Lead Software Engineer Python AWS

Posted 2 Days Ago
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Plano, TX, USA
Hybrid
Senior level
Financial Services
We’re one of the world’s biggest technology-driven companies
The Role
Lead development of Python-based microservices and ML-enabled applications on AWS. Participate across SDLC, design architectures, perform coding, code reviews, DevOps, and mentor engineers. Drive adoption of enterprise AI-assisted engineering practices, ensure secure, scalable deployments, and support production observability and CI/CD.
Summary Generated by Built In

We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible.

As a Lead Software Engineer Python AWS at JPMorgan Chase within the Corporate Technology, 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. As a core technical contributor, you are responsible for conducting critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives.


Job responsibilities

  • Design, Develop and implement software solutions. 
  • Solve business problems through innovation and engineering practices. 
  • Engage in the full Software Development Life Cycle (SDLC), from requirements analysis through design, development, testing, and deployment.
  • Incorporate architectural standards into application design specifications, translating technical requirements into programmed application modules, and developing and enhancing software application modules. 
  • Identify and troubleshooting application code-related issues. 
  • Take active role in code reviews to ensure solutions are aligned to predefined architectural specifications. 
  • Assist with Design reviews by recommending ways to incorporate requirements into designs and data flows. 
  • Perform development and DevOps in a distributed environment.
  • Drives 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. 
  • Applies 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
  • Experience building  Microservices using python, Docker, Jenkins, Python-Streamlit, SQL, JSON, Kubernetes, AWS EMR, AWS EC2, AWS RDBMS (Postgres, Oracle) , Apache Spark, Pyspark, Tensorflow
  • Application architecture disciplines and technical design for financial applications.
  • Experienced with pair programming agents such as GitHub Copilot to accelerate prototyping.
  • 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 
  • Solid grasp of Agile SDLC, CI/CD, and security best practices
  • Experience developing in large-scale corporate environments
  • Excellent problem-solving skills and the ability to think critically and creatