[All remote jobs](https://jobicy.com/jobs.md)[![Signifyd logo](https://jobicy.com/data/server-nyc0409/galaxy/mercury/2025/06/9be4f098-221.jpg)](https://jobicy.com/company/signifyd.md)[Signifyd](https://jobicy.com/company/signifyd.md) # Staff Software Engineer I, Platform Engineering Review the role, location requirements, compensation details, and application process before deciding whether this opportunity fits your next career move. [Apply for this job](#job-application)[View company](https://jobicy.com/company/signifyd.md)ShareRemote from[USA](https://jobicy.com/job-region/usa.md)SalaryUndisclosedDepartment[DevOps & Infrastructure](https://jobicy.com/categories/admin.md)EmploymentFull TimeExperienceSeniorPublished2 Nov 2026Apply before2 Dec 2026Listing views45Application actions2Application toolkit ## Make your next move. Prepare your resume, explore your fit, and draft a cover letter for this opportunity. AI Summary ## The role, at a glance. Signifyd is hiring a Staff Software Engineer I to set technical strategy for its enterprise cloud and platform infrastructure. The role leads multi-team initiatives involving GCP, Kubernetes, cloud networking, security, reliability, FinOps, CI/CD, and self-service developer tooling. It also drives AI-enabled operational automation, including self-healing infrastructure, anomaly detection, and AI-assisted incident response. This is a senior hands-on technical leadership position with on-call participation, broad organizational influence, and substantial autonomy. The role is remote for candidates in the United States. ## Role DNA A quick view of the complexity, pace, ownership and collaboration implied by the job description. ### Job Complexity 5/5EasyHard ### Pace & Pressure 5/5RelaxedFast-paced ### Autonomy Level 5/5GuidedFull ownership ### Communication Load 5/5IndependentCollaborative AI insightThis role requires expert-level platform engineering depth alongside the ability to define architecture and influence several engineering teams. It combines high-scale production reliability, cloud security, AI automation, cost optimization, and strategic technical leadership. ## Salary analysis Estimated compensation compared with the broader US market for similar roles. Estimated job median (per year)Market rate$207,500US market range (per year)$190k–$240k0$264k AI insightThe yearly pay period is inferred from the job context; it was not explicitly stated by the employer. The employer explicitly discloses annual US base-salary ranges of $190,000–$225,000, varying by pay zone. The displayed job median is the midpoint of the full published range. Estimated US market compensation for a staff-level platform/infrastructure engineer is $190,000–$240,000 annually; equity and the stated annual bonus are excluded from base-salary calculations. ## Core skills Skills and capabilities most closely associated with this opportunity. [Google Cloud Platform](https://jobicy.com/jobs?search_keywords=Google%20Cloud%20Platform.md)[Kubernetes](https://jobicy.com/jobs?search_keywords=Kubernetes.md)[Cloud networking](https://jobicy.com/jobs?search_keywords=Cloud%20networking.md)[Cloud security](https://jobicy.com/jobs?search_keywords=Cloud%20security.md)[Terraform](https://jobicy.com/jobs?search_keywords=Terraform.md)[GitOps](https://jobicy.com/jobs?search_keywords=GitOps.md)[ArgoCD](https://jobicy.com/jobs?search_keywords=ArgoCD.md)[GitHub Actions](https://jobicy.com/jobs?search_keywords=GitHub%20Actions.md)[CI/CD](https://jobicy.com/jobs?search_keywords=CICD.md)[OpenTelemetry](https://jobicy.com/jobs?search_keywords=OpenTelemetry.md)[Site reliability engineering](https://jobicy.com/jobs?search_keywords=Site%20reliability%20engineering.md)[FinOps](https://jobicy.com/jobs?search_keywords=FinOps.md)[Python](https://jobicy.com/jobs?search_keywords=Python.md)[Go](https://jobicy.com/jobs?search_keywords=Go.md)[AI infrastructure](https://jobicy.com/jobs?search_keywords=AI%20infrastructure.md) Sample interview questionsHow would you create a multi-quarter strategy for a GCP and Kubernetes platform used by many engineering teams?I would start by assessing reliability, security, cost, developer experience, and adoption data, then align measurable outcomes with business priorities. I would define a target architecture, sequence investments into milestones, establish platform standards and golden paths, and use an engineering governance model that includes stakeholders from application, security, and operations teams. Describe how you would design self-healing infrastructure without creating unsafe automation. I would begin with observable, low-risk remediation workflows and clear service ownership boundaries. Each action would use policy controls, approvals or bounded permissions where needed, audit logs, rollback mechanisms, and success metrics. AI-generated recommendations should be validated against trusted telemetry and runbooks before they can trigger production changes autonomously. What practices would you use to reduce change failure rate across CI/CD pipelines? I would standardize reusable pipeline templates, enforce automated testing and security checks, use progressive delivery and feature flags, and provide clear rollback paths. I would instrument deployments to connect changes with SLO impact, review failure patterns, and improve the golden path based on developer feedback and operational data. How do you balance cloud cost optimization with performance and reliability requirements? I treat cost as an engineering constraint alongside latency, availability, and capacity. I would establish cost allocation and visibility, set resource right-sizing and autoscaling standards, define capacity planning practices, and evaluate savings opportunities against SLO risk. Teams should receive actionable cost data rather than broad mandates that could compromise service reliability. How would you influence platform standards when senior engineers across teams have different technical preferences? I would make the decision process transparent by presenting data, trade-offs, prototypes, and operational consequences. I would invite affected teams into design reviews, document the rationale in an ADR, and provide migration paths and enablement rather than simply imposing standards. Success depends on demonstrating that the preferred path is safer and easier for teams to adopt. Opportunity details ## About this role. 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) Show more [Apply now >](https://jobicy.com/jobs/158484-staff-software-engineer-i-platform-engineering.md) > Annual salary information is not provided for this position. 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