoring for a Singapore government agency, working with cloud-based data platforms and lakehouse-style architectures.
DevOps Engineer
DevOps Engineer building and maintaining CI/CD pipelines, Infrastructure-as-Code (Terraform), and security scanning on an AWS Government Commercial Cloud data lakehouse platform, ensuring strict government compliance.
Senior Software Engineer (GovEntry)
Develops and maintains a self-serve event management system (GovEntry) for public agencies, focusing on event sign-ups, access validation, and physical/virtual goods distribution via full-stack solutions, APIs, and Agile workflows.
Mid-Senior Frontend Developer – React & TypeScript
Builds responsive web apps with React, TypeScript, and AWS, integrating APIs and managing state for dashboards and charts.
Lead Data Center Design Mechanical Engineer
The Lead Data Center Design Mechanical Engineer at AWS manages infrastructure design projects for data centers, providing lifecycle support and mentoring junior staff. The role involves cross-functional coordination and requires up to 25% travel to support global and local projects.
Data Governance Engineer - AWS & Delta Lake
Leads data governance, quality, and architecture for an AWS-based platform using Lake Formation, Glue, Spark, and Delta Lake, ensuring compliance and security.
AI Data Engineer for Semantic Graphs & Retrieval (Hybrid)
The AI Data Engineer will design graph schemas, build semantic indexing systems, and manage AWS-based data infrastructure for enterprise AI. The role involves creating ontologies and implementing robust ETL/ELT pipelines using Python, SQL, and graph query languages.
Senior DevOps Engineer- Posture
Build and maintain scalable DevOps infrastructure for AI-driven cybersecurity systems, using AWS, Kubernetes, Terraform, and GitOps to deploy and monitor AI models and agents in production.
Senior Data Engineer AWS — Cloud Data Pipelines
Senior Data Engineer building cloud data pipelines on AWS—handling ingestion, processing, and orchestration with Spark, PySpark, and Spark SQL in a hybrid setup in Madrid.