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Fullstack developer with aml and financial services -software engineer (azure)
Hands-on Fullstack Software Engineer building cloud-native AML/financial-risk services on Azure using C#/.NET, AKS, data pipelines (Data Factory, Databricks, Synapse), and Angular/React UI, with a strong emphasis on TDD, CI/CD, and incremental legacy modernisation.
Cloud lead (gcp) / devops lead
Lead a GCP cloud practice, designing secure, scalable cloud-native architectures, automating infrastructure with Terraform, and mentoring engineers while delivering hands-on DevOps and platform engineering for enterprise clients.
Software development engineer in test (java)
Build and maintain Java-based test automation frameworks (Selenium, TestNG) for a large South African bank, writing production-grade code to validate APIs, databases, and end-to-end flows.
Expert développeur DevOps/MLOPS
Build and maintain MLOps pipelines and cloud infrastructure to deploy AI models end-to-end, using Python, Docker, Kubernetes, Azure ML, and CI/CD.
Data Platform Engineer
Design and build a cloud-native data platform on AWS, creating scalable pipelines and APIs to process telemetry data into insights for analytics and AI-driven decisions.
Senior Software Developer
Senior developer building scalable C++/Python software for underwater acoustic systems used in maritime surveillance, defence, and oil & gas.
Senior Software Developer
Build and ship full-stack features for an AI-powered edtech platform using Python/Django, PostgreSQL, and Next.js/React, while integrating AI-assisted workflows and LLM APIs.
Security Engineer III
Secure AWS cloud environments and AI-driven pipelines for a healthcare supply-chain platform, using Wiz CNAPP, Code-to-Cloud tracing, and LLM guardrails to prevent vulnerabilities and adversarial attacks.
Software Engineer in Test_remoto
Build and maintain testing frameworks in Python, Go and Rust for a large retail-tech company, integrating automated checks into CI/CD pipelines and evolving QA tooling like SonarQube and Sauce Labs.
Project Software Engineer / Project Software Developer
Transform research-level C++/Python code into secure, production-ready software and apply novel AI/ML methods for defense, aerospace, and sustainability projects in a fast-paced R&D environment.
iOS Technical Architect
Designs and leads the iOS architecture for a mobile team, setting patterns in Swift/SwiftUI and Clean Architecture while coaching engineers.
Entry Level Business Intelligence Analyst
Entry-level Business Intelligence Analyst role supporting Java, Spring Boot, full-stack development, APIs, and SQL in a collaborative outsourcing environment.
Cloud Engineer
Designs, deploys, and maintains cloud infrastructure on Microsoft Azure using IaC tools like Terraform and scripting in Python.
Gamedev QA Engineer (Manual) — Web + Unreal Engine (UE)
Manual QA Engineer tests web and Unreal Engine-based 3D city environments, runs smoke/regression tests, logs and reproduces bugs, and maintains test documentation.
DevOps Engineer
Build and maintain backend infrastructure for a Linux security product, modernizing legacy systems with Kubernetes, Kafka, and CI/CD pipelines.
AI Analyst
Build and deploy generative-AI agents and analytical models on GCP to automate business processes across finance, logistics, and engineering at a large appliance manufacturer.
Data Engineer Analyst
Build and maintain scalable data pipelines and infrastructure using GCP tools (Dataflow, Pub/Sub, BigQuery, Cloud Composer) to power analytics and decision-making for a global appliance manufacturer.
Forward Deployed Engineer (Remote)
You deploy and integrate an open-source AI coding platform for customers, build custom integrations, and advise on agentic workflows while bridging feedback to product teams.
Senior AI Engineer - GCP | Consumer Data & Digital
Build and deploy AI solutions on GCP for consumer data, ecommerce, and marketing using Python, BigQuery, and Vertex AI, from data prep to production.
Teamlead Data Engineering & Architecture (m/w/d)
Leads a team of data engineers to design, build, and maintain scalable data pipelines and architectures that power AI and data products, enforcing engineering excellence and best practices.