Full-Stack Engineer
We are currently building out a number of engineering pods within the Custody business – and are looking to bring in graduate engineers at the start of their careers who are genuinely excited about software craft and the intersection of technology and finance.
The role is full‑stack with a strong Java backend emphasis, working within agile teams that own the full product lifecycle – from design and build through to deployment, observability, and iteration.
You’ll work primarily on the backend while contributing to modern web frontends, owning delivery across the product lifecycle and collaborating closely with product and design partners.
This role is located in Manchester.
Key Responsibilities
- Design, build, and maintain backend services, batches, and APIs, contributing to UI components as needed.
- Own end‑to‑end delivery: implementation, testing, deployment, observability, and reliability.
- Write clean, well‑tested code; participate in code reviews and continuous improvement.
- Collaborate with product, design, and operations to translate business needs into technical solutions.
- Enhance performance, security, and resiliency through best practices and automation (CI/CD).
- Foster a learning, inclusive team culture aligned to BNY’s principles and pillars.
Key Qualifications
- Hands‑on AI development using modern tools and IDEs (e.g. Windsurf).
- Solid understanding of programming concepts and microservices.
- Proficiency in Java with Spring.
- Experience with CI/CD, automated testing (JUnit/Spock), and containers (Docker).
- Familiarity with microservices, observability/telemetry (e.g. Splunk, AppDynamics), and cloud deployments.
- Curiosity to understand the business domain and translate product strategy into technical solutions.
- Master’s degree in Computer Science, Artificial Intelligence, or a related field, ideally with industrial placement or internship experience.
- Open‑source contributions or evidence of self‑initiated projects that demonstrate genuine innovation.
- Curious about AI‑assisted development tooling (e.g., Windsurf, Codex, Claude).
How We Work
Agile (Scrum/Kanban) tailored by teams for flow and outcomes; full product lifecycle ownership (build, test, deploy, monitor, iterate); growth mindset with continuous learning and knowledge sharing.
Technology stack includes Java 17/21 (Spring, Maven), Groovy, JavaScript/TypeScript (Angular); testing with JUnit, Spock; deployment on Private Cloud (VMs/containers); tooling with GitLab (git and CI/CD), IntelliJ, Windsurf, Docker, Splunk, AppDynamics.
