远程工作雷达

资深软件工程师,云平台

Staff Software Engineer, Cloud Platform

开发工程限定地区(需当地身份)与中国几乎无重叠,需长期倒时差
公司Signifyd
薪资$150,000 - $190,000/年
工作地点United States
地域资格限定地区(需当地身份)
时区要求与中国几乎无重叠,需长期倒时差
用工类型permanent
发布时间2026-06-24
数据来源4dayweek.io
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注意地域限制:该职位明确限定在 United States 招聘。如果你是位于中国大陆的求职者,通常需要当地工作身份才能投递,或需与雇主确认是否接受独立合同(Contractor)形式合作。
作息提示:与中国几乎无重叠,需长期倒时差。

在 Signifyd,我们通过与客户建立信任关系,帮助商家自信地拓展业务。我们的先进技术,加上团队对客户成功真正投入的热情,创造了无摩擦的购物体验,批准更多优质订单,保护收入,并让客户满意。

我们被全球100多个国家的数千家领先商家所信赖,每年安全处理数十亿笔交易。我们的员工是所有工作的核心,以承诺、同理心和创造力推动我们的使命前进。加入我们,共同实现赋能自信、无欺诈的商业交易,帮助在线零售商提供卓越的客户体验并消除欺诈。了解我们的公司价值观 [这里](https://www.signifyd.com/about/#values)!

Signifyd 正在招聘一名 **Staff Software Engineer I**,加入平台工程团队。在更广泛的工程组织中,这个关键角色将为我们的企业云基础设施设定技术愿景和长期战略,推动其设计和跨多个工程团队的演进。你将提供超越平台团队的技术领导力,与工程负责人、同行和跨职能利益相关者合作,塑造 Signifyd 如何构建、自动化和扩展支持客户核心决策平台的庞大计算环境。这包括推动 AI 和智能自动化如何融入平台,如自愈基础设施和 AI 辅助事件响应,以及支撑 Signifyd 自身平台生产环境的可靠、可扩展系统。在一个注重创新、快速迭代和持续学习的文化中,你将在全公司范围的问题领域中拥有高度自主权,确保技术决策与战略业务成果保持一致,同时积极塑造它们。为确保大规模系统的无缝运行,理想的候选人应具备扎实的软件开发技能,出色的分析和沟通能力,以及在云技术、容器、Kubernetes、云网络、安全和平台工程方面的深厚技术能力。能够熟练将 AI 和机器学习应用于平台问题,如智能自动化、异常检测和 AI 辅助开发工具。了解用于可靠大规模运行 AI/ML 工作负载的基础设施将是一个很大的优势,同时有实际经验者优先。

查看英文原文

At Signifyd, we help merchants confidently grow their businesses by building trusted relationships with their customers. Our advanced technology, combined with a team genuinely invested in our clients’ success, creates frictionless shopping experiences, approving more good orders, protecting revenue, and keeping customers happy.

Trusted by thousands of leading merchants across more than 100 countries, we securely process billions of transactions each year. Our people are the heart of everything we do, driving our mission forward with commitment, empathy, and creativity. Join us on our mission to empower confident, fraud-free commerce by helping online retailers provide superior customer experiences and eliminate fraud. Learn about our company values [here](https://www.signifyd.com/about/#values)!

Signifyd is looking to hire a **Staff Software Engineer I** for its Platform Engineering group. Within our broader Engineering organization, this pivotal role will set the technical vision and long-term strategy for our enterprise cloud infrastructure, driving its design and evolution across multiple engineering teams. You will provide technical leadership that extends beyond the Platform team, partnering with engineering leaders, peers, and cross-functional stakeholders to shape how Signifyd builds, automates, and scales the vast computing environment that supports our core decision platform for customers. This includes championing how AI and intelligent automation get built into the platform like self-healing infrastructure and AI-assisted incident response to the reliable, scalable systems that host Signifyd's own platform in production. Thriving in an innovative culture of rapid iteration and continuous learning, you will operate with significant autonomy in organization wide problem spaces, ensuring technical decisions align with while actively shaping strategic business outcomes. To ensure seamless system operations at scale, the ideal candidate will possess a strong software development skillset, exceptional analytical and communication skills, and deep technical proficiency across cloud technologies, containers, Kubernetes, cloud networking, security, and platform engineering. Fluency in applying AI and machine learning to platform problems such as intelligent automation, anomaly detection, and AI-assisted developer tooling. The knowledge of the infrastructure needed to run AI/ML workloads reliably at scale is a strong plus, along with a demonstrated track record of driving initiatives that span multiple teams.

### About Signifyd

Signifyd protects ecommerce businesses from fraud and abuse with a 100% financial guarantee, using machine learning, big data, and human expertise to help merchants sell more, safely. We work with customers ranging from emerging startups to large-scale enterprises processing millions of transactions, and there's a lot more ground to cover — which means real ownership and real impact for the people building our platform.

### About Platform Engineering

Platform Engineering builds and operates the foundational systems that power Signifyd globally — cloud infrastructure, containers and Kubernetes, cloud networking, and security — along with the self-healing automation that keeps our core decision platform running reliably at scale. The team is also responsible for building AI and intelligent automation directly into the platform, from AI-assisted incident response to the infrastructure that reliably runs Signifyd's own AI/ML workloads in production.

### What You’ll Do

As a Staff Software Engineer in Platform Engineering capability, you will play a key leadership role in setting the technical vision and long-term strategy for Signifyd's enterprise cloud infrastructure. You will decide how Signifyd automates, scales, and secures the computing environment behind our core decision platform. You will partner with engineering leaders, Staff+ peers, and cross-functional stakeholders to turn ambiguous, org-wide problems into concrete technical direction, operating with significant autonomy well beyond the scope of any single team. You will also help bring AI and machine learning into how the platform runs itself — intelligent automation, anomaly detection, AI-assisted developer tooling, and the infrastructure needed to run AI/ML workloads reliably at scale.

