Staff Engineer (Client Ops)

Key Responsibilities: The work spans a broad and evolving portfolio of platforms and services. The examples below are illustrative of the kind of problems you'll take on, not the limits of the role. Design, build and operate reusable backend services, in Python or TypeScript/Node.js, that hold data and permissions as a source of truth and expose clean APIs other domains across Ebury consume. Our Client Service platform is the current flagship example: upgrading it into a default core service for client data instead of letting that logic accumulate in Salesforce. Lead migrations that retire our reliance on legacy integrations, for example the Salesforce-to-BOS sync, serving data directly from purpose-built services with clear data contracts and source-of-truth boundaries. Move complex domain logic (for example Lending, Underwriting and Trade Finance workflows) out of Salesforce configuration and into purpose-built platforms, cutting the complexity that lives in the CRM today. Design new services with teammates and engineering leaders through the Request For Comments (RFC) process. Take full ownership under the "You build it, you own it" philosophy, covering both development and maintenance. Build production-grade AI: automated chat responses and deterministic workflow triggers, integrating LLMs (Claude / Gemini) so Ops agents handle exceptions, not routine cases. Help stand up durable orchestration (Temporal) that domain teams migrate their processes onto. Build and operate services with standard APIs, monitoring, alerting, observability, idempotency and external-system integration. Collaborate across cross-functional teams, including product managers, designers and other engineers, to deliver robust features and products across the full software development lifecycle. Contribute to technical discussions and architectural design reviews, and uphold engineering best practices through rigorous code reviews, automated testing and CI/CD. Write testable code with good coverage, and ship through CI and Terraform-managed infrastructure. Leverage the latest AI tools to augment your skills and accelerate delivery. We champion their responsible use: you must be able to fully understand and own any code or solution you produce. Communicate clearly in English, written and spoken. Stay current with emerging technologies and practices. Required Qualifications Strong knowledge of algorithms, object-oriented and functional design, and best-practice patterns. Bachelor's or Master's in Computer Science or a related field, or equivalent experience. 5+ years backend software engineering (Senior) / 7+ years with crossdomain architectural impact (Staff), with solid distributed-systems and cloud-native depth. Competency, attitude and ability matter more to us than a precise number of years. Experience working in fintech or within the financial services industry. Backend depth: production backend services covering data modeling, API design, async patterns, idempotency, and failure modes in microservices. This is the core capability we're hiring for. We build new services in both Python and TypeScript/Node.js, and strong depth in either (with willingness to work across both) is what we're looking for. Source-of-truth systems design: you reason clearly about source-of-truth and data-contract boundaries, what a core service owns versus what it merely integrates with, and synchronous vs asynchronous trade-offs and consistency. Platform mindset: you enjoy building reusable services that other teams depend on, and you're motivated by reducing complexity and moving logic out of a CRM rather than adding more into it. AI literacy: experience integrating LLMs into production, or strong readiness to apply RAG, prompt engineering and model evaluation within strict data-access boundaries. Fullstack range: comfortable contributing to React frontends for operational tooling, and you own features end-to-end. Strong communication and influencing skills, including writing and responding to RFCs and building alignment across teams. Nice to have: Hands-on experience with durable orchestration or workflow engines such as Temporal, including state machines and exactly-once execution. Experience integrating LLMs into production (RAG, prompt engineering, model evaluation) within strict data-access boundaries. Familiarity with cloud platforms (AWS, GCP) and containerisation technologies (Docker, Kubernetes). Experience with Domain-Driven Design (DDD) and standardising communication patterns in a service-oriented architecture. Salesforce context, enough to migrate logic off the platform cleanly. You don't need to be a Salesforce developer. Contributions to open-source projects or a personal portfolio demonstrating technical curiosity and skill. What We Offer Competitive salary and benefits package Discretionary bonus based on performance Being part of a dynamic environment with global exposure Continued personal development through training and certification GitHub Copilot and Claude Code licenses for all engineers, plus continued personal development through training and certification Ready to launch your career with a global FinTech? Click the ‘Apply’ Today and discover your potential at Ebury! At Ebury Bank we value diversity in all its forms and are committed to creating an inclusive environment. All of our vacancies are open and eligible for people with disabilities. #LI-RS1 #LI-HYBRID About us Ebury delivers sophisticated, integrated solutions — business accounts, hedging, and financing — on a single platform with a seamless workflow. Our success is built on a simple premise and singular purpose: To help businesses operate and scale globally. Since its founding in 2009, Ebury has always been a fast-growing leader in fintech. Today, we bring together 2000+ Eburians across nearly 70 cities and we’re always looking to add to our team. At the heart of our offering is a proprietary platform, purpose-built to help businesses seamlessly s