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Software Engineer III

ExperiencedNo visa sponsorship
J.P. Morgan logo

at J.P. Morgan

Bulge Bracket Investment Banks

Posted 12 days ago

No clicks

**Software Engineer III - Asset & Wealth Management** Lead software engineer role within JPMorganChase's Managed Accounts team. Design, develop, and deliver secure, scalable tech solutions across multiple areas. Key responsibilities include creative problem-solving, production code development, issue automation, vendor evaluation, and team AI-assisted engineering practice adoption. Requires advanced software engineering expertise, proficiency in Java, React, SQL, automation, and agile methodologies. Cloud-native experience and financial services industry knowledge essential. Prefer candidates with managed accounts, wealth management experience, and familiarity with modern front-end frameworks, cloud platforms, and event-driven architecture.

Compensation
Not specified GBP

Currency: £ (GBP)

City
Glasgow
Country
United Kingdom

Full Job Description

Location: GLASGOW, LANARKSHIRE, United Kingdom

We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible.

As a Lead Software Engineer at JPMorganChase within the Asset & Wealth Management Managed Accounts team, you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. As a core technical contributor, you are responsible for conducting critical technology solutions across multiple technical areas within various business functions in support of the firm's business objectives.

Job responsibilities

  • Execute creative software solutions, design, development, and technical troubleshooting with the ability to think beyond routine or conventional approaches to build solutions or break down technical problems
  • Develop secure, high-quality production code, and review and debug code written by others
  • Identify opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems
  • Lead evaluation sessions with external vendors, startups, and internal teams to drive outcomes-oriented probing of architectural designs, technical credentials, and applicability for use within existing systems and information architecture
  • Lead communities of practice across Software Engineering to drive awareness and adoption of new and leading-edge technologies
  • Drive team adoption of enterprise-authorized AI-assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test strategy acceleration, incident/root-cause analysis support), while establishing consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective patterns across the team
  • Apply knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation
  • Add to team culture of diversity, opportunity, inclusion, and respectspect

 

Required qualifications, capabilities, and skills

  • Formal training or certification on software engineering concepts and advanced applied experience
  • Hands-on practical experience delivering system design, application development, testing, and operational stability
  • Advanced proficiency in one or more programming languages, with a focus on Java, React, and SQL
  • Proficiency in automation and continuous delivery methods
  • Proficient in all aspects of the Software Development Life Cycle
  • Advanced understanding of agile methodologies such as continuous integration/continuous delivery, Application Resiliency, and Security
  • Demonstrated proficiency in software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)
  • In-depth knowledge of the financial services industry and its technology systems
  • Practical cloud-native experience
  • Hands-on experience using enterprise-authorized AI-assisted software development tools within the work environment (e.g., for coding, test creation, troubleshooting, or documentation) with demonstrated ability to critically evaluate, validate, and refine AI-generated outputs for correctness, performance, and security
  • Understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; ability to guide peers on safe and effective usage within team practices

 

Preferred qualifications, capabilities, and skills

  • Experience working within managed accounts, wealth management, or investment platforms
  • Familiarity with modern front-end frameworks and component-based architecture
  • Exposure to cloud platforms such as Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform
  • Experience with event-driven architecture and distributed systems design
Role within Managed Accounts focusing on facilitating the maintenance, controls and distribution of ideal client holdings to systems.

Software Engineer III

Compensation

Not specified GBP

City: Glasgow

Country: United Kingdom

J.P. Morgan logo
Bulge Bracket Investment Banks

12 days ago

No clicks

at J.P. Morgan

ExperiencedNo visa sponsorship

**Software Engineer III - Asset & Wealth Management** Lead software engineer role within JPMorganChase's Managed Accounts team. Design, develop, and deliver secure, scalable tech solutions across multiple areas. Key responsibilities include creative problem-solving, production code development, issue automation, vendor evaluation, and team AI-assisted engineering practice adoption. Requires advanced software engineering expertise, proficiency in Java, React, SQL, automation, and agile methodologies. Cloud-native experience and financial services industry knowledge essential. Prefer candidates with managed accounts, wealth management experience, and familiarity with modern front-end frameworks, cloud platforms, and event-driven architecture.

Full Job Description

Location: GLASGOW, LANARKSHIRE, United Kingdom

We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible.

As a Lead Software Engineer at JPMorganChase within the Asset & Wealth Management Managed Accounts team, you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. As a core technical contributor, you are responsible for conducting critical technology solutions across multiple technical areas within various business functions in support of the firm's business objectives.

Job responsibilities

  • Execute creative software solutions, design, development, and technical troubleshooting with the ability to think beyond routine or conventional approaches to build solutions or break down technical problems
  • Develop secure, high-quality production code, and review and debug code written by others
  • Identify opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems
  • Lead evaluation sessions with external vendors, startups, and internal teams to drive outcomes-oriented probing of architectural designs, technical credentials, and applicability for use within existing systems and information architecture
  • Lead communities of practice across Software Engineering to drive awareness and adoption of new and leading-edge technologies
  • Drive team adoption of enterprise-authorized AI-assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test strategy acceleration, incident/root-cause analysis support), while establishing consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective patterns across the team
  • Apply knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation
  • Add to team culture of diversity, opportunity, inclusion, and respectspect

 

Required qualifications, capabilities, and skills

  • Formal training or certification on software engineering concepts and advanced applied experience
  • Hands-on practical experience delivering system design, application development, testing, and operational stability
  • Advanced proficiency in one or more programming languages, with a focus on Java, React, and SQL
  • Proficiency in automation and continuous delivery methods
  • Proficient in all aspects of the Software Development Life Cycle
  • Advanced understanding of agile methodologies such as continuous integration/continuous delivery, Application Resiliency, and Security
  • Demonstrated proficiency in software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)
  • In-depth knowledge of the financial services industry and its technology systems
  • Practical cloud-native experience
  • Hands-on experience using enterprise-authorized AI-assisted software development tools within the work environment (e.g., for coding, test creation, troubleshooting, or documentation) with demonstrated ability to critically evaluate, validate, and refine AI-generated outputs for correctness, performance, and security
  • Understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; ability to guide peers on safe and effective usage within team practices

 

Preferred qualifications, capabilities, and skills

  • Experience working within managed accounts, wealth management, or investment platforms
  • Familiarity with modern front-end frameworks and component-based architecture
  • Exposure to cloud platforms such as Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform
  • Experience with event-driven architecture and distributed systems design
Role within Managed Accounts focusing on facilitating the maintenance, controls and distribution of ideal client holdings to systems.