Senior Agentic AI Full-Stack Software Engineer; Java & React​/Javascript​/Angular​/Claude Code​/Codex

Senior Agentic AI Full-Stack Software Engineer (Java & React / JavaScript / Angular / Claude Code / Codex)

Would you like to help create products to support the sharing of scientific knowledge? Do you enjoy collaborating to solve complex technical problems?

Our dynamic Agile Teams deliver the technology that facilitates researchers to publish quality scientific research. As a Software Engineer, you will build capabilities to improve the quality of scientific research.

As a Senior II Software Engineer, you will build capabilities to support scientific researchers through the process of submitting the research for publication. We are continually evolving our technology in response to researchers’ needs and to the ever-changing technical landscape, including the use of AI technologies.

• Designing, developing, and deploying applications in a cloud-hosted distributed system to build our next‑generation product
• Collaborating with business stakeholders to identify requirements and gather feedback in a fast‑moving environment.
• Providing input into architectural decisions to ensure stability and performance
• Identifying and implementing enhancements to continually improve our delivery process
• Partnering with cross‑functional Agile and Dev Ops implementation teams

We know it, and we’re excited about it. AI‑assisted and agentic development is reshaping what engineers do day to day. We will allow good engineers to build and evolve their skills into the roles of the future.

• Technical Core Engineering Stack:
  Proficiency in most of our core technologies (Java, Spring / Spring Boot, JavaScript / Type Script frameworks such as React or Angular, and SQL), with a willingness to learn others.
• Experience with Python is desirable but not essential.
• Agentic Engineering:
  Proven experience using agentic coding workflows and modern AI tools (e.g., Copilot, Claude, Codex, Cursor) to plan, build, refactor, and document complex systems. You can discuss the role of judgement in agentic engineering: when to delegate to an agent, how to verify its output, and where human accountability remains.
• AI‑Assisted Troubleshooting:
  Experience using AI tools to analyse metrics and logs across observability platforms (e.g., New Relic, Open Search / Kibana, Coralogix).
• Cloud & Delivery:
  Familiarity with containerised, distributed cloud environments (e.g., Docker, Kubernetes, AWS), Infrastructure as Code (Terraform), and CI/CD pipelines (e.g., Git Hub Actions, Jenkins), alongside solid version control (Git).

• Rapid Learning: A proven track record of learning new skills effectively and rapidly.
• Mentorship & Leadership:
  Actively mentors and teaches junior engineers, and actively drives discussions to improve working practices and code quality.
• Collaboration:
  
  Real‑world Agile experience (Scrum/Kanban) and clear communication across disciplines, including product and UX.

• Ownership & Judgement:
  Takes responsibility, solves problems, makes decisions, and weighs risks, including when working with AI tools and agents.
• Curiosity & Product Mindset:
  Stays aware of what's happening in the industry, and takes a genuine interest in the domain and the business.

Join our team and contribute to a culture of innovation, collaboration, and excellence. If you are ready to advance your career and make a significant impact, we encourage you to apply.

We promote a healthy work/life balance across the organization. We offer an appealing working prospect for our people. With numerous wellbeing initiatives, shared parental leave, study assistance and sabbaticals, we will help you meet your immediate…