### Pioneer AI-Driven Infrastructure

- **Build the future:** Define the architectural strategy for integrating LLM-powered, agentic tools across the platform. Set the technical direction for self-healing infrastructure and automated root-cause analysis, influencing multiple teams' roadmaps to cut operational toil and speed up incident resolution.

### Architect for Scale, Security & Reliability

- **Evolve the ecosystem:** Own the multi-quarter roadmap for our GCP and Kubernetes-based cloud capabilities, balancing developer feedback with emerging cloud technologies and building consensus among senior stakeholders.
- **Drive operational excellence:** Set the standard for SLOs and incident management across the platform, and share ownership of platform health through on-call rotations — using those frontline insights to harden systems at scale.
- **Embed security:** Architect access controls, encryption, and vulnerability management as a foundational platform standard that keeps the platform secure without slowing developer velocity.
- **Optimize footprint:** Set the strategic direction for cloud capacity management and FinOps, delivering efficient scaling and cost transparency that other teams adopt as the standard.

### Elevate Developer Experience (DevEx)

- **Productize the platform:** Own the technical strategy for turning CI/CD (GitHub Actions, TeamCity), deployment (ArgoCD), and build tooling into a cohesive, self-service product — driving Change Failure Rate toward zero across engineering.
- **Pave the golden path:** Define the platform standards built directly into our tooling, so the right way is automatically the fastest and easiest way for every engineer at Signifyd.

### Technical Leadership & Mentorship

- **Solve systemic problems:** Serve as the escalation point for the most complex, ambiguous infrastructure challenges, delivering durable fixes and shaping how other teams approach similar problems.
- **Champion the culture:** Foster a customer-focused engineering culture, mentor engineers at every level, raise the technical bar, and advocate for product-thinking and empathy for the developer experience.

### What You'll Bring

### Cloud & Infrastructure Mastery

- **Cloud Platform:** Deep, demonstrated mastery of Google Cloud Platform (GCP); AWS experience is a strong plus. Expert-level knowledge of cloud networking, protocols, and security best practices, with a track record of setting standards others follow.
- **Kubernetes:** Extensive expertise in architecting and operating self-managed and cloud-managed Kubernetes environments at scale, including setting Kubernetes strategy across multiple teams.
- **Data Systems:** Proven experience in architecting and scaling data storage and streaming technologies (e.g., PostgreSQL, MySQL, Cassandra, Elasticsearch, Kafka) in ways that shape platform-wide standards.

### Software Engineering & DevEx

- **Coding Proficiency:** Strong software development skills in high-level languages (e.g., Python, Go, Java, TypeScript), with a history of setting engineering practices adopted beyond your immediate team.
- **IaC & GitOps:** Demonstrated ability to architect secure, self-service infrastructure using Infrastructure-as-Code (Terraform) and declarative CI/CD pipelines (ArgoCD, GitHub Actions, TeamCity), driving down Change Failure Rate across teams.

### Observability & AI Fluency

- **AI Tooling:** Proficiency with modern AI-assisted development tools (Cursor, GitHub Copilot, Claude), paired with the critical judgment to audit AI-generated code for security, correctness, and long-term maintainability — and to set guidelines for how teams adopt these tools responsibly.
- **Telemetry:** Experience architecting scalable, OpenTelemetry-based monitoring and tracing that helps engineering teams quickly pinpoint bottlenecks and lower MTTR.

### Vision & Delivery

- **Architectural Mindset:** Deep, cross-domain expertise in cloud security, cost optimization (FinOps), and performance efficiency, with a demonstrated ability to translate that expertise into technical strategy.
- **Execution:** A track record of driving complex, cross-team technical initiatives to completion in a fast-paced, collaborative environment, with minimal oversight.

#LI-Remote

**Benefits in our US offices:**

- Discretionary Time Off Policy (Unlimited!)
- 401K Match
- Stock Options
- Annual Performance Bonus or Commissions
- Paid Parental Leave (12 weeks)
- On-Demand Therapy for all employees & their dependents
- Dedicated learning budget through Learnerbly
- Health Insurance
- Dental Insurance
- Vision Insurance
- Flexible Spending Account (FSA)
- Short Term and Long Term Disability Insurance
- Life Insurance
- Company Social Events
- Signifyd Swag

**Compensation:**

_In the United States, each work location is assigned a specific pay zone, which determines the salary range for a given position. The starting base salary for the selected candidate will be based on a variety of factors, including job-related skills, experience, qualifications, geographic location, and current market conditions._

**Base Salary Ranges by Pay Zone:**

- Tier 1 (NYC/SF Bay Area/Seattle): $200,000 - 225,000 annually
- Tier 2 (DC Metro/Austin/Chicago/Denver/Boston/Los Angeles/San Diego): $195,000- $220,000 annually
- Tier 3 (US - All Other): $190,000- $215,000 annually

**Equity:** This role is eligible for a stock option grant of 6,000 stock options, based on the position level and internal compensation guidelines.

**Bonus:** This role is eligible for an annual performance bonus of up to 10% of base salary.

We want to provide an inclusive interview experience for all, including people with disabilities. We are happy to provide reasonable accommodations to candidates in need of individualized support during the hiring process.

[Signifyd's Applicant Privacy Notice](https://drive.google.com/file/d/1HSnMY6HGjB1FNRX4Ez9bUre5mrPPcHIq/view?usp=sharing)

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