Senior Software Engineer, Cloud Platform

Signifyd

3d•$190,000 - $225,000•Remote

About The Position

Signifyd is looking to hire a Staff Software Engineer I for its Platform Engineering group. This role will set the technical vision and long-term strategy for Signifyd's enterprise cloud infrastructure, driving its design and evolution across multiple engineering teams. The engineer will provide technical leadership, partnering with engineering leaders, peers, and cross-functional stakeholders to shape how Signifyd builds, automates, and scales its computing environment. This includes championing the integration of AI and intelligent automation into the platform, such as self-healing infrastructure and AI-assisted incident response. The ideal candidate will have 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 is essential. 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.

Requirements

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.
Extensive expertise in architecting and operating self-managed and cloud-managed Kubernetes environments at scale, including setting Kubernetes strategy across multiple teams.
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.
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.
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.
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.
Experience architecting scalable, OpenTelemetry-based monitoring and tracing that helps engineering teams quickly pinpoint bottlenecks and lower MTTR.
Deep, cross-domain expertise in cloud security, cost optimization (FinOps), and performance efficiency, with a demonstrated ability to translate that expertise into technical strategy.
A track record of driving complex, cross-team technical initiatives to completion in a fast-paced, collaborative environment, with minimal oversight.
Exceptional analytical and communication skills.
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.

Nice To Haves

AWS experience is a strong plus.
Knowledge of the infrastructure needed to run AI/ML workloads reliably at scale is a strong plus.
Demonstrated track record of driving initiatives that span multiple teams.

Responsibilities

Set the technical vision and long-term strategy for Signifyd's enterprise cloud infrastructure.
Drive the design and evolution of the cloud infrastructure across multiple engineering teams.
Provide technical leadership and partner with engineering leaders, peers, and cross-functional stakeholders.
Shape how Signifyd builds, automates, and scales its computing environment.
Champion the integration of AI and intelligent automation into the platform (e.g., self-healing infrastructure, AI-assisted incident response).
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.
Influence multiple teams' roadmaps to cut operational toil and speed up incident resolution.
Own the multi-quarter roadmap for GCP and Kubernetes-based cloud capabilities.
Balance developer feedback with emerging cloud technologies and build consensus among senior stakeholders.
Set the standard for SLOs and incident management across the platform.
Share ownership of platform health through on-call rotations.
Harden systems at scale using frontline insights.
Architect access controls, encryption, and vulnerability management as a foundational platform standard.
Set the strategic direction for cloud capacity management and FinOps.
Deliver efficient scaling and cost transparency.
Own the technical strategy for turning CI/CD, deployment, and build tooling into a cohesive, self-service product.
Drive Change Failure Rate toward zero across engineering.
Define platform standards built directly into tooling.
Serve as the escalation point for complex infrastructure challenges.
Deliver durable fixes and shape how other teams approach similar problems.
Foster a customer-focused engineering culture.
Mentor engineers at every level.
Raise the technical bar.
Advocate for product-thinking and empathy for the developer experience.