Senior Fullstack Platform Engineer – Backend Focus

🕒 Ontem

🏄 California – Remoto

🏄 California – Remote

💵 $14.000.000 - $18.000.000 / ano

⏰ Tempo Integral

🟠 Sênior

🔙 Engenheiro Backend

Candidatar-se

Encontrar Vagas Remotas Similares

Configurar Alerta de Email para Novas Vagas

📊 Verifique sua pontuação de currículo para esta vaga

Melhore suas chances de conseguir uma entrevista verificando sua pontuação de currículo antes de se candidatar.

Enviar Currículo

Salt AI

SiteLinkedInTodas as Vagas

11 - 50 funcionários

Fundada em 2024

🏢 Corporativo

📋 Conformidade

🏥 Saúde

🔥 Investimento no último ano

💰 $10.000.000 Seed Round - Salt AI em 2025-09

Enterprise • Compliance • Healthcare

A Salt AI é uma provedora de infraestrutura e orquestração de IA contextual, projetada para empresas reguladas. Sua plataforma Salt OS unifica modelos, dados, governança e contexto em um único sistema implantável que opera onde os dados dos clientes estão (VPC/on-premises), é neutra em termos de modelo e nuvem, e aplica a auditabilidade e conformidade por padrão. A Salt AI enfatiza a ausência de saída pública, linhagem e trilhas de auditoria imutáveis, e controles pré-validados (SOC 2 e saúde) para dar suporte a casos de uso de alta conformidade. A empresa foca em setores regulados, incluindo ciências da vida, serviços financeiros, energia e utilidades, e governo, permitindo casos de uso como design molecular, pipelines clínicos, pipelines de modelos de risco, relatórios regulatórios e otimização operacional.

Descrição

• Workflow and agent execution. Build the contracts that let agents call real pipelines with typed inputs, structured outputs, streaming status, retries, logs, and auditability. • Python and Django platform services. Model platform concepts cleanly, build durable APIs, evolve service boundaries, and make customer workflows reliable at the backend layer. • Kubernetes-backed execution. Work on deployment patterns, scaling, isolation, runtime behavior, observability, and operational reliability for AI workflows. • Fullstack platform surfaces. Build the frontend and backend experiences customers use to configure, run, inspect, debug, and reuse AI workflows. • Permission-aware data access. Build secure customer data access patterns, retrieval systems, indexing, hybrid search, and APIs that respect enterprise boundaries. • Reliability and observability. Make distributed AI workflows understandable: what ran, what changed, what failed, why it failed, and what the user or system can do next. • Platform abstractions. Turn one-off customer implementations into reusable capabilities without sanding off the important domain-specific details. • Developer and operator experience. Improve the tools, docs, test harnesses, internal workflows, and diagnostics that let a small team move quickly without losing control of the system. • This is not a pure infrastructure role. The right person can move through the stack, find the real constraint, and leave the customer experience better shaped than they found it.

🎯 Requisitos

• Strong backend and platform experience. You are credible in Python/Django, APIs, distributed systems, cloud infrastructure, Kubernetes, queues, jobs, and production reliability. • Fullstack production range. You are comfortable enough with TypeScript, React, and frontend product surfaces to build, debug, or shape the UI that exposes your backend work. • High agency and high standards. You do not wait for a perfect spec. You clarify the problem, find the constraint, make progress, and raise the quality bar as you go. • Platform instincts. You think in contracts, interfaces, failure modes, permissions, observability, and lifecycle. You know the difference between a feature that works once and a primitive that other people can safely build on. • Good taste in abstraction. You do not over-framework the first version, but you can see when repeated customer work wants to become a platform capability. • Taste in customer experience. You can tell when a complex workflow is technically correct but still confusing, brittle, or hard to trust. You care about making advanced software feel legible, fast, and empowering. • AI-first engineering habits. You use tools like Claude Code, Cursor, Codex, or similar systems to move faster and think at a higher level. You still understand the code you ship, review generated work carefully, and know when to slow down. • Judgment in spite of AI. You can deliver high-quality software even when AI tools are eager to generate too much code, plausible abstractions, brittle tests, or shallow solutions. • Customer empathy. You can talk to scientists, data teams, operators, and enterprise stakeholders, then translate messy real-world needs into durable engineering decisions. • Clear communication. You can write down the shape of a problem, explain tradeoffs, and help the team make better decisions without turning everything into a meeting.

🏖️ Benefícios

• Competitive salary and equity package • 100% Employee Covered Medical, Dental, Vision Plan Base Plans (PPO & HMO) • Life Insurance, 401k, Flexible Spending Accounts, & More • Fully Remote - Required to work during US-based time frames