Senior Backend Engineer
About The Position
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.
Requirements
- 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
- 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
Nice To Haves
- Familiarity with AI/ML integration—especially Vertex and Gemini (preferred)
- Experience with financial products is a plus, but deep technical curiosity matters more
Responsibilities
- 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
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed
Number of Employees
1-10 employees
