Staff Software Engineer, AI Developer Tools

🕒 Outubro 14

🏄 California, Washington – Remoto

🏄 California – Remote ☕ Washington – Remote

💵 $170.350 - $275.550 / ano

⏰ Tempo Integral

🔴 Especialista

🤖 Engenheiro de IA

👻 Score fantasma 1%

O que significa: a chance de ninguém estar realmente contratando para esta vaga.Como ler: 60% ou mais significa que achamos que é uma vaga fantasma. Pontuações mais baixas preocupam menos.Como pontuamos: tempo em aberto, republicações, vagas abertas vs tamanho do time, rapidez para fechar vagas, e se o salário está divulgado.Observação: é uma estimativa de dados públicos, não um julgamento da empresa. Vagas reais podem ter pontuação alta, então use como uma dica, não como um fato.

Candidatar-se

Encontrar Vagas Remotas Similares

Docker, Inc

SiteLinkedInTodas as Vagas

51 - 200 funcionários

💼 Consultoria

☁️ SaaS

💰 $105.000.000 Series C em 2022-03

Consulting • SaaS

Na Docker, simplificamos a vida dos desenvolvedores que estão criando aplicativos que mudam o mundo. A Docker ajuda os desenvolvedores a transformarem suas ideias em realidade, conquistando a complexidade do desenvolvimento de aplicativos. Simplificamos e aceleramos fluxos de trabalho com um pipeline de desenvolvimento integrado e componentes de aplicativos. Ativamente utilizado por milhões de desenvolvedores ao redor do mundo, o Docker Desktop e o Docker Hub oferecem simplicidade, agilidade e escolha incomparáveis.

Descrição

• Set technical direction and own architecture for AI-powered developer tools and the self-service AI developer tools platform • Turn ambiguous problems into requirements, plans, and staged decisions • Establish patterns and standards for LLM integration, agent development, and production AI systems • Shape deployment, observability, security, and operational capabilities for AI developer tools • Design reliable, scalable infrastructure for hosting AI agents and developer tools • Recommend AI technology, LLM provider, and agent orchestration strategies • Design, build, and operate production AI agents for code review, test generation, deployment diagnostics, and incident response • Build self-service platform capabilities that reduce time-to-production for new AI tools • Accelerate adoption of Claude Code and Codex across Docker engineering • Set reliability, security, performance, monitoring, incident response, SLO, and cost-management standards • Integrate AI developer tools with CI/CD, observability, and deployment systems • Participate in on-call rotation and improve alerts, runbooks, and tooling • Evaluate emerging AI/LLM technologies, developer tooling trends, and agent frameworks • Define measures of AI tool adoption, productivity gains, and developer satisfaction • Lead cross-team technical delivery with Infrastructure, Security, and Data • Mentor senior engineers and lead design and code reviews • Create reusable patterns, documentation, and architectural decision records • Help establish shared AI-assisted engineering workflows and controls

🎯 Requisitos

• 8+ years of software engineering experience • Hands-on production experience building LLM-powered applications, AI agents, or AI-assisted developer tools • Strong understanding of LLM APIs including OpenAI and Anthropic • Prompt engineering experience • Agent orchestration framework experience • Experience designing scalable distributed systems and developer-facing platforms • Production experience with Kubernetes, GitOps deployment patterns, observability systems, and CI/CD pipelines • Proficiency in Go, Rust, Java, or Python; Go preferred • Experience designing developer tools, platform systems, or internal tools • Experience clarifying requirements and constraints with stakeholders • Experience leading cross-team initiatives and influencing without direct authority • Strong product and platform judgment • Clear written and spoken communication suited to a remote, async-first company • Experience mentoring experienced engineers • Ownership mentality and iterative delivery in ambiguous environments • Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience • Experience with MCP or similar AI agent integration standards preferred • Background in developer productivity, DevOps, SRE, or platform engineering preferred • Contributions to open source AI tools, developer tooling, or platform engineering projects preferred • Experience evolving an internal platform into a widely adopted production-grade service preferred • Knowledge of security, compliance, and operational practices for production AI systems preferred • Experience with Terraform, Pulumi, AWS, GCP, or Azure preferred • Ability to work in the United States • May require participation in an on-call rotation outside standard business hours

🏖️ Benefícios

• Equity for all full-time employees • Remote-first work from home • Flexible scheduling • Generous PTO • Quarterly Whaleness Days • End-of-year Whaleness break • Home office support • Technology stipend equivalent to US$100 net per month • Annual learning and development stipend for conferences, courses, certifications, and continued learning • 16 weeks of paid parental leave after six months of employment • Medical benefits • Retirement benefits • Paid holidays • Docker swag

📊 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