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Senior Lead Software Engineer

ExperiencedNo visa sponsorship
J.P. Morgan logo

at J.P. Morgan

Bulge Bracket Investment Banks

Posted 7 days ago

No clicks

**Senior Lead Software Engineer at JPMorganChase - Palo Alto, CA** Drive secure, scalable tech solutions as a **Senior Lead Software Engineer** within JPMorganChase's Infrastructure Platforms and Foundational Services (IPFS). Lead agile teams to build, enhance, and deliver market-leading products. Key responsibilities include: - Crafting innovative software solutions and driving AI-assisted engineering practices, such as AI-assisted code review/refactoring, test acceleration, and incident analysis. - Developing secure, high-quality code and automating remediation for operational stability. - Evaluating external vendors, driving architectural designs and credentials compliance. - Leading technology communities of practice and fostering a culture of diversity and inclusion. Requirements: - 10+ years of experience in Software Engineering, Site Reliability Engineering, or DevOps, with advanced proficiency in one or more programming languages. - Proven expertise in AI-assisted software development tools, with experience validating AI outputs. - Strong understanding of responsible AI use, agile methodologies, CI/CD, application resiliency, and security. - Preferred: proficiency in cloud-native environments and financial services industry knowledge.

Compensation
Not specified

Currency: Not specified

City
Palo Alto
Country
United States

Full Job Description

Location: Palo Alto, CA, United States

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

As a Senior Lead Software Engineer at JPMorganChase within the Infrastructure Platforms and Foundational Services (IPFS) organization, 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 firms business objectives.

Job responsibilities

 

  • Executes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems
  • Drives 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.
  • Applies 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.

  • Develops secure high-quality production code, and reviews and debugs code written by others
  • Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems
  • Leads 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
  • Leads communities of practice across Software Engineering to drive awareness and use of new and leading-edge technologies
  • Adds to team culture of diversity, opportunity, inclusion, and respect

 

 

Required qualifications, capabilities, and skills

  • Formal training or certification in software engineering concepts with 10+ years of applied experience in Site Reliability Engineering, DevOps, or Software Engineering

  • Hands-on practical experience delivering system design, application development, testing, and operational stability
  • Advanced in one or more programming language(s)
  • Demonstrated experience leading effective use of approved AI-assisted software development tools (e.g., for coding, code review, test acceleration, troubleshooting) with the ability to set team expectations for validating AI outputs for correctness, performance, and security.

  • Strong understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; experience coaching engineers on safe, compliant adoption within delivery practices

  • Proficiency in automation and continuous delivery methods
  • Proficient in all aspects of the Software Development Life Cycle
  • Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security

 

Preferred qualifications, capabilities, and skills
  • 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 their IT systems
  • Practical cloud native experience.

     

     

    This position is subject to Section 19 of the Federal Deposit Insurance Act. As such, an employment offer for this position is contingent on JPMorganChases review of criminal conviction history, including pretrial diversions or program entries

     

Carry out critical tech solutions across multiple technical areas as an integral part of an agile team

Senior Lead Software Engineer

Compensation

Not specified

City: Palo Alto

Country: United States

J.P. Morgan logo
Bulge Bracket Investment Banks

7 days ago

No clicks

at J.P. Morgan

ExperiencedNo visa sponsorship

**Senior Lead Software Engineer at JPMorganChase - Palo Alto, CA** Drive secure, scalable tech solutions as a **Senior Lead Software Engineer** within JPMorganChase's Infrastructure Platforms and Foundational Services (IPFS). Lead agile teams to build, enhance, and deliver market-leading products. Key responsibilities include: - Crafting innovative software solutions and driving AI-assisted engineering practices, such as AI-assisted code review/refactoring, test acceleration, and incident analysis. - Developing secure, high-quality code and automating remediation for operational stability. - Evaluating external vendors, driving architectural designs and credentials compliance. - Leading technology communities of practice and fostering a culture of diversity and inclusion. Requirements: - 10+ years of experience in Software Engineering, Site Reliability Engineering, or DevOps, with advanced proficiency in one or more programming languages. - Proven expertise in AI-assisted software development tools, with experience validating AI outputs. - Strong understanding of responsible AI use, agile methodologies, CI/CD, application resiliency, and security. - Preferred: proficiency in cloud-native environments and financial services industry knowledge.

Full Job Description

Location: Palo Alto, CA, United States

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

As a Senior Lead Software Engineer at JPMorganChase within the Infrastructure Platforms and Foundational Services (IPFS) organization, 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 firms business objectives.

Job responsibilities

 

  • Executes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems
  • Drives 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.
  • Applies 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.

  • Develops secure high-quality production code, and reviews and debugs code written by others
  • Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems
  • Leads 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
  • Leads communities of practice across Software Engineering to drive awareness and use of new and leading-edge technologies
  • Adds to team culture of diversity, opportunity, inclusion, and respect

 

 

Required qualifications, capabilities, and skills

  • Formal training or certification in software engineering concepts with 10+ years of applied experience in Site Reliability Engineering, DevOps, or Software Engineering

  • Hands-on practical experience delivering system design, application development, testing, and operational stability
  • Advanced in one or more programming language(s)
  • Demonstrated experience leading effective use of approved AI-assisted software development tools (e.g., for coding, code review, test acceleration, troubleshooting) with the ability to set team expectations for validating AI outputs for correctness, performance, and security.

  • Strong understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; experience coaching engineers on safe, compliant adoption within delivery practices

  • Proficiency in automation and continuous delivery methods
  • Proficient in all aspects of the Software Development Life Cycle
  • Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security

 

Preferred qualifications, capabilities, and skills
  • 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 their IT systems
  • Practical cloud native experience.

     

     

    This position is subject to Section 19 of the Federal Deposit Insurance Act. As such, an employment offer for this position is contingent on JPMorganChases review of criminal conviction history, including pretrial diversions or program entries

     

Carry out critical tech solutions across multiple technical areas as an integral part of an agile team