Signifyd · London
Software EngineeringRemoteposted 4mo ago
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!
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.
#LI-Remote
Benefits in our US offices:
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:
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.