Lead Software Engineer (Infrastructure Platforms - Digital Workflows Product Line)

Archer; San Francisco (CA); On-site; USD 180,000 - 240,000; Full time

Job summary

Archer, in collaboration with JPMorganChase, seeks a Lead Software Engineer to drive delivery of AI-enabled engineering capabilities within Infrastructure Platforms Digital Workflows. You will lead complex platform features, shape roadmaps, and mentor engineers while aligning with governance, security, and risk controls.

In this role you will stand up MCP servers, develop AI agent patterns, and ensure secure, observable, and scalable solutions across the SDLC, collaborating with product and

Qualifications

• Formal training or certification on software engineering concepts and 5+ years applied experience
• Strong proficiency in Java and strong working experience with Python
• Strong architecture and design skills across systems with sound engineering judgment
• Strong engineering fundamentals (OOD, design patterns, SOLID) and a quality-first mindset
• Strong integration and data fundamentals (SQL/PL-SQL; event messaging such as MQ/Kafka)
• Experience operating production services with CI/CD, observability, and reliability best practices
• Demonstrated experience leading effective use of approved AI-assisted software development tools
• Strong understanding of responsible AI use in engineering workflows and secure adoption

Responsibilities

• Lead end-to-end design, implementation, and operation of complex platform features and integrations.
• Create technical roadmaps and milestones; drive predictable delivery and continuous team process improvement.
• Develop assistant skills/tool functions with clear interfaces, schemas, validation, error handling, and observability.
• Stand up and operate MCP (Model Context Protocol) servers/integrations and agent patterns to accelerate delivery.
• Establish evaluation checks, guardrails, and monitoring so AI behavior is accurate, safe, and verifiable.
• Drive data readiness and integration practices underpinning AI outcomes.
• Uphold SDLC rigor: secure coding, code reviews, automated testing, CI/CD, and production readiness.
• Mentor junior engineers, delegate effectively, and unblock delivery through technical leadership.
• Partner with product and analyst stakeholders on estimates, delivery plans, dependencies, and outcomes.
• Drives team adoption of enterprise-authorized AI-assisted engineering practices and consistency of validation standards.
• Applies knowledge of tools within the SDLC toolchain to improve value realized by automation.

Skills

Java

Python

Agile

Mentoring

CI/CD

AI-assisted tools

Security best practices

Communication

Tools

ServiceNow

MCP servers

AWS

CI/CD tooling

Job description

Archer is collaborating with J.P. Morgan to connect them with exceptional professionals for this role.

Job Description

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 Infrastructure Platforms Digital Workflows Product Line, you will lead delivery of high-quality technical solutions, drive roadmaps and agile execution, mentor engineers, and implement AI-enabled engineering capabilities (including tool functions/skills and MCP servers/agents) within governance, security, and risk controls.

Job responsibilities

• Lead end-to-end design, implementation, and operation of complex platform features and integrations.
• Create technical roadmaps and milestones; drive predictable delivery and continuous team process improvement.
• Develop assistant skills/tool functions with clear interfaces, schemas, validation, error handling, and observability.
• Stand up and operate MCP (Model Context Protocol) servers/integrations and agent patterns to accelerate delivery.
• Establish evaluation checks, guardrails, and monitoring so AI behavior is accurate, safe, and verifiable.
• Drive data readiness and integration practices (modeling, pipelines alignment, quality controls) underpinning AI outcomes.
• Uphold SDLC rigor: secure coding, code reviews, automated testing, CI/CD, and production readiness.
• Mentor junior engineers (technical and soft skills), delegate effectively, and unblock delivery through technical leadership.
• Partner with product and analyst stakeholders on estimates, delivery plans, dependencies, and outcomes.
• 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.

Required Qualifications, Capabilities, And Skills

• Formal training or certification on software engineering concepts and 5+ years applied experience
• Strong proficiency in Java and strong working experience with Python.
• Strong architecture and design skills across systems with sound engineering judgment.
• Strong engineering fundamentals (OOD, design patterns, SOLID) and a quality-first mindset (testing/TDD).
• Strong integration and data fundamentals (SQL/PL-SQL; event messaging such as MQ/Kafka).
• Experience operating production services with CI/CD, observability, and reliability best practices.
• 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 practice.
• Ability to create roadmaps/milestones, manage dependencies, and execute effectively in agile/scrum environments.
• Track record of mentoring engineers, leading reviews, and raising engineering standards across a team.
• Strong communication and collaboration skills across distributed, cross-functional stakeholders.

Preferred Qualifications, Capabilities, And Skills

• ServiceNow experience (including familiarity with the ServiceNow data model).
• Experience using AI-assisted development tools responsibly with strong engineering judgment and secure coding practices.
• Experience with MCP operations patterns (authN/Z, logging/traceability, rate limiting, versioning, safe rollout).
• Experience designing AI agents with grounding/RAG patterns, deterministic fallbacks, prompt/version management, and eval harnesses.
• Understanding of data privacy/security considerations for agent workflows (data minimization, secrets management, least privilege, auditability).
• Experience in AWS or other public cloud platforms.

FEDERAL DEPOSIT INSURANCE ACT

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

About Us

JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.

We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.

We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.

JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans

About The Team

Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we're setting our businesses, clients, customers and employees up for success.