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**Lead Software Engineer — Portfolio Insights Platform, Wealth Management** As a Lead Software Engineer in Connect Wealth's Portfolio Insights Construction team, develop real-time data platforms serving wealth management advisors. Collaborate cross-functionally to deliver alerting, analytics, and client dashboards, ensuring high-quality Java/Spring Boot and Python/Lambda code. Shape team culture, drive excellence, and enhance platform reliability. Requires advanced Java/Spring Boot experience, AWS cloud-native skills, and familiarity with wealth/advisory data. Experience with Snowflake, React/TypeScript, and AI-assisted development is preferred.

Compensation: Not specified
City: London
Country: United Kingdom

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Location: LONDON, LONDON, United Kingdom

Introductory Marketing Language:
Are you ready to make a difference in Wealth Management technology? At Connect Wealths Portfolio Insights Construction team, youll help build platforms that empower advisors and clients. Youll work with cutting-edge tools, collaborate with talented colleagues, and drive meaningful change across the firms advisory business. We value creativity, inclusivity, and your unique perspective. Discover a place where your skills and ideas can thrive.

Job Summary:
As a Lead Software Engineer in Connect Wealths Portfolio Insights Construction team, you will play a pivotal role in developing and maintaining platforms that serve position and account data for Wealth Management advisors. You will collaborate with cross-functional teams to deliver real-time alerting, portfolio analytics, and client-facing dashboards. Youll help shape the team culture, drive technical excellence, and ensure the platforms reliability and impact. Your contributions will directly influence how advisors and clients experience our services.

Job Responsibilities:

Execute creative software solutions across ingestion, resolution, and serving layers of the platform

Design, develop, and troubleshoot technical challenges, breaking down complex data-reconciliation problems

Develop secure, high-quality production code in Java/Spring Boot and Python/Java Lambdas

Review and debug code, including cross-service and cross-repo changes

Drive adoption of enterprise-authorized AI-assisted engineering practices and establish validation standards for AI-generated code

Apply SDLC toolchain and AI-assisted development capabilities to improve delivery velocity

Identify and automate remediation of recurring operational issues to enhance platform stability

Lead evaluation of architectural approaches for data-platform challenges and drive technical discussions with internal teams

Job Responsibilities:

Execute creative software solutions across ingestion, resolution, and serving layers of the platform
Design, develop, and troubleshoot technical challenges, breaking down complex data-reconciliation problems
Develop secure, high-quality production code in Java/Spring Boot and Python/Java Lambdas
Review and debug code, including cross-service and cross-repo changes
Drive adoption of enterprise-authorized AI-assisted engineering practices and establish validation standards for AI-generated code
Apply SDLC toolchain and AI-assisted development capabilities to improve delivery velocity
Identify and automate remediation of recurring operational issues to enhance platform stability
Lead evaluation of architectural approaches for data-platform challenges and drive technical discussions with internal teams

Required Qualifications, Capabilities, and Skills:

Formal training or certification in software engineering concepts
Advanced hands-on experience with Java and Spring Boot in a microservices architecture
Practical experience with AWS cloud-native patterns: Lambda, Step Functions, Terraform-managed infrastructure, and relational databases at scale
Working knowledge of event-driven systems, including Kafka producers/consumers and consumer groups
Demonstrated experience leading effective use of approved AI-assisted development tools, with strong validation skills for AI output
Strong understanding of responsible AI use in engineering workflows, including data sensitivity and secure handling
Proficient across the full SDLC, with advanced understanding of agile delivery, CI/CD, application resiliency, and security practices
In-depth knowledge of financial services IT systems, ideally wealth/advisory data

Preferred Qualifications, Capabilities, and Skills:

Experience with Snowflake or other enterprise data mesh/warehouse platforms
Python for data and Lambda workloads alongside a primarily Java stack
Exposure to React/TypeScript for full-stack context on services with UI consumers
Experience diagnosing production data-consistency issues across multiple source-of-truth systems

If youre looking for a collaborative environment where your expertise is valued and your growth is supported, Connect Wealth offers the opportunity to make a real impact. Join us and help shape the future of Wealth Management technology.

: Join us to shape innovative solutions for Wealth Management advisors, driving impactful technology and advancing your career.

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