Lead Software Engineer - AI/Java Full Stack
Salary not listed • GLASGOW, LANARKSHIRE, United Kingdom • Full-time
Posted 24d ago
Job Location
GLASGOW, LANARKSHIRE, United Kingdom
Tech Stack
Remote Work Policy
On-site
Employment Type
Full-time
Categories
AI Engineer
About the job
As a Lead Software Engineer within Corporate Technology, you will be a key technical leader responsible for designing, building, and delivering secure, scalable, and high-performing technology solutions. You will contribute across multiple domains, partnering with business and technology stakeholders to deliver strategic platforms that enable the firm’s objectives. This role involves leading the design, development, and delivery of innovative software solutions, building and maintaining high-quality, secure, and production-grade code, and driving architecture decisions to ensure scalability, resiliency, and zero-downtime deployments. You will also identify opportunities to automate operational processes and develop and implement data-intensive and statistical solutions using Java/Scala on large-scale datasets.
Responsibilities
- Lead the design, development, and delivery of innovative software solutions, solving complex problems with creative and forward-thinking approaches.
- Build and maintain high-quality, secure, and production-grade code, while mentoring and reviewing the work of other engineers.
- Drive architecture decisions to ensure scalability, resiliency, and zero-downtime deployments.
- Identify opportunities to automate operational processes and eliminate recurring issues, improving platform stability and efficiency.
- Develop and implement data-intensive and statistical solutions using Java/Scala on large-scale datasets.
- Design and build AI-enabled applications, including AI Agents and agentic workflows.
- Work across hybrid data ecosystems (AWS, Databricks, Kubernetes).
- Ensure code quality through unit testing, integration testing, and continuous validation practices.
- Collaborate with cross-functional teams to deliver end-to-end solutions aligned with enterprise standards.
Requirements
- Significant experience in software engineering with formal training or equivalent practical expertise.
- Strong proficiency in Java and Spring Boot, with working knowledge of SQL and modern front-end frameworks (e.g., React).
- Demonstrated experience in designing scalable, secure, and resilient distributed systems.
- Strong understanding of modern architecture patterns (microservices, event-driven, API-first).
- Experience with CI/CD pipelines, containerization (Docker, Kubernetes/ECS/EKS), and Infrastructure as Code.
- Expertise in API design (REST, GraphQL) and integration patterns.
- Hands-on experience building applications on AWS or other public cloud platforms.
- Experience with Generative AI systems, including RAG (Retrieval-Augmented Generation) architecture, AI orchestration frameworks (LangChain, LlamaIndex, etc.), and LLM evaluation frameworks and responsible AI practices (guardrails, content filtering).