Pre-screened and vetted.
Mid-Level Software Engineer specializing in intelligent automation and enterprise integrations
Mid-level Software Engineer specializing in cloud-native Python microservices (Insurance & Healthcare)
Senior Engineering Manager specializing in AWS cloud-native distributed systems
Senior Cloud Solutions Architect specializing in multi-cloud DevSecOps and SRE
Senior DevOps & Site Reliability Engineer specializing in multi-cloud Kubernetes platforms
Mid-level Software Engineer specializing in AI, data, and full-stack systems
Senior QA Automation Engineer specializing in web, mobile, and API test automation
Junior Software Engineer specializing in distributed systems and cloud infrastructure
Mid-Level Software Engineer specializing in platform reliability and microservices
Executive engineering leader specializing in startup platforms, cloud architecture, and AI/Web3
Mid-level XR/3D Visualization Developer specializing in real-time spatial computing
Senior DevSecOps Engineer specializing in AWS GovCloud, Kubernetes, and compliance automation
Senior Software Engineer specializing in XR, 3D systems, and computer vision
“XR/Unity engineer with hands-on ownership of high-performance 3D reconstruction and visualization systems, including a Gaussian Splatting pipeline that improved target-device performance from ~20 FPS to 60+ FPS. Also brings multiplayer XR experience with Photon Fusion, cross-platform Quest/mobile shipping experience, and AI-driven NPC dialogue integration using a self-hosted rule-based backend. Based in Moscow and open to remote work across time zones.”
Mid-level Software Engineer specializing in cloud-native microservices, DevOps, and SRE
“Built and productionized an LLM-enhanced version of the WeDAA platform to auto-generate microservice architecture diagrams and support code generation from user prompts, including a practical solution for non-overlapping canvas object placement via coordinate templates. Experienced in diagnosing agentic workflow failures using AWS Strands agents with feature-flagged debug logging, and frequently supports sales through tailored demos and POCs to drive adoption.”
Junior Software Engineer specializing in backend systems and machine learning
“Independent builder of production-grade systems: shipped an end-to-end URL shortener with JWT auth, Redis rate limiting/caching, Postgres, Docker, and real-time analytics, and separately architected a Redis-backed distributed task queue handling 1000+ tasks/min. Demonstrates strong distributed-systems instincts (atomicity, retries/DLQ, idempotency, heartbeats) plus a focus on maintainable code and self-documenting APIs (FastAPI/OpenAPI, versioned routes).”
Mid-level DevOps & Platform Engineer specializing in AI/ML infrastructure
“Backend/AI engineer who built production-grade intelligence systems in high-stakes domains including tax/legal document analysis and brain tumor MRI workflows. Stands out for combining LLM/RAG product delivery with strong engineering rigor around retrieval evaluation, grounding, validation, observability, and safe fallbacks—turning impressive demos into systems users could actually trust.”
Senior DevOps/Site Reliability Engineer specializing in multi-cloud infrastructure
“Candidate is actively using AI-assisted development tools, including MCP server integrations with Copilot, to generate boilerplate test scripts, validate code standards, and handle package updates. They also have hands-on experience choosing different agents based on task requirements and serving as an admin for AI tool access.”
Mid-level Software Engineer specializing in AI, full-stack systems, and FinTech
“Product-minded full-stack engineer with experience in fintech identity verification and industrial analytics, focused on turning repeated operational pain points into reusable platforms. Built real-time KYC/KYB dashboards, secure cross-platform web components, and a multi-tenant workflow engine that cut onboarding from 2 weeks to 1 day while materially improving conversion, reliability, and developer speed.”
Junior Software Engineer specializing in cloud-native microservices and applied AI/ML
“Built and deployed a production AI accessibility platform that turns chart and image-based graphs into real-time audio narratives for visually impaired users. Implemented a ResNet-based CV + OCR + NLP + TTS pipeline and improved performance through preprocessing, Redis caching, and Kubernetes autoscaling/rolling updates on AWS to handle traffic spikes with no downtime.”