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DevOps engineer maintains Linux servers, Docker/Kubernetes environments, and CI/CD pipelines while automating tasks with Bash/Python and monitoring services.
Build and evolve high-performance Java microservices for a global fintech trading platform using Micronaut, Kafka, and Kubernetes, ensuring low-latency and high availability.
Lead a team to design and scale AI-driven financial software for ultra-high-net-worth clients, focusing on architecture, mentorship, and cloud-native systems in Python and AWS.
Lead backend development for NexusGRID, building scalable Python/Django services that process millions of energy-asset telemetry records with high reliability and performance.
Build and tune AI agents, retrieval, and personalization pipelines for a next-gen fitness app’s voice-driven assistant using LangGraph/LangChain, FastAPI, and RAG.
Build and scale a cross-border e-commerce logistics platform using Vue.js/React/Svelte for the frontend and Nest.js/Spring for the backend, integrating WMS, AI-driven automation, and cloud services.
Build and maintain scalable e-commerce platforms using Java, TypeScript, Angular, React, and AWS services while mentoring junior engineers and driving architectural decisions.
Architects and builds Java/Spring Boot microservices for a paperless document workflow system, integrating ECM, Data Lake, and e-signature services while owning CI/CD, Kubernetes, and observability tooling.
Architect designs and builds Java/Spring Boot apps for paperless document workflows, REST/SOAP integrations, and microservices on Azure DevOps, Docker and Kubernetes.
Build and run Nexthink’s data backbone—Kafka, ClickHouse, Aurora, MongoDB, and new search/vector stores—on AWS, using Kubernetes, Terraform, and Go/Python to keep it reliable, fast, and self-service.
Lead Backend Developer (Python/Django) Location: Cairo/Giza, Egypt (Full-time On-site) Experience: 7+ years of professional software development experience Employment Type: Full-time About Nexus Analytica Nexus…
Embed with a global manufacturer to design and ship governed agentic search workflows using Python/C# and enterprise search engines, bridging customer needs with Sinequa’s AI platform.
Build and deploy AI-native backend services using LLMs, RAG, and web agents to automate document processing and decision-making for enterprise clients.
Build an AI pipeline to auto-generate structured documentation from a large industrial codebase using LLMs, vector search, and knowledge graphs.
Build and evolve cloud-native Java microservices for mission-critical fintech platforms using Spring Boot, Kafka, and Kubernetes, while modernizing legacy systems.
Lead the design of scalable document ingestion and vectorization pipelines for financial data, enabling AI-powered analytics and retrieval in a cloud-native environment.
Lead SailPoint’s Kubernetes and service mesh platform, designing and operating global AWS infrastructure for the Identity Security Cloud, while mentoring engineers and ensuring PCI compliance.
Design and implement AI governance controls, observability, and audit patterns for Huron’s AI systems, ensuring safe, compliant, and measurable outputs across cloud platforms.
Senior Data Scientist builds ML models and statistical algorithms to detect and analyze cybersecurity threats, working with Python, SQL, and graph analytics to clean data and create visualizations for both technical and non-technical teams.
Builds private-cloud management features using Java/Spring, AI-driven development, and observability tooling to simplify operations for enterprise workloads.
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