Senior Engineer 27 Goswell Rd., Barbican, London EC1M 7AN

About Us

Duco is on a mission to reduce the time spent on data-related work by 90%. Our enterprise data automation platform empowers teams to work more efficiently and meaningfully by giving them the ability to automate data controls with the latest technology, such as no-code, the cloud, and AI. We help firms to start trusting their data, by giving them one intuitive platform to automate the front-to-back processing of all kinds of data (from structured Excels and RTFs to unstructured PDFs and emails). This eliminates the boring manual work across the data lifecycle and enables firms to act faster, work smarter, save money, reduce risk and comply with regulatory requirements.

We’re headquartered in London and have offices in New York, Wroclaw, Singapore, and Antwerp. We’re proud to call some of the largest global financial institutions our clients, including over 15 of the world’s largest international banks, as well as brokers, exchanges, asset managers, hedge funds, administrators, service providers and corporates.

About the role

You will work in one of our cross-functional, empowered engineering teams. Each team owns its part of the product and makes decisions jointly, alongside Product, Sales and other customer advocates. You won't just build what someone else specifies; you will create new solutions to difficult problems and help take the platform to the next level.

As a Senior Engineer, you will be a subject matter expert across multiple areas of the platform, involved in cross-team technical design, and independently responsible for the full lifecycle of the projects you deliver. At this level we expect your impact to reach beyond your own work: lifting your immediate team, and raising the bar across engineering as a whole through technical leadership, reviews and mentoring.

We also want you to help shape how we build. AI is already core to our product, and it is changing how we engineer software just as fast. We want someone with the curiosity and judgement to help us adopt it well, across how the whole team designs, builds, tests and ships.

Working with AI at Duco

We see AI as a genuine lever for how good teams build software, not a gimmick. We have made a strong start, with much more to build. A growing part of that is harness engineering: designing the environments, constraints and feedback loops that let AI coding agents work reliably at scale, so engineers shift from writing every line to designing the systems that govern how agents write code. It is a chance to apply what you know and keep learning as we build the future.

In this role you will:

• Use AI tools effectively in your own work, from writing and reviewing code to debugging and documentation.
• Help shape our pipelines and harness: guides, validation loops, test generation, CI/CD and quality gates that make AI-assisted work reliable for the whole team.
• Bring ideas, and a healthy scepticism for hype, on where AI adds real value and where it does not.
• Champion safe, responsible use that respects code quality, security, data handling and our engineering standards.

You need not have done all of this before. Curiosity, judgement and a few real examples will go a long way.

What you will be working on

• Deliver features into the core product, across all areas of the technology stack.
• Own the full lifecycle of your work: design, development, deployment and ongoing support.
• Lead spikes and technical design for work that spans more than one team or domain.
• Code review your peers' contributions and give clear, constructive feedback.
• Tackle gnarly data manipulation and scaling problems with a team of very bright people.
• Mentor engineers and lift capability across the wider engineering function, including in how we use AI.

The Requirements

• Experience delivering and supporting resilient software that scales, in a multi-language, multi-technology stack.
• Deep experience with Java or another statically-typed language, and familiarity with a web framework (Spring Boot or Ruby on Rails).
• Strong skills in automated testing (unit, end-to-end, performance, stress) and a high bar for quality.
• Working knowledge of SQL and relational database concepts at scale, including performance optimisation.
• Technical or team leadership experience, with practical experience of service-oriented architectures and container-based deployment (e.g. Kubernetes, Helm).
• A genuine interest in using AI to improve software engineering, with ideas (and ideally hands-on experience) for applying it individually and across a team's pipeline.

Beneficial

• Aptitude with CI/CD pipelines (GitLab preferred) and cloud computing, preferably AWS.
• Experience with harness engineering or integrating AI / LLM-based tooling into a workflow or CI/CD pipeline, or with AI-assisted code review, test generation or developer productivity tooling.
• Experience of architectural migration (e.g. service extraction or refactoring) and feeding observability or metrics systems.

The Reward Package

• Private Medical Insurance and Healthcare Cash back Plan.
• 4* salary life assurance.
• Unlimited annual holiday, because we trust our people to manage their own time off.
• Enhanced family leave.
• Employee Assistance Programme.
• Cycle to Work and Tech Scheme.
• 4 Volunteering days off.
• Flexible working policy (2 days per week in office).
• Opportunity to work abroad for up to 6 weeks per year.
• Personal learning and development opportunities.
• Referral bonus if we hire someone great who you’ve recommended to us.
• Spot Rewards.
• Employee of the Month and Employee of the Year awards.

Disclaimer

Because we are committed to inclusivity, we strive to provide equitable opportunities for everyone. If you require accommodation during the recruitment process, please let us know at [contact information]. Include your contact information, the role you're applying for, and how we can accommodate you. During the interview process and after hire, Duco does not discriminate on the basis of race, colour, gender or gender expression, sexual orientation, marital or pregnancy status, national origin, age, disability, religion or creed, socioeconomic background or status, size, or any other protected characteristic.