Live opening · Posted 5 days ago

Lead Software Engineer — Portfolio Insights Platform, Wealth Management

JPMorgan Chase · LONDON, LONDON, United Kingdom
Oracle
You are 5 days behind. JobBeeper subscribers saw this role while it was still new.

At a glance

The key details from the original listing.

Posted 5 days ago
CompanyJPMorgan Chase
LocationLONDON, LONDON, United Kingdom
SourceOracle
Listed5 days ago

Your early-applicant advantage

Live timing from JobBeeper.

Live data
0 min from Oracle publishing this role to us finding it
5 min median time from a role going live to a subscriber being told
6 hours subscribers had this role before this page existed
74,154 roles found in the last 24 hours — the newest are not on this site yet
Start your free trial →

About the role

Description supplied by the original job listing.

Introductory Marketing Language:
Are you ready to make a difference in Wealth Management technology? At Connect Wealth’s Portfolio Insights Construction team, you’ll help build platforms that empower advisors and clients. You’ll work with cutting-edge tools, collaborate with talented colleagues, and drive meaningful change across the firm’s 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 Wealth’s 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. You’ll help shape the team culture, drive technical excellence, and ensure the platform’s 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 you’re 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 th

Get JobBeeper Mobile App

Never miss a job opening! Get instant job alerts on your phone.

Subscribers see fresh openings within minutes. Download the JobBeeper App on Google Play to get real-time push notifications and apply before anyone else.

⚡ Instant Push Alerts 🎯 Tailored Filters 🚀 Direct Employer Links
GET IT ON Google Play

More openings worth a look

Recently tracked roles with full details and direct application links.

6 roles
Good roles move before most people even see them. Tell JobBeeper what you want and get fresh matches delivered in minutes.
Start your free trial →
⚡ Get fresh job alerts 📱 Get App