Lead Software Engineer - Cloud

JPMorganChase; Columbus (OH); On-site; USD 140,000 - 170,000; Full time

Job summary

JPMorganChase is seeking a Lead Software Engineer within Corporate Technology to drive end-to-end delivery of modern data solutions and platform modernization across private cloud and AWS. You will mentor engineers and promote AI-assisted practices to enhance code quality, delivery speed, and reliability.

The role requires 5+ years of experience in software engineering, strong skills in Python or Java, and hands-on AWS, containerization, and ETL development.

Qualifications

• 5+ years of hands-on software engineering experience.
• Experience with system design, development, testing, and operations in a large-scale environment.
• Proficiency in Python or Java and production code maintenance.
• Experience building data processing solutions, including ETL development and data pipeline lifecycle management.
• Hands-on experience with AWS services and cloud delivery practices including IaC (Terraform) and services like S3/EC2/EMR.
• Experience with Docker and Kubernetes.
• Strong understanding of Agile delivery practices and the SDLC.
• Experience using approved AI-assisted software development tools with the ability to validate AI outputs for correctness, performance, and security.

Responsibilities

• Lead design and delivery of data processing solutions, translating complex requirements into secure, scalable, and maintainable software.
• Drive architecture and design decisions across application, data, and infrastructure layers to improve platform performance, reliability, and extensibility.
• Modernize existing workloads and pipelines, accelerating adoption of cloud-native patterns and services across private cloud and AWS.
• Build and enhance ETL and event-driven data processing capabilities, improving throughput, data quality, and observability.
• Partner with product, data, and engineering stakeholders to align on outcomes, delivery plans, and measurable success criteria.
• Improve engineering excellence through code quality, automated testing, peer reviews, documentation, and operational readiness practices.
• Mentor engineers and contribute to a collaborative culture focused on learning, experimentation, and continuous improvement.
• Drive team adoption of enterprise-authored AI-assisted engineering practices to improve code quality, delivery speed, and operational outcomes, with validation standards and promotion of reuse.

Skills

Python

Java

AWS

Docker

Kubernetes

ETL development

Data processing

CI/CD

Agile

AI-assisted tooling

Secure coding

Spark

Education

Bachelor's degree in CS/Engineering

Software engineering certification

Tools

Terraform

Spark

Job description

Job Description Bring your expertise to a team modernizing large‑scale data processing platforms and engineering practices. You will help us accelerate our cloud adoption, improve how data products are built and operated, and raise the bar on quality, reliability, and delivery velocity through strong software engineering discipline.

As a Lead Software Engineer at JPMorganChase within Corporate Technology on a data processing engineering team, you will drive end‑to‑end delivery of modern data solutions and platform modernization across private cloud and Amazon Web Services (AWS). You will partner with stakeholders across technology and the business to solve complex data processing problems with scalable, resilient engineering.

Job Responsibilities

• Lead design and delivery of data processing solutions, translating complex requirements into secure, scalable, and maintainable software.
• Drive architecture and design decisions across application, data, and infrastructure layers to improve platform performance, reliability, and extensibility.
• Modernize existing workloads and pipelines, accelerating adoption of cloud‑native patterns and services across private cloud and Amazon Web Services (AWS).
• Build and enhance extract, transform, load (ETL) and event‑driven data processing capabilities, improving throughput, data quality, and observability.
• Partner with product, data, and engineering stakeholders to align on outcomes, delivery plans, and measurable success criteria.
• Improve engineering excellence through code quality, automated testing, peer reviews, documentation, and operational readiness practices.
• Mentor engineers and contribute to a collaborative culture focused on learning, experimentation, and continuous improvement.
• 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.
• Apply 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.
• Hands‑on experience with system design, application development, testing, and operational stability in a large‑scale environment.
• Proficiency in at least one modern programming language (e.g., Python or Java) and experience developing, debugging, and maintaining production code.
• Experience building data processing solutions, including extract, transform, load (ETL) development and data pipeline lifecycle management (design, build, test, deploy, maintain).
• Hands‑on experience with Amazon Web Services (AWS) services and cloud delivery practices, including infrastructure as code (e.g., Terraform) and services such as Amazon Simple Storage Service (Amazon S3), Amazon Elastic Compute Cloud (Amazon EC2), and Amazon EMR.
• Experience with containerization and orchestration technologies such as Docker and Kubernetes.
• Strong understanding of Agile delivery practices and the software development life cycle.
• 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 practices.

Preferred Qualifications, Capabilities, And Skills

• Experience with distributed data processing using Spark and modern data platforms (e.g., Databricks).
• Advanced proficiency in Python and/or Java for data engineering and platform development.
• Experience with relational databases (e.g., Oracle) and/or cloud data platforms, including performance tuning and query optimization.
• Strong analytical skills to support data understanding, quality investigation, and reporting use cases.
• Knowledge of banking and financial services domain concepts relevant to data processing and reporting.

ABOUT US

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 for more information about requesting an accommodation.

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

About The Team

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.