Top Engineering Jobs

Design, build, and maintain scalable Java/Kotlin microservices and event-driven systems for high-throughput global growth initiatives. Collaborate with data scientists and product teams to create data pipelines and analytics, enable A/B testing and feature toggles, improve observability and performance, and ensure secure, compliant backend solutions while mentoring peers.

Lead engineering efforts for KYC automation and onboarding systems. Design and maintain scalable automation, implement AI/data-driven risk detection, collaborate with product, ops, and compliance, participate in architecture and code reviews, improve reliability and performance, and mentor junior engineers.

Lead the technical direction and delivery of automated regulatory reporting: design data pipelines, submission tooling, AI-assisted review, ensure data quality and auditable reports, manage a team of backend/frontend engineers, and partner with Compliance, Legal, Finance, and Core Banking platform teams.

Lead design, delivery and operation of scalable cloud infrastructure for Spend. Embed with product teams to drive reliability, observability, incident response, SLOs, runbooks, automation and compliance. Lead infrastructure projects like new service launches and global data centre migrations while collaborating with central DevOps and security.

Lead architecture and deliver backend systems for Business Accounts, building investment workflows, reconciliation controls, unit registries, and ledgers. Ensure reliable integrations with external investment providers, promote observability and API design best practices, and collaborate with Product, Infrastructure, and Design to ship production-grade financial infrastructure.

Lead architecture and delivery of developer tooling, CI/CD and cloud infrastructure to improve engineering velocity. Design scalable microservice components, optimize pipelines, deploy AI-driven developer productivity features, mentor engineers, set standards for observability, testing, and change management, and collaborate with cross-functional teams to measure and improve developer experience.

Lead architecture and build of a global, high‑performance data and AI platform. Own design, performance tuning, and SDLC for distributed systems (streaming, storage, indexing) powering real‑time analytics, vector search, and AI-driven products. Mentor engineers and drive engineering rigor and shared tooling.

Own and engineer collaboration platforms (Slack, Google Workspace, Zoom). Build integrations, automations, bots and migrations; manage data movement, security, scalability, and AI-enabled workflows. Partner globally with cross-functional teams and support escalations, on-call rotations, and M&A integrations.