Senior Lead Software Engineer (AI, Data, Cloud)

As a Senior Lead Software Engineer at JPMorganChase within Corporate Technology

– Chief Technology Office, you serve as a senior individual contributor and

technical leader on an agile team designing and delivering trusted,

market-leading technology products in a secure, stable, and scalable way. You

drive critical technology solutions across multiple technical areas, translate

firmwide objectives into concrete technical designs, and raise the engineering

bar through strong architecture, high-quality delivery, and operational rigor.

Job responsibilities

* Serves as a hands-on technical leader, contributing production code

(primarily Python) and owning end-to-end delivery from design through

production operations.

* Leads system and platform architecture for components supporting end-to-end

ML workflows, including data transformation patterns, feature management

integration, orchestration enablement, and model serving integration.

* Designs and develops agentic AI capabilities that analyze workloads and

generate optimization recommendations, including evaluation approaches,

monitoring, and feedback loops required for production readiness.

* Builds and maintains reusable APIs/SDKs and reference implementations that

enable consistent platform adoption and reduce duplicated effort across

teams.

* Partners with data scientists, ML engineers, and product teams to clarify

requirements, define technical approaches, manage dependencies, and deliver

measurable outcomes.

* Ensures platform reliability, scalability, performance, and cost efficiency

through SLOs, proactive monitoring, incident response participation,

root-cause analysis, and continuous improvement.

* Automates infrastructure provisioning, configuration, and CI/CD pipelines for

platform services using Infrastructure as Code, promoting safe and repeatable

deployments across environments.

* Drives adoption of enterprise-authorized AI-assisted engineering practices to

improve code quality, delivery speed, and operational outcomes, establishing

consistent validation standards (correctness, performance, security) and

promoting reuse of effective patterns.

* Produces architecture and design artifacts for platform components, ensuring

alignment with enterprise standards and best practices.

* Mentors engineers through technical coaching, design reviews, and pairing,

contributing to a strong culture of engineering excellence.

* Contributes to software engineering communities of practice and events that

explore new and emerging technologies.

Required qualifications

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

years applied experience.

* Demonstrated experience in system design, application development, testing,

and operational stability for distributed systems and platform services.

* Strong hands-on depth in Python, including building and maintaining

APIs/SDKs; ability to lead design and perform high-quality code/design

reviews.

* Demonstrated experience with enterprise-authorized AI-assisted development

tools (e.g., GitHub Copilot, Claude Code) and experience establishing

practical team norms for validation and quality (correctness, performance,

security) in day-to-day engineering workflows.

* Experience delivering platforms involving Generative AI, including LLM

orchestration patterns and agentic AI frameworks, with production-grade

evaluation and monitoring practices.

* Practical experience with AWS, containerized platforms (e.g., EKS/ECS), and

Terraform (or equivalent IaC).

* Databricks experience is required, including building and operating data/ML

workloads on Databricks (e.g., pipelines, notebooks/jobs, Delta/feature

datasets, orchestration/integration with ML workflows).

* Comprehensive knowledge of the Software Development Life Cycle, agile

delivery, CI/CD, and modern engineering quality controls.

* Strong communication skills with business-facing partners and technical

stakeholders; ability to translate strategy into execution and measurable

outcomes.

Preferred qualifications

* Experience building ML platforms integrating data engineering, feature

management, and model serving into cohesive developer-friendly workflows.

* Knowledge of AI/ML model integration, context engineering, and MCP-style

patterns for tool/function integration.

* Exposure to Snowflake.

* Familiarity with observability/metrics tools (e.g., CloudWatch, Dynatrace,

Datadog).

* AWS certifications.

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.