Senior Lead Software Engineer - Python, Golang, Java

Be an integral part of an agile team that's constantly pushing the envelope to

enhance, build, and deliver top-notch technology products.

As a Senior Lead Software Engineer at JPMorganChase within the Corporate Sector

- CFS Cloud Enablement 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. Drive significant business impact through

your capabilities and contributions, and apply deep technical expertise and

problem-solving methodologies to tackle a diverse array of challenges that span

multiple technologies and applications.

Job responsibilities

* Provides authoritative technical guidance and architectural direction to

business stakeholders, technical teams, contractors, and vendors — with a

focus on workflow automation, AI/ML platforms, and cloud-native solutions on

AWS, Azure and GCP.

* Designs, engineers, and implements end-to-end workflow automation solutions

and AI/ML pipelines, from architecture through production deployment

* Develops secure, high-quality production code; reviews, debugs, and optimizes

code written by others — leveraging GitHub Copilot and AI-assisted

development practices to accelerate delivery

* Drives architectural decisions that influence product design, application

functionality, and technical operations — including infrastructure-as-code

standards using Terraform across AWS environments

* Serves as a function-wide subject matter expert in AWS cloud architecture,

MLOps, workflow orchestration, and intelligent automation

* Defines and enforces best practices for CI/CD pipelines, IaC (Terraform),

model lifecycle management, and automated testing within the SDLC

* Actively contributes to the engineering community as an advocate of firmwide

frameworks, tools, and practices — championing AWS Well-Architected

principles, Terraform module reuse, and responsible AI/ML governance

* Influences peers and project decision-makers to evaluate and

adopt leading-edge technologies including LLMs, agentic AI frameworks, and

cloud-native automation services (e.g., AWS Step Functions, EventBridge,

SageMaker, Bedrock)

* Sets and scales operating practices for enterprise-authorized AI-assisted

engineering and SDLC/TLM automation across multiple teams to improve delivery

speed, quality, and operational outcomes; establishes measurable expectations

(e.g., throughput, defect reduction, reliability) and ensures consistent

validation, security, resiliency, and reuse of proven patterns.

* Applies knowledge of tools within the Software Development Life Cycle

toolchain, including enterprise-authorized AI-assisted development and

automation capabilities, to drive efficiency and support capacity unlock

initiatives across teams, prioritizing reuse of existing firm technology

assets. Sets and scales operating practices for enterprise-authorized

AI-assisted engineering and SDLC/TLM automation across multiple teams to

improve delivery speed, quality, and operational outcomes; establishes

measurable expectations (e.g., throughput, defect reduction, reliability) and

ensures consistent validation, security, resiliency, and reuse of proven

patterns.

Required qualifications, capabilities, and skills

* Formal training or certification on software engineering concepts and 10+

years applied experience

* Hands-on practical experience delivering system design, application

development, testing, and operational stability — with demonstrated delivery

of production-grade AI/ML and automation solutions

* Advanced proficiency in Python

* Advanced knowledge of AI/ML frameworks and tooling and their

operationalization in cloud environments

* Deep expertise in AWS cloud services relevant to automation and AI/ML

workloads, including but not limited to: Step Functions, Lambda, ECS/EKS,

SageMaker, Bedrock, Glue, EventBridge, and IAM

* Proficiency in Terraform for infrastructure-as-code, including module

development, state management, and multi-environment deployment patterns

* Experience with GitHub Copilot and AI-assisted development workflows; ability

to evaluate, govern, and scale AI coding tools within an engineering team

* Ability to independently tackle complex design and functionality problems

with minimal oversight, driving solutions from ambiguous requirements to

production

* Practical cloud-native experience with strong understanding of security,

scalability, resilience, and cost optimization in AWS

* Experience leading multi-team adoption of enterprise-authorized AI-assisted

development and delivery tools, including defining governance/ways of working

(human-in-the-loop validation, quality gates), measuring outcomes, and

ensuring secure handling of sensitive inputs/outputs.

* Strong understanding of responsible AI use in engineering workflows,

including data sensitivity considerations, resiliency/security implications,

and control expectations; ability to coach managers/leads and influence

leaders on safe scaling patterns.

*

Preferred qualifications, capabilities, and skills

* Familiarity with SQL, Bash, or TypeScript/JavaScript

* Hands on experience developing in Java, or Golang

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.