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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.

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.

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.

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.

• 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.

• 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.

• 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.

• 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.

• 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.

• 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.

• 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.

• 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.