Hire Cloud engineers

Sven is a Middle DevOps engineer with expertise in Kubernetes, self-hosted LLM infrastructure, data-layer scaling, and enterprise authentication. He has experience in technical leadership, platform architecture, and production operations, particularly in Python-driven environments. During the vetting process, Sven communicated clearly, demonstrated sound engineering judgment, and might be best suited for roles focused on infrastructure, architecture, or technical leadership!

Radu is a middle-to-senior DevOps and platform engineer with approximately 9 years of experience across AWS, Azure, Kubernetes, Terraform, Terragrunt, CI/CD, and Linux. He has designed and maintained cloud infrastructure, built CI/CD pipelines, and managed Kubernetes deployments for large-scale organizations. Feedback highlights strong technical ownership, autonomy, and effective communication in English. He is best suited for roles emphasizing cloud DevOps, infrastructure automation, and platform engineering.

Yevhen is a full-stack PHP/Magento engineer with a back-end focus with 20 years of experience, specializing in e-commerce architecture, legacy modernization, and performance optimization. He has led technical teams, owned production delivery, and is skilled in Docker, Kubernetes, CI/CD, and cloud infrastructure. His client-facing communication is clear and pragmatic, though his React and modern PHP fluency are at a middle level. Best suited for backend or Magento-focused roles requiring technical ownership and direct client interaction.

Rishabh is a middle-to-senior data engineer with solid production experience in PySpark, Airflow, Big Data, AWS/GCP, SQL, and Python, building and maintaining large-scale pipelines in product environments like Meta/Wayfair.He has a good grasp of modern data engineering practices, though part of his background is based on internal Meta tooling, so he may need a short ramp-up on more standard, off-the-shelf solutions and frameworks your team uses. On the soft side, he comes across as friendly, collaborative, and calm under light pressure. He is motivated by startup environments, open to owning specific domains, and comfortable with EU time zone overlap.

Alexander is a Senior Blockchain Developer with full-stack experience across Node.js and React, specializing in Solidity and EVM-based smart contracts. He has led architecture and security for high-traffic DeFi and gamification platforms, delivering scalable and secure systems. His strengths lie in backend engineering and smart contract security, with a focus on reliability and performance. He communicates clearly with stakeholders and supports decisions with data. Known for a cost-aware approach, he evaluates trade-offs and provides practical, research-driven recommendations.

A Senior DevOps and AI Engineer with a strong background in Cloud engineering, specializing in AWS, Terraform, and CI/CD practices, along with LLM and Python proficiency. He has experience leading teams, including serving as a Tech Lead, and has worked across both corporate environments and startups. While his strengths lie in cloud and automation, he continues to deepen his expertise in Kubernetes, Linux, and networking. Steven has also been exploring AI since 2016 and actively leverages modern tools such as GitHub Copilot, JetBrains AI, and ChatGPT in his daily workflow.

Suren is a senior full-stack engineer with strong expertise in backend development, Node.js, AWS, and cloud infrastructure. He demonstrates practical experience with React, NestJS, Terraform, and AI integration, particularly in automating business workflows. His communication is effective, and he has led teams and owned cloud platforms. TypeScript depth is moderate, with some room for growth.

Jefferson is a Senior AI Engineer with 11+ years rooted in NLP and computational linguistics — a rare foundation that shapes how he approaches LLM systems at the data layer, retrieval design, and evaluation. He covers the full AI engineering stack: agentic orchestration (LangGraph, CrewAI, AWS Bedrock AgentCore), RAG pipelines with chapter-aware chunking and semantic retrieval surfaces, and multi-model GenAI workflows with structured quality evaluation. He's taken sole architectural ownership of production agentic platforms at enterprise scale, and brings genuine pre-transformer NLP depth — spaCy, BERT, NER, classical ASR — that most LLM engineers simply don't have. Best fit as the AI/NLP design lead on a RAG or agentic product where retrieval architecture and orchestration quality matter more than raw Python backend throughput.

Daniel is a senior DevOps and Site Reliability Engineer with deep expertise in AWS, Azure, Kubernetes, and Terraform. He has architected and operationalized complex cloud infrastructures, demonstrating mastery in networking, observability, and infrastructure as code. Daniel excels in consultative roles, clearly articulating design trade-offs and collaborating directly with CTOs and founders. He is best suited for platform architecture and reliability leadership positions.