Graduate Software Engineer

Landbay; Greater London; Hybrid; GBP 35,000 - 52,000; Full time

Benefits offered by this job

Health insurance

Flexible work from home

Generous holiday entitlement

Life Insurance

Job summary

Landbay, a leading mortgage platform in the UK, is hiring a Graduate Software Engineer in London. You will work on production systems with AI-assisted tools, mentor-mentee pairing, and take ownership of software and infrastructure as you grow.

The role spans application code, APIs, cloud infra, Kubernetes, CI/CD, observability, security and production support, with a collaborative team and strong peer feedback.

Qualifications

• Good practical Java experience from degree work, a placement, internship or substantial project.
• Comfort with everyday Git: commits, branches, merges and conflict resolution.
• Basic Linux command line and shell scripting basics.
• Strong foundations in data structures, algorithms, testing and REST APIs.
• Experience designing and building a meaningful software project and explaining trade-offs.

Responsibilities

• Contribute to real production systems with modern AI-assisted development tools.
• Own software and infrastructure you create with team support over time.
• Collaborate with senior engineers through pairing and code reviews.
• Help evolve a substantial platform delivering buy-to-let mortgage experiences.

Skills

Java

Git

Linux CLI

Algorithms

REST APIs

Problem solving

Team collaboration

Education

Bachelor's degree in Computer Science or related

Tools

Spring Boot

Docker

Kubernetes

AWS

OpenTelemetry

Grafana

Job description

We are an award-winning mortgage platform, created for our customers, designing better ways to buy-to-let. Our vision is to become the ‘go-to’ funding partner in the private rental sector.

At Landbay, we focus on the customer, and we bring together the best people and partners, leveraging our data, technology, and market expertise – to give people what they really need. Today we are the UK’s leading prime Buy-to-let marketplace mortgage lender having lent circa £4bn in partnership with our funding partners.

Join Landbay and you’ll be part of a growing, ambitious, and supportive team, where everyone is encouraged to contribute, regardless of background or experience. Our team, our community, and the wider world matters to us, as much as the work we do. We’re building a company we love, and we hope you’ll love it too.

For more information about Landbay please visit our website : https://landbay.co.uk/about-us

The Role

We are looking for a curious and capable Graduate Software Engineer who wants to work on real production systems with experienced engineers and modern AI-assisted development tools. This is not a narrow backend role: you will build depth while gaining experience across application code, APIs, event-driven systems, testing, cloud infrastructure, Kubernetes, CI/CD, observability, security and production support.

You will benefit from strong peer mentorship through pairing, code review and regular technical feedback. We put a strong emphasis on collaboration, ensuring senior engineers help develop less experienced colleagues. Our “you build it, you run it” approach means you will own all software & infrastructure you create, taking greater ownership with the team’s support as time goes on.

You will help evolve a substantial platform, creating excellent buy-to-let mortgage experiences and internal tools for lending, finance and servicing. The work can simplify applications, improve automated decisioning, strengthen financial controls and support borrowers through thoughtful integration and automation.

Our Java and Spring Boot platform runs on AWS with Docker, EKS/Kubernetes, FluxCD, Helm, infrastructure as code, Kafka, OpenSearch, MariaDB/RDS, REST APIs, GitLab CI/CD, OpenTelemetry, Prometheus and Grafana Cloud. We take every opportunity to simplify our microservice platform to ensure we remain nimble at all times and can deliver at pace to the business. You are not expected to know this stack on day one.

You will learn to use AI coding tools and agents for understanding code, designing changes, improving tests, investigating failures and refactoring. Over time, you are also likely to contribute to projects integrating AI models into our platform to reduce manual work and make complex information easier to use. AI increases what a good engineer can accomplish; it does not replace judgement, debugging, testing, security, privacy or responsibility for production code.

Skills & Experience

We value strong foundations, analytical ability and applied learning. Degree work, placements, internships, open-source contributions and substantial personal or team projects help evidence these.

• Good practical Java experience from degree work, a placement, internship or substantial project, including object-oriented programming, collections, exceptions and readable code.
• Comfort with everyday Git: commits, branches, merges and straightforward conflict resolution.
• Basic Linux command-line and shell scripting, including files, pipes, redirection, processes, environment variables and simple automation.
• Sound foundations in data structures, algorithms, testing, relational databases, networking, HTTP and REST APIs.
• Experience designing, building and testing a meaningful software project, and explaining its decisions and trade-offs.
• Methodical problem solving and debugging,
• Curiosity about how complex systems are designed, maintained and developed further.
• A collaborative approach: asking questions, sharing ideas and being receptive to feedback so that you and the wider time are constantly striving for excellence.

Useful to have encountered

Experience with any of the following is helpful, but not required:

• Spring Boot, contract-first APIs, build tools and wider automated testing.
• GitLab/CI/CD, Docker, cloud platforms, Kubernetes or infrastructure as code.
• Event-driven systems, search technology, relational databases or observability.
• AI-assisted development tools or coding agents.

Location & Logistics

Position is based in Victoria, central London, reporting to one of the teams’ senior Scrum Masters.

The Application Process

Shortlisted candidates will complete an HR screening and tech challenge followed by a two-stage interview with the team.

Company benefits

• Generous holiday entitlement
• Flexibility to work from home up to 3 days per week
• Health insurance
• Enhanced family leave, including maternity and paternity leave
• Life Insurance
• Optional team events and employee-led activities, including wine and games clubs