• Development in areas of enterprise analytics software supporting mining, data management, analysis and visualization on huge volumes of data. • To be an authority within the product portfolio responsible for the technical specification of projects and choice of technology including the development, integration, testing, infrastructure used and ongoing operational maintenance. • Strong technology focus and research orientation • To produce clear technical design documentation and diagrams detailing existing and proposed technical architectures. • To provide technical consultancy, expertise and advice to the development teams and management on matters of technical architecture and infrastructure developments, including their feasibility. • Lead and mentor small teams • Individual end to end leadership on specific projects • Ability to work well within a team structure and to deliver on specific tasks assigned. • Keenness to explore requirements and work proactively towards identifying gaps. • Drive consensus through extensive POCs and acquired knowledge • Extremely good communication and negotiation skills • Able to deal with global teams and ensure co-ordination amongst stakeholders • Ability to spot, hire and retain talent

• Design, build, and maintain the control plane that powers hundreds of dynamic developer sandboxes • Develop backend tooling and services that automate sandbox creation, orchestration, and lifecycle management • Productize and provide infra as a platform including DBs, caches, object storage and queueing systems • Scale & tune the cluster to provide capacity for volatile workloads. You’ll become hands on with Karpenter/VPA/KEDA policies, right-sizing, pod density, bin-packing, and scheduling strategies for diverse, bursty workloads • Constantly track and optimize costs to be efficient. At our k8s scale all tiny decisions matter, from compute to storage and data transfer • Own the networking setup to mimic what we have in Production but pair it with greater DevEx at scale of hundreds of sandboxes - traffic routing and interception, ingress tuning, serving assets • Implement and evolve observability within sandboxes • Partner with Sandboxes SRE team to ensure uptime and reliability of hundreds of sandboxes daily • Work with Deel engineering to improve their DevEx and productize day to day needs into self-service platform

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

• Own the design, architecture, and delivery of backend services and APIs using C# and .NET • Drive backend technical direction, including service design, data modeling, and infrastructure decisions • Ensure production reliability through monitoring, alerting, debugging, and incident resolution • Design systems that are scalable, maintainable, and aligned with business goals • Collaborate with frontend engineers and product stakeholders to deliver end-to-end solutions • Lead code reviews and enforce engineering best practices across the team • Mentor engineers and elevate overall team capability and standards • Identify and resolve performance bottlenecks and system inefficiencies • Contribute to and improve CI/CD pipelines and deployment processes • Actively participate in architectural discussions and technical roadmap planning • Own services in production, including monitoring, alerting, and incident response