As a Lead Software Engineer at JPMorganChase within the Corporate Technology - CTIM Platform Services 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. 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, integrations, and production support/operational resilience for Corporate Technology applications across UNIX/Linux/Windows/Public and Private Cloud platforms ensuring stable processing and high availability.
- Have strong understanding of Incident, Problem, Change, and Capacity Management—to assist with driving prioritization, stakeholder communications, escalations, post-incident reviews, and continuous improvement to prevent recurrence and improve SLA outcomes.
- Provide hands-on troubleshooting across batch processing, UNIX/Linux file systems, data stores, access/core services (SFTP/SSH/LDAP), and scheduling (Autosys/Crontab); optimize job flows, reduce runtimes, and strengthen recovery/re-run procedures.
- Deliver data solutions to underpin reliable outcomes—controlled data loads/reconciliations/reporting/alerting and data quality remediation for databases across Sybase/Oracle/Informix/MS SQL (procedures/packages/views/triggers, indexing/statistics, fragmentation, replication such as Sybase Replication).
- Build and operate automation and observability—Perl and shell scripting (KSH/Bash; sed/awk) to streamline monitoring, provisioning, and runbooks; enhance metrics/alerting, dashboards, and automated reporting to surface risks early, improve service level performance and operational runbooks.
- Develop and operationalize AI/agent capabilities—create assistant skills/tool functions with clear interfaces, schemas, validation, error handling, and observability; stand up and operate MCP (Model Context Protocol) servers/integrations and reusable agent patterns to accelerate delivery.
- Establish evaluation checks, guardrails, monitoring, and validation standards so AI behavior is accurate, safe, and verifiable; drive data readiness and integration practices (modeling, pipeline alignment, quality controls) that improve AI and platform reliability.
- Uphold strong SDLC rigor and predictable delivery—technical roadmaps/milestones, secure coding, code reviews, automated testing, CI/CD, and production readiness; partner with product and analyst stakeholders on estimates, dependencies, delivery plans, and outcomes.
- Manage data operations—controlled ad hoc data loads, reconciliations, client reporting, and resolution of day-to-day data quality/processing issues.
- Provide technical leadership and mentoring—delegate effectively, unblock delivery, scale team effectiveness via documentation/knowledge management (runbooks, known error database, training), and drive adoption of enterprise-authorized AI-assisted engineering practices (e.g., refactoring/review, test acceleration, incident/RCA support) with reuse of proven patterns across the team.
- 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.
- 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.
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
Skills Required
- Formal training or certification in software engineering concepts
- 5+ years of applied software engineering experience
- Strong proficiency in Java
- Strong working experience with Python
- Strong architecture and systems design skills
- Knowledge of object-oriented design, design patterns, SOLID principles, testing, and TDD
- Strong integration and data fundamentals, including SQL/PL-SQL and MQ/Kafka
- Experience operating production services with CI/CD, observability, and reliability practices
- Experience leading approved AI-assisted software development tools and validating AI outputs for correctness, performance, and security
- Understanding of responsible AI use, data sensitivity, secure input/output handling, resiliency, and security expectations
- Ability to create roadmaps and milestones, manage dependencies, and execute in agile or Scrum environments
- Experience mentoring engineers, leading reviews, and improving engineering standards
- Strong communication and collaboration skills across distributed, cross-functional stakeholders
- ServiceNow experience, including familiarity with its data model
- Experience with MCP operations patterns, including authorization, logging, traceability, rate limiting, versioning, and safe rollout
- Experience designing AI agents using grounding/RAG, deterministic fallbacks, prompt and version management, and evaluation harnesses
- Understanding of data privacy and security for agent workflows, including data minimization, secrets management, least privilege, and auditability
- Experience with AWS or other public cloud platforms
JPMorganChase Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about JPMorganChase and has not been reviewed or approved by JPMorganChase.
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Healthcare Strength — Medical, dental, vision, and mental-health coverage are broad, with wellness incentives, on-site or virtual care, and an EAP offering coaching and counseling. Plan materials emphasize accessible options, including multiple medical choices and tools to manage costs.
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Parental & Family Support — Paid parental leave extends up to 16 weeks for all parents, supplemented by paid Critical Caregiver Leave. Family resources include backup childcare via Bright Horizons, lactation support and milk-shipping, family-building assistance, and even a free five-month SNOO rental for newborns.
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Retirement Support — Retirement programs include a 401(k) with an annual company match and automatic pay credits for most employees, with a legacy pension available to earlier hires. An Employee Stock Purchase Plan at a 5% discount further supports long-term savings.
JPMorganChase Insights
What We Do
JPMorgan Chase & Co. (NYSE: JPM) is a leading global financial services firm with assets of $3.7 trillion and operations worldwide. The firm is a leader in investment banking, financial services for consumers and small businesses, commercial banking, financial transaction processing, and asset management. A component of the Dow Jones Industrial Average, JPMorgan Chase & Co. serves millions of consumers in the United States and many of the world’s most prominent corporate, institutional and government clients under its J.P. Morgan and Chase brands. Technology fuels every aspect of our company and is at the heart of everything we do. With over 50,000 technologists globally and an annual tech spend of $12 billion, we are dedicated to improving the design, analytics, development, coding, testing and application programming that goes into creating high quality software and new products. Learn more about technology at our firm, explore resources from our Distinguished Engineers, AI & ML researchers, and other experts; access the latest episode of our TechTrends podcast, and more at www.jpmorgan.com/technology. Information about JPMorgan Chase & Co. is available at www.jpmorganchase.com. ©2023 JPMorgan Chase & Co. All rights reserved. JPMorgan Chase is an Equal Opportunity Employer, including Disability/Veterans.
Why Work With Us
Our technologists work on a diverse range of solutions that include strategic technology initiatives, big data, mobile, electronic payments, machine learning, cybersecurity, enterprise cloud development, and other state-of-the-art technologies.
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