JP Morgan Chase

Runs a consumer bank and an investment bank

Lead/Senior Associate / Associate Software Engineer - Portfolio Insights Platform, Wealth Management

Backend EngineeringConfirmed live in the last 24 hours

Full-timeLondon, UKNo salary listedIn-person

About the Job

Requirements

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, including 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.
Proficiency across the full software development life cycle, with advanced understanding of agile delivery, continuous integration and continuous delivery, application resiliency, and security practices.
In-depth knowledge of financial services IT systems, ideally wealth or advisory data.

Responsibilities

Execute software solutions across the platform’s ingestion, resolution, and serving layers.
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-repository changes.
Drive adoption of enterprise-authorized AI-assisted engineering practices and establish validation standards for AI-generated code.
Apply the software development life cycle 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.

Desired Qualifications

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

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 the future of Wealth Management technology.

About the Company

JP Morgan Chase

Runs a consumer bank and an investment bank

JPMorgan Chase runs the largest bank in the United States, which serves households and small businesses as Chase and large companies, governments, and investors as J.P. Morgan. During the 2008 financial crisis it bought the failing investment bank Bear Stearns and lender Washington Mutual, and in 2023 it took over First Republic Bank after regulators seized it. Chase takes deposits and earns interest on credit cards, mortgages, and car loans, while the investment side earns fees for advising on mergers, raising money for companies, trading stocks and bonds, and managing wealth. Formed in a 2000 merger, JPMorgan Chase traces its roots to 1799 and is based in New York City.

Company size: 10,001+
Company stage: IPO
Headquarters: New York City, New York
Founded: 1799

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