Prepin
Log in
JPMorganChase

engineering opportunity

Lead Software Engineer - Investment Portfolio Technology

The Lead Software Engineer will design and deliver secure, scalable platforms for investment portfolio technology while leading technical direction across agile teams. Responsibilities include building Java-based microservices, managing data pipelines in Snowflake, and ensuring production stability through observability and automation.

Jersey City, New Jersey, United StatesonsiteFULL_TIME

Posted

About the role

What will you do at JPMorganChase?

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 Management (AM)

Technology 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 firm’s

business objectives.

This is an exciting opportunity to join a passionate team dedicated to building

products that truly help our users. As a Lead Software Engineer within AM

Technology, you will be a hands-on engineer responsible for designing and

delivering secure, resilient, and scalable platforms that power Customized

Managed Account Solutions (CMAS) investing and Separately Managed Accounts (SMA)

at retail scale. You will lead key components end-to-end (design, delivery,

production stewardship) and partner closely with Product, Business, and

Operations stakeholders. You will lead through technical direction, deep

delivery ownership, and raising engineering standards across teams.

Job responsibilities

* Design, build, test, and deploy Java-based microservices and REST APIs (with

Python where appropriate) supporting SMA trading, data workflows, and client

servicing; lead delivery across multiple services/teams by driving execution,

managing dependencies and trade-offs, enforcing alignment to established

architecture/engineering guardrails, and continuously improving standards and

practices through code reviews and adoption of proven industry best

practices.

* Build and evolve data pipelines and curated datasets used for trading, client

reporting, operational insights, and controls; partner with data governance,

risk, and controls stakeholders to ensure lineage, quality, access controls,

and auditability; drive Snowflake best practices (performance, cost controls,

secure data sharing patterns, environment hygiene).

* Own production readiness (observability, resiliency, incident response,

post-incident improvements); eliminate recurring issues through automation

and platform fixes; establish SLOs/error budgets; support production as

needed and ensure rapid triage/root-cause resolution.

* Embed security, resiliency, and controls into design and implementation;

ensure adherence to IT control policies and corporate standards; raise the

bar on code reviews, testing strategy, release governance, and documentation

quality.

* Partner continuously with stakeholders to translate business outcomes into

technical delivery plans; participate in agile planning and provide

engineering leadership on scope, sequencing, and delivery risk.

* Foster a culture of inclusion, continuous learning, experimentation, and high

engineering standards through design reviews, operational leadership, and

engineering best practices.

* Model safe and effective use of enterprise-authorized AI-assisted development

tools (coding, tests, troubleshooting, documentation), including validation

expectations and secure handling of sensitive inputs/outputs.

* 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.

* 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

* Advanced knowledge of application, data, and infrastructure architecture

* Hands-on practical experience delivering platform/system design, application

development, performance testing, incident management and operational

stability

* Advanced in one or more programming language(s) – Java and Python

* 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

* Proficient in all aspects of the Software Development Life Cycle and advanced

understanding of agile methodologies such as CI/CD, Application Resiliency,

and Security

* Experience building RESTful web services, microservices, API design, testing,

performance tuning, and secure coding.

* Strong AWS experience with production-grade services and patterns.

* Strong experience designing and operating data solutions in Snowflake (schema

design, performance, secure access, operationalization).

* Strong SQL skills; experience with stored procedures and relational concepts.

Preferred qualifications, capabilities, and skills

* AWS certification(s) – Developer, Solutions Architect, ML Engineer, AI

Developer, DevOps Engineer, CloudOps Engineer

* Airflow (or equivalent orchestration) experience

* Modern CI tooling experience – GitHub, BitBucket, GitLab, Jenkins, etc.

* Financial Services experience and familiarity with trading concepts/trade

lifecycle.

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

[https://careers.jpmorgan.com/us/en/how-we-hire/faqs] for more information about

requesting an accommodation.

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

Disability/Veterans

J.P. Morgan Asset & Wealth Management delivers industry-leading investment

management and private banking solutions. Asset Management provides individuals,

advisors and institutions with strategies and expertise that span the full

spectrum of asset classes through our global network of investment

professionals. Wealth Management helps individuals, families and foundations

take a more intentional approach to their wealth or finances to better define,

focus and realize their goals.

Which skills does this role require?

JavaPythonMicroservicesREST APIsSnowflakeSQLData pipelinesAgile methodologiesCI/CDSystem designPerformance tuningSecure codingIncident managementAI-assisted developmentTrading systemsAgileInvestment PortfolioCloud computingSystem architecturePerformance testingIncident responseData governanceSoftware Development Life CycleResiliencySecurityAPI designData lineageAutomationTechnical leadershipCode reviewObservabilityInfrastructure architectureMachine LearningA/B Testing

Make your next move

Build a shortlist and prepare

Identify the requirements you can demonstrate, then choose examples from your work to discuss with the hiring team.

Review the responsibilities and requirements before adding an opening to your shortlist.

Role information can change. Confirm current details on the original application page.

Product

AI Candidate AgentCompaniesBrowse JobsDeep ProfileSkill AssessmentOpportunity Matching
Prepin.ai

© 2026 Prepin | All rights reserved.