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JPMorganChase

engineering opportunity

Sr Lead Software Engineer

The role involves defining non-functional requirements and availability targets while leading the design and implementation of observability and reliability capabilities. You will act as a mentor and champion for site reliability engineering practices, leveraging AI-assisted tools to improve operational outcomes and system stability.

Columbus, Ohio, United StatesonsiteFULL_TIME

Posted

About the role

What will you do at JPMorganChase?

Elevate your engineering prowess to unprecedented levels by joining a team of

exceptionally gifted professionals and position yourself among the top echelon

in site reliability.

As a Senior Lead Software Engineer, Site Reliability Engineering at

JPMorganChase within Corporate Sector - Corporate Responsibility team, you work

with stakeholders to define non-functional requirements and availability targets

across services and product lines. You ensure these requirements are built into

design and testing, and that service level indicators and service level

objectives effectively measure and improve customer experience.

Job responsibilities

* Create and deliver high-quality designs, roadmaps, and program charters in

partnership with engineering teams

* Act as a key mentor and trusted advisor to technologists on technical and

business challenges, serving as a culture carrier and site reliability

adoption champion

* Collaborate to design and implement observability and reliability

capabilities for complex systems that are robust, stable, and reduce

operational toil and technical debt

* Use enterprise-authorized AI capabilities within the work environment to

accelerate reliability design and operational decision-making (e.g., incident

and post-incident analysis, requirements traceability), validating outputs

and handling operational data according to sensitivity and security

requirements

* Drive the evolution and debugging of critical components by understanding

application and platform dependencies, constraints, and failure modes

* Provide ongoing guidance, tools, and solutions that enable safe growth

through stronger reliability, scalability, and operational readiness

* Contribute to the site reliability engineering community through knowledge

sharing, reusable patterns, and continuous improvement practices

* Lead reuse-first adoption of AI-assisted reliability workflows across

software development life cycle practices (e.g., testing and validation

automation, production readiness), ensuring traceability, resiliency, and

security controls

* Drive adoption and governance of approved AI-assisted engineering practices

across teams to improve code quality, delivery speed, and operational

outcomes, while establishing measurable validation standards (secure coding,

peer review, automated testing) and promoting reuse of proven patterns and

automation within the software development life cycle/toolchain

* Apply knowledge of tools within the software development life cycle

toolchain, including approved AI-assisted development and automation

capabilities, to improve the value realized by automation at scale

Required qualifications, capabilities and skills

* Formal training or certification on software engineering concepts and 5+

years applied experience

* Experience defining and operationalizing non-functional requirements,

availability targets, and production readiness standards for customer-facing

services

* Experience establishing and managing service level indicators and service

level objectives with stakeholders, including measurement, alerting, and

continuous improvement

* Proficiency in Python and/or Java for building automation, tooling, and

reliability improvements

* Knowledge of identity and access management concepts and secure access

patterns in enterprise environments

* Experience with Amazon Web Services, including database platforms and data

movement patterns such as extract, transform, load processes

* Demonstrated experience leading effective use of enterprise-authorized

AI-assisted software development tools within the work environment (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

senior engineers/leads on compliant usage patterns and controls

Preferred qualifications, capabilities and skills

* 10+ years developing, supporting, or leading reliability efforts for

enterprise-scale applications and platforms

* Experience designing observability strategies (metrics, logs, traces) and

operational dashboards tied directly to customer experience outcomes

* Experience reducing operational toil through self-service tooling,

automation, and reliability-first engineering practices

* Experience influencing cross-functional stakeholders (product, engineering,

operations, risk) through clear reliability narratives and measurable

outcomes

* Experience leading large-scale modernization, resiliency upgrades, or

reliability transformations across multiple teams

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

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.

Which skills does this role require?

Site reliability engineeringPythonJavaAmazon Web ServicesSystem designIncident analysisSecure codingCloud infrastructureData movementIdentity and access managementReliability engineeringSoftware development life cycleTechnical leadershipAI-assisted developmentSite Reliability EngineeringSoftware EngineeringService Level IndicatorsService Level ObjectivesIdentity and Access ManagementSecure Access PatternsAI-assisted DevelopmentSystem DesignOperational ReadinessIncident AnalysisDatabase PlatformsETLSoftware Development Life CycleTechnical DebtScalabilityCloud ComputingInfrastructureMentorshipGovernanceValidation StandardsSecure CodingPerformance TuningAWSProduct Strategy

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