Role at a glance
- Job function
-
Software Engineering & IT Full-Stack Engineering
- Salary
- Not Disclosed
- Location
- Belfast United Kingdom, United Kingdom
- Work arrangement
- Hybrid
- Employment
- Full-time
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Role Summary
The Full Stack Lead Architect leads the design and delivery of enterprise applications and platforms across cloud, data, and AI. The role drives modernization and engineering practices while providing technical leadership and partnering with business and technology teams.
What You'll Do
- Lead architecture, design, and delivery of enterprise applications using Java, microservices, frontend frameworks, and cloud-native...
- Define technology strategy and roadmaps for application modernization, AI adoption, and platform engineering.
- Design and implement scalable data solutions using Snowflake, Databricks, and data lakehouse architectures.
- Drive integration of AI and GenAI capabilities, including LLMs, RAG frameworks, AI agents, and intelligent automation.
- Establish engineering standards and practices for SDLC, observability, resiliency, and security.
- Lead technical reviews and solution governance, manage critical production issues, and mentor engineers across teams.
Generated from the employer's posting. Verify important details before applying.
View full postingQualifications
Requires software engineering experience with strong enterprise application architecture expertise and proven experience leading large-scale technology initiatives and distributed engineering teams. Technical expertise includes Java 17+, Spring Boot, microservices, Angular and/or React, REST APIs, event-driven architecture, Kafka, Solace, Redis, Hazelcast, Oracle, MongoDB, Snowflake, Databricks, Spark, Azure and/or AWS, Docker, Kubernetes, OpenShift, Git, Jenkins, Azure DevOps CI/CD, and AI-assisted development tools. Requires experience building AI-enabled applications using LLMs, RAG architectures, AI agents, vector databases, and prompt engineering, plus data-driven application development using Snowflake and Databricks.
Preferred
- Banking / Financial Services experience.
- Experience with Data Lake, Lakehouse, and Analytics platforms.
- Knowledge of OAuth2, JWT, Zero Trust, and API Security standards.
- Experience with observability platforms such as Grafana, Dynatrace, Splunk, Prometheus, or OpenTelemetry.
Original job description
Content provided by the employer
Original job description
Content provided by the employer
We are seeking a hands-on Full Stack Lead Architect to lead the design and delivery of enterprise-scale digital platforms across cloud, data, and AI ecosystems. The role combines deep technical expertise in Java, Microservices, Angular/React, Snowflake, Databricks, Cloud Technologies, and AI-enabled solutions with strong leadership, architecture, and stakeholder management capabilities.
The successful candidate will drive modernization initiatives, establish engineering standards, mentor development teams, and partner with business and technology leaders to deliver scalable, secure, and data-driven solutions.
Key Responsibilities
- Lead architecture, design, and delivery of enterprise applications using Java, Spring Boot, Microservices, Angular/React, and Cloud-native technologies.
- Define technology strategy and roadmap for application modernization, AI adoption, and platform engineering.
- Design and implement scalable data solutions leveraging Snowflake, Databricks, and modern data lakehouse architectures.
- Drive integration of AI/GenAI capabilities, including LLMs, RAG frameworks, AI Agents, and intelligent automation solutions.
- Architect event-driven systems using Kafka, Solace, and distributed caching technologies.
- Establish engineering standards, SDLC best practices, observability, resiliency, and security controls.
- Collaborate with Architecture, Product, Data Engineering, Infrastructure, Security, and Business teams globally.
- Lead technical reviews, solution governance, and critical production issue management.
- Mentor engineers and provide technical leadership across multiple teams.
Required Qualifications
- Software engineering experience with strong expertise in enterprise application architecture.
- Proven experience leading large-scale technology initiatives and distributed engineering teams.
Technical Expertise
- Java 17+, Spring Boot, Microservices
- Angular and/or React
- REST APIs and Event-Driven Architecture
- Kafka, Solace, Redis, Hazelcast
- Oracle, MongoDB, Snowflake
- Databricks, Spark, Data Engineering concepts
- Azure and/or AWS Cloud Platforms
- Docker, Kubernetes, OpenShift
- Git, Jenkins, Azure DevOps CI/CD
AI & Modern Engineering
- AI-assisted software development tools (GitHub Copilot, AI coding platforms)
- Experience building AI-enabled applications using: LLMsRAG ArchitecturesAI AgentsVector DatabasesPrompt Engineering
- Data-driven application development using Snowflake and Databricks.
Preferred Qualifications
- Banking / Financial Services experience.
- Experience with Data Lake, Lakehouse, and Analytics platforms.
- Knowledge of OAuth2, JWT, Zero Trust, and API Security standards.
- Experience with observability platforms such as Grafana, Dynatrace, Splunk, Prometheus, or OpenTelemetry.
Leadership Expectations
- Provide technical leadership across multiple teams and strategic initiatives.
- Drive architecture decisions and engineering excellence.
- Influence senior stakeholders and technology leadership.
- Foster innovation through AI, cloud, and data modernization initiatives.
- Build high-performing global engineering teams through coaching and mentorship.
Success Profile
The ideal candidate combines:
- Strong Full Stack Architecture experience.
- Cloud and Platform Engineering expertise.
- Snowflake and Databricks leadership.
- AI/GenAI solution delivery experience.
- Strategic thinking with hands-on execution capability.
- Strong ownership, communication, and stakeholder management skills.
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Job Family Group:
Technology------------------------------------------------------
Job Family:
Applications Development------------------------------------------------------
Time Type:
Full time------------------------------------------------------
Most Relevant Skills
Please see the requirements listed above.------------------------------------------------------
Other Relevant Skills
For complementary skills, please see above and/or contact the recruiter.------------------------------------------------------
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If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi.
View Citi’s EEO Policy Statement and the Know Your Rights poster.
About the company
Citi
Large Enterprise
Citi is a global financial services corporation that offers a wide range of financial products and services, including consumer banking, credit, investment banking, and wealth management. With a presence in nearly 100 countries, Citi serves millions of customers, from individuals and small businesses to large corporations and governments. The company is dedicated to innovation and sustainability, actively working to support economic growth while addressing environmental and social challenges. Citi’s commitment to providing exceptional service and fostering diverse talent makes it a prominent choice for students aspiring to build a career in finance and banking.