Senior Lead Software Engineer - Python, Golang, Java

JPMorganChase; Jersey City (NJ); On-site; USD 140,000 - 190,000; Full time

Job summary

JPMorganChase seeks a Senior Lead Software Engineer in its Corporate Sector - CFS Cloud Enablement Team to help build secure, scalable cloud automation and AI/ML workflows across AWS, Azure, and GCP.

You''ll lead multi-team efforts, design end-to-end pipeline solutions, and drive best practices in CI/CD, IaC with Terraform, and responsible AI governance. Strong Python, cloud, and leadership skills are essential for delivering high-impact enterprise software.

Qualifications

• Formal training or certification in software engineering concepts.
• 10+ years applied experience delivering system design, application development, testing, and operational stability.
• Hands-on experience delivering production-grade AI/ML and automation solutions.
• Advanced proficiency in Python.

Responsibilities

• Provides authoritative technical guidance and architectural direction to stakeholders and teams for AI/ML platforms and cloud-native solutions on AWS, Azure, and GCP.
• Designs, engineers, and implements end-to-end workflow automation and AI/ML pipelines from architecture to production deployment.
• Develops secure, high-quality production code and reviews code leveraging AI-assisted development practices to accelerate delivery.
• Drives architectural decisions and IaC standards across AWS environments using Terraform.

Skills

Python

AI/ML

AWS

Terraform

GitHub Copilot

CI/CD

Security

Education

Formal training or certification in software engineering concepts

Tools

Terraform

GitHub Copilot

Job description

Job Description

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

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.