Signifyd Staff Software Engineer II at Signifyd to set technical direction for the platform retailers use to integrate with Signifyd. Own architecture and long-term health of public-facing API platform and ingestion services.
Responsibilities
We are looking for a staff back-end engineer to set the technical direction for the platform retailers use to integrate with Signifyd. As a member of the Integrations & Onboarding team, you will own the architecture and long-term health of our public-facing API platform and ingestion services, defining both what we build and how we build it. This role suits an engineer who is drawn to open-ended problems spanning several teams, who can turn a complicated problem space into simple and durable foundations, and whose influence shows up in other teams' roadmaps as much as in their own systems.
Define and deliver the multi-year technical vision for our integration and ingestion platform across multiple teams and competing constraints.
Make the architecture-level technology calls, including build-versus-buy decisions and framework selection, and own the tradeoffs behind them.
Own the overall health and engineering quality of the platform: drive health reviews, curate testing strategy, and ensure the systems stay maintainable by engineers with varying levels of expertise.
Design systems under significant ambiguity, particularly those that many other systems depend on.
Partner with product management, data engineering, and other engineering teams, influencing their roadmaps where a shared solution serves the business better than a locally optimal one.
Raise the technical bar across related areas through design and code review, with particular attention to cross-team interfaces and API quality.
Proactively identify areas of technical debt and drive the strategy for addressing them.
Serve as a role model and mentor for engineers across the organization, and champion responsible adoption of AI development tools.
Qualification
Ability to influence without authorityJavaKubernetes
Required
Bachelor's degree or equivalent practical experience.
Significant experience in software development with modern programming languages, experience programming in a functional style.
Track record of setting technical direction across multiple teams, and of carrying large, ambiguous initiatives through to completion.
Depth in a platform or product domain that translated into distinctive business value, rather than breadth alone.
Strong software design and architecture skills, including reducing complex problems to simple foundational components and designing interfaces that are difficult to misuse.
Experience owning the long-term health of a significant system: testing strategy, operability, and reducing key-person dependency.
Experience building distributed systems or public-facing/platform APIs at scale.
Experience with cloud platforms such as AWS or GCP.
Ability to influence without authority, and to communicate effectively with engineers and non-engineers alike.
You use modern AI development tools fluently and help others do the same, championing responsible adoption while holding the line on quality. This means practical experience with AI coding assistants, understanding how to provide effective context, critically evaluating generated code for correctness, security, and maintainability, and coaching others toward the same standard.
