London Stock Exchange Group

Java/Spring AI Technical Architect

London Stock Exchange Group
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5 months ago
Bucharest, RomaniaStaff+

Responsibilities

  • Design modern, modular, AI-optimized software systems and guide engineering teams across the full solution lifecycle.
  • Drive decisions on system decomposition, modularity, interoperability, domain boundaries, event architecture, and architectural governance.
  • Use Java, Spring Boot, Spring Modulith, jMolecule, and ArchUnit to build modular, testable enterprise services and enforce architectural rules.
  • Design cloud-native systems and data platforms using relational, document, search, vector, object-storage, and event or streaming data technologies.
  • Define database architecture practices covering schema design, query tuning, indexing, partitioning, replication, high availability, disaster recovery, data residency, consistency, and backup and restore.
  • Develop AI-assisted engineering workflows involving prompt engineering, spec-driven development, AI agents, MCP-compatible tooling, documentation, code generation, refactoring, and design review.
  • Apply vector databases and RAG patterns, including embeddings, chunking, indexing, retrieval, and grounding AI outputs in enterprise data.
  • Mentor and upskill engineers, lead improvement initiatives, champion modern engineering practices, and share expertise through forums and workshops.
  • Balance innovation with security, resilience, auditability, and risk control while building Capital Markets domain understanding.

Requirements

  • Significant experience as a software developer and as a senior hands-on architect.
  • Expert Java and Spring Boot experience building modular, testable enterprise services.
  • Strong knowledge of APIs, distributed systems, modular architecture, data design, scalability, resilience, and observability.
  • Experience with Spring Modulith, jMolecule, ArchUnit, domain-driven design, events, asynchronous patterns, CQRS, or event sourcing.
  • Deep expertise in relational databases and managed RDS platforms, including PostgreSQL and cloud-native variants.
  • Strong understanding of transactional stores, document databases, search engines, vector stores, object storage, and event or streaming data layers.
  • Expertise in schema design, query tuning, indexing, partitioning, replication, high availability, disaster recovery, data residency, transaction consistency, and backup and restore.
  • Hands-on experience with vector databases and RAG patterns, including embeddings, chunking, indexing, retrieval, and grounding AI outputs in trusted enterprise data.
  • Experience applying spec-driven development, prompt engineering, AI agents, and MCP-compatible tooling to engineering workflows.
  • Ability to mentor engineers, communicate complex technical topics clearly, operate autonomously, and lead cross-team improvement initiatives.

Benefits

  • 25 days of annual holiday and one additional birthday day off.
  • Annual wellness allowance, medical health insurance, preventive medical subscription, dental coverage, and life insurance.
  • Pillar 3 private pension, meal vouchers, flexible benefits, and Bookster access.
  • Share Purchase Plan, volunteering events, learning tools, and personal development support.
  • At least 26 weeks of paid parental leave for eligible colleagues with at least one year of continuous service, subject to company policy and guidelines.
  • Global, collaborative workplace with sustainability initiatives, wellbeing support, healthcare, retirement planning, and paid volunteering days.

Tech Stack

AWSElasticsearchJavaMongoDBPostgreSQLSpring Boot
London Stock Exchange Group

About London Stock Exchange Group

10,000+ employees

London Stock Exchange Group (LSEG) provides market infrastructure, financial data, and analytics to banks, asset managers, and corporations. Its businesses span capital markets (London Stock Exchange), post-trade clearing (LCH), and information services including FTSE Russell indices and the Refinitiv data platform, funded by transaction fees, subscriptions, and licensing. Headquartered in London and publicly listed on the LSE, the group serves global customers seeking trading, clearing, benchmarks, and enterprise data solutions.

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