岗位大厅/Engineering/Staff Software Engineer, Infrastructure

Flow Engineering · 170天前 · 来源 ATS 官方

Staff Software Engineer, Infrastructure

San Francisco办公方式未标注
全职Engineering
薪资未披露
B 轮
团队 11–50 人

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信号由后台自动核验生成,仅供参考;判断权在你。设计案:GHOST-JOB-P1

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必备技能

AIAPIAWSAgentic AICI/CDCloudContainerizationDistributed SystemsDockerGCP

免费注册后解锁"你的匹配分 vs 高分画像"与个人技能缺口。

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职位描述

ABOUT FLOW

Flow Engineering is an AI-native requirements platform for modern engineering organizations, enabling hardware teams to collaborate with AI agents to design, validate, and evolve complex systems with speed and rigor. After a recent Series A, the team is scaling the product from thousands of users to hundreds of thousands while holding a high bar on reliability and speed.

ABOUT THE ROLE

Flow is hiring a staff software engineer with an infrastructure focus to build and scale the core platform behind Flow. You will own services and infrastructure that let “agentic systems engineers” and product teams rely on Flow in their day-to-day work.

You will join a small, senior, high-ownership team that values speed, ownership, and strong fundamentals: ship v1s quickly, learn, and iterate.

WHAT YOU’LL DO

- Design, build, and operate backend services and platform primitives that support complex engineering workflows and collaboration at scale.

- Scale Flow from thousands of users to hundreds of thousands, improving performance, reliability, observability, and security across the stack.

- Own and evolve CI/CD pipelines, test infrastructure, and internal tooling so the team can ship quickly and safely.

- Collaborate with frontend and AI engineers to define APIs, data models, and integration points that are robust and easy to evolve.

- Contribute to architectural decisions and technical direction as the product and customer base grow.

ABOUT YOU

- 3+ years of software engineering experience building and operating production systems in a cloud environment (e.g., AWS or GCP).

- Strong understanding of systems design, distributed systems, reliability, observability, and security best practices.

- Experience with containerization and infrastructure-as-code tooling (e.g., Docker, Terraform, or similar).

- Comfortable owning projects end-to-end in a fast-paced environment and making pragmatic tradeoffs under ambiguity.

- Collaborative, low-ego, and excited to work closely with product, design, and customer-facing teams.

OUR STACK (INFRA-LEANING)

- TypeScript, Node.js, and React on the application side (with a strong bias toward type safety).

- Postgres and other managed cloud services for persistence and messaging.

- Containers, Terraform (or similar), and a major cloud provider (AWS/GCP) for infrastructure.

HOW WE WORK & VALUES

- Speed over everything: ship v1s quickly, learn, and iterate rather than chasing perfection.

- Own, downscope, ship, iterate: clear ownership, smallest real thing, tight feedback loops.

- Fundamentals done well: simple, repeatable systems that let us move fast without breaking trust.

- Competitive salary and meaningful equity.

- Health, dental, and vision coverage.

- Flexible time off and support for travel to customers when it matters (“get on a plane”).

🈯 翻译这份 JD · 红灯 0 / 黄灯 2 / 绿灯 0点开 ▾
可以投——没有红灯,黄灯问题放进面试清单问清即可。
fast-paced → 流程不成熟、需求常变要问的问题:「节奏快」的交付周期是多久?需求由谁定?
competitive salary → 形容词,不是数字要问的问题:这个岗位的预算范围是多少?
词典只标"常见信号",不对公司下结论——红灯 = 面试里该当面确认的问题。想自己翻别的 JD:JD 翻译器 →
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公司 · Company

Flow Engineering

Flow Engineering develops an AI-native requirements and systems engineering collaboration platform designed for hardware development teams. Positioned as a coll

San Francisco团队 11–50 人B 轮来源:ATS 官方

⚑ 岗位信息收录自公开招聘页(ATS 官方),以雇主官网为准