> Markdown version of [/jobs/ext/2726827-forward-deployed-engineer](https://www.wearedevelopers.com/jobs/ext/2726827-forward-deployed-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Forward Deployed Engineer - **Company:** Ophelos - **Location:** London, UK - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Amazon Web Services, Applicant Tracking Systems, Business Logic, Python (Programming Language), PostgreSQL, Ruby on Rails, Software Tools, Ruby, Data Streaming, TypeScript, Workflow Management Systems, Datadog, Data Storage Technologies, Data Ingestion, Large Language Models, Backend, Fastapi, Kubernetes, Cloudflare, Google Meet, Databricks - **Published:** September 5, 2026 - **Apply:** https://startup.jobs/forward-deployed-engineer-ophelos-8610698 ## About the Role You're a systems thinker with technical depth and strong commercial instincts. You've probably worked in fintech, financial services, or enterprise SaaS - in a role that required you to get inside a client's world, understand it thoroughly, and design solutions that actually fit. You might come from a solutions engineering, implementation consulting, or technical architecture background. What matters is that you're equally comfortable shaping a solution design and getting hands-on with the data or configuration to make it real. You're energised by variety - different clients, different markets, different problems - rather than unsettled by it. You'll likely have: * Experience in a solutions architect, forward-deployed engineer, technical consultant, or implementation lead role - ideally at a fintech, payments, or financial services company * Strong systems thinking: you naturally map business processes, data flows, and client-specific logic into coherent technical designs * Comfort with data - understanding schemas, transformation logic, validation rules, and ingestion pipelines at a practical level * Experience navigating regulatory or compliance requirements that vary across markets, sectors, or client types * The ability to communicate complex technical concepts clearly to non-technical stakeholders, and business context clearly to engineers * A structured approach to discovery: you ask good questions, document rigorously, and turn ambiguity into clarity * Willingness to travel regularly across Europe (primarily UK, France, and Portugal, with further markets to follow) Bonus points for: * Background in debt management, credit, collections, or payments - understanding the domain accelerates everything * Working knowledge of French * Experience onboarding multiple enterprise clients with divergent data models or business logic onto a shared platform * A track record of feeding structured product feedback from deployments back into a product organisation ## Description You'll need to develop deep familiarity with our stack - not necessarily to build core features, but to understand its capabilities, constraints, and integration surface thoroughly: * Languages: TypeScript, Python, Ruby * Backend frameworks: FastAPI, Ruby on Rails * Data: PostgreSQL (via PlanetScale), Databricks * Workflow orchestration: Temporal * Financial ledger: TigerBeetle * Infrastructure: AWS, Kubernetes * Observability: Datadog * LLM tooling: Claude Code, OpenSpec, Codex, Supporting customers and businesses to improve their financial health is a long-term mission. Our company values act as our north star, steering our every move as an organisation and are the backbone of our unique company culture. Our values and culture allow us to stay true to our larger purpose, even as we continue to grow at a rapid pace. Customers and Clients first - We exist to help real people move through debt and to get clients paid back. This commitment drives how we design products, deliver services, and interact with customers and clients daily., Your personal data will be processed for the purposes of managing Controller's recruitment-related activities, which include reviewing applications, setting up and conducting interviews and tests, evaluating and assessing the results, and as is otherwise needed in the recruitment and hiring process. As part of this process, we use software tools - including AI-assisted tools - to help us organise, screen, and evaluate applications and interviews. This includes: * Automated analysis of CVs and application materials to identify relevant skills and experience * Automated analysis of interview transcripts to help summarise and score responses (see "Interviews" below) * Generating scores, summaries, or insights to assist our recruiters Currently, these AI-assisted outputs are advisory only. A human recruiter reviews every application and every AI-generated score or summary before any decision is made, and no application is filtered out or rejected by an automated process alone. We may in future use automated tools to make, or take part in making, decisions about your application without human review at that stage, if we do so in a way that complies with applicable law at the time - for example, by obtaining your explicit consent, or where the decision is necessary for entering into a contract with you, and in either case only with appropriate safeguards, including your ability to request human review of, and to contest, that decision. If we intend to introduce this, we will update this notice and separately inform you before it applies to your application - this notice alone does not authorise it. We also use historical, aggregated recruitment data to improve our processes generally - for example, to better understand which factors tend to be associated with successful hires. Where this involves data from past applicants, it is anonymised or aggregated before use, and is not used to make any decision about a specific individual. Such processing is legally permissible under Art. 6(1)(f) UK/EU GDPR as necessary for the legitimate interests pursued by the Controller: the solicitation, evaluation, and selection of applicants for employment, and the improvement of Controller's recruitment processes. Interviews - recording and transcription If you're invited to an interview conducted by video or phone call, it will be recorded and automatically transcribed as a standard part of our recruitment process - this is described in this notice, which applies to your application as explained above. Where an interview is recorded: * The interview will be recorded and transcribed using our video-calling provider (Google Meet). * The transcript will be processed by AI tools (including models provided by Anthropic and Google) to help generate a summary and structured notes for the interview panel, and to help train and improve our own recruitment tools as described above. * The recording, transcript, and any AI-generated summary will be stored on Ophelos's systems (hosted via Cloudflare) and in Greenhouse. * A human interviewer/panel always reviews the AI-generated summary as part of forming their own assessment - it is a starting point for the panel, not a decision in itself. Recording and transcribing interviews in this way is necessary for us to evaluate all candidates fairly and consistently, and is carried out under our legitimate interests (Art. 6(1)(f) GDPR) in running a fair, well-documented recruitment process. Who we share your data with Your personal data will be shared with the following processors, engaged by Controller to help manage its recruitment and hiring process: * Greenhouse Software, Inc. - applicant tracking system (United States) * Google LLC - video interview hosting/recording (Google Meet), and AI models used to help analyse application and interview materials (United States) * Anthropic, PBC - AI models used to help analyse and summarise application and interview materials (United States) * Cloudflare, Inc. - infrastructure and data storage supporting our recruitment tools [confirm storage region before publishing] We use application and interview data, including through AI-assisted tools, to train and improve our own internal recruitment tools and models - for example, to refine how we identify relevant skills and experience, and to better understand what tends to be associated with successful hires. This is part of how we evaluate and improve our recruitment process on an ongoing basis. The third-party AI providers who process this data on our behalf do not use it to train their own general-purpose AI models - it is used only to generate the specific outputs described in this notice. International data transfers Because the above providers are located in or transfer data to the United States, if you are located outside the United States, your personal data will be transferred to the United States once you submit it or once your interview is processed. Where the European Commission has not made an adequacy determination covering such a transfer, it is subject to appropriate safeguards, including Standard Contractual Clauses and/or the EU-U.S. Data Privacy Framework where the recipient is certified. You can obtain a copy of the relevant safeguards by contacting support@ophelos.com. 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