• Design, build, and operate production backend services using Rust and other strongly engineered backend technologies. • Own backend components from design through deployment, observability, incident learning, and ongoing maintenance. • Modernize existing systems incrementally, reducing technical debt while protecting reliability and business continuity. • Develop clean, maintainable, production-grade code with strong attention to correctness, testability, performance, and operational behavior. • Debug complex production and pre-production issues across services, data flows, infrastructure, and deployment pipelines. • Define practical service boundaries, API contracts, data models, and integration patterns that support long-term maintainability. • Improve reliability, observability, monitoring, alerting, and deployment workflows for backend systems. • Use AI-assisted and agentic coding tools to accelerate exploration, implementation, testing, debugging, and documentation while remaining accountable for final quality. • Collaborate with frontend, product, infrastructure, security, and operations partners to deliver complete and reliable product capabilities. • Evaluate architectural options and communicate trade-offs clearly to technical and non-technical stakeholders. • Contribute to code reviews, design reviews, documentation, and engineering practices that raise the quality of the team. • Identify risks, simplify complex technical problems, and make pragmatic decisions in ambiguous situations.

• Design, build, and operate production backend services using Rust and other strongly engineered backend technologies • Own backend components from design through deployment, observability, incident learning, and ongoing maintenance • Modernize existing systems incrementally • Develop clean, maintainable, production-grade code • Debug complex production and pre-production issues • Define practical service boundaries, API contracts, data models, and integration patterns • Improve reliability, observability, monitoring, alerting, and deployment workflows • Collaborate with frontend, product, infrastructure, security, and operations partners

• Projetar e desenvolver APIs REST em Python utilizando arquitetura de microsserviços. • Construir pipelines de inferência e integrar modelos de Machine Learning e LLMs em aplicações backend. • Desenvolver soluções utilizando agentes inteligentes com LangChain e LangGraph. • Implementar arquiteturas de Retrieval-Augmented Generation (RAG), integrando fontes internas de conhecimento. • Manipular e processar dados utilizando Pandas e NumPy. • Garantir qualidade de código por meio de Clean Code, princípios SOLID e testes automatizados (unitários e integração). • Implementar e manter práticas de observabilidade, incluindo logs, métricas e tracing utilizando Prometheus, Grafana e Datadog. • Construir e manter pipelines de CI/CD utilizando GitHub. • Atuar na definição e evolução da arquitetura end-to-end das soluções. • Trabalhar com infraestrutura em nuvem AWS e ambientes conteinerizados, garantindo escalabilidade, segurança e alta disponibilidade.

Role Description - Platform & Orchestration: Deep expertise in deploying large-scale workloads on Red Hat OpenShift (Kubernetes) and OpenStack. - Agnostic AI Deployment: Ability to independently install and optimize any AI framework or tool, including LLM orchestration, vector databases, Graph Databases, and vLLM. - IaC & Automation: Proficiency in Helm, Ansible, Terraform, or Python to codify PoCs into production blueprints. - Compute Optimization: Experience managing GPU acceleration (NVIDIA CUDA, MIG/slicing) and high-performance networking in containerized environments. - Prototyping: Ability to independently deliver functional, secured PoCs from minimal documentation within days. - Architecture & Integration: Skilled in connecting AI tools via APIs, managing authentication (OAuth/OIDC), and persistent storage. Qualifications - Number of Positions: 4 (2 focused on Python/AI and 2 on Operations) - Location: US - Seniority: Team Lead (1), Senior (1), Mid-Level (2) - Start Date: ASAP - Duration: 6-12 months Company Description