Senior Backend Engineer

Georgia, United StatesRemoteFull TimeSeniorPosted 2 months agoVisa sponsorship available

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Role summary

ImagineX is seeking a Senior Backend Engineer to design and implement AI-powered fraud detection systems. The role involves building backend services using Node.js and TypeScript, integrating with GCP and AI/ML tools like Vertex and Gemini, and working with microservices, Kubernetes, and secure authentication patterns. This is a high-impact, security-focused position within a remote, collaborative engineering culture.

ImagineX is a tech company that deploys AI-assisted teams to build and secure mission-critical enterprise solutions with our clients – spanning software, cybersecurity, data, and AI. Structured like a software company, not a traditional consultancy, we blend deep technical expertise with authentic values, achieving world-class satisfaction (NPS 82). Our dedicated teams specialize in software, data, and AI across the U.S. and LATAM, bridging the gap between boutique agility and enterprise scale.
We’re building a state-of-the-art, ML‑powered fraud signal detection platform from the ground up, and we’re looking for an engineer who thrives in high‑impact, security‑focused environments. You’ll design and implement backend systems that protect users, power real‑time fraud detection, and integrate deeply with modern AI/ML tooling.
What You’ll Do

Build and optimize fraud‑prevention and device‑authentication systems using Node.js and TypeScript
Develop payment interceptors, high‑risk action authentication, and step‑up flows
Integrate backend services with GCP (Spanner, BigQuery, GKE) and containerized environments
Collaborate with AI/ML systems, including Google Vertex and Gemini
Contribute to architectural decisions and technical strategy
Work with RESTful APIs, microservices, and secure authentication patterns (OIDC/OAuth2)
Write clean, maintainable, well‑documented code in a fast‑moving engineering culture

What You Bring

Strong experience building backend systems with Node.js and TypeScript
Practical understanding of OIDC/OAuth2 ecosystems and authentication strategies
Hands‑on experience with GCP services (GKE familiarity expected; Spanner preferred)
Background in Kubernetes, microservices, and relational databases (Postgres or similar)
Experience with authentication, security best practices, and fraud‑related systems
Familiarity with AI/ML integration—especially Vertex and Gemini (preferred)
Experience with financial products is a plus, but deep technical curiosity matters more

Soft Skills

Strong problem‑solving instincts paired with good judgment on when to push vs. when to align
Clear, effective communication in a collaborative, engineering‑led environment
Self‑driven, proactive, and comfortable navigating ambiguity
Thrives in remote, distributed teams and asks for context early to stay unblocked

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