Lead Software Engineer – Observability Event Alert UK – Java Full Stack

Overview

In this role you will lead key modernization efforts to transform firm-wide alerting and event-routing infrastructure from a legacy monolith to a cloud-native microservices platform. You will collaborate with engineering, SRE, product, and controls to deliver resilient systems and an AI-powered monitoring tool for intelligent event enrichment and root-cause analysis. You will apply deep Java/Spring Boot expertise to raise engineering standards and scale critical capabilities. This is a chance to shape the future of observability and incident response at a major financial institution.

Pay / Benefits

• comprehensive health care coverage
• on-site health and wellness centers
• retirement savings plan
• backup childcare
• tuition reimbursement
• mental health support

Responsibilities

• Lead migration from legacy monolith to containerized microservices architecture with decomposition strategy and data migration planning
• Re-architect infrastructure for high scalability and availability across multi-AZ/region patterns, autoscaling, HA/DR
• Develop end-to-end backend services and APIs (REST/GraphQL) in Java/Spring Boot; contribute to UI where needed
• Design and implement event-driven systems and streaming workflows (e.g., Kafka) with robust topic/schema design
• Improve production services quality; review and improve others’ code
• Drive performance, resiliency, and scalability improvements for firmwide alerting and event routing; define SLOs/SLIs and optimize latency
• Collaborate with product, SRE/operations, and controls to ensure reliable adoption and effective incident response
• Explore AI for Ops approaches; drive POCs and data-driven adoption
• Lead architecture discussions with internal teams and vendors; promote modern engineering and observability practices
• Foster team culture of diversity, inclusion, and responsible AI adoption

Key requirements

• Significant professional software engineering experience at Lead level
• Hands-on system design, application development, testing, and operational stability for distributed systems
• Advanced proficiency in Java and building microservices with Spring Boot
• Backend-focused with ability to contribute across layers, including UI collaboration when needed
• Proficiency in automation and CD/CI pipelines
• SDLC expertise across requirements, design, coding, testing, deployment, and support
• Advanced understanding of agile practices, CI/CD, resiliency, and security
• Cloud-native experience deploying containerized microservices in the cloud
• Working knowledge of relational databases (Oracle)
• Experience leading AI-assisted development tools and setting validation standards for AI outputs
• Strong emphasis on secure coding, peer review, automated testing, and reuse of patterns
• Experience coaching engineers on safe, compliant adoption of AI in delivery practices

• Cross-functional collaboration
• Mentoring and leadership
• Effective communication with product, operations, and controls
• Java
• Spring Boot
• REST/GraphQL

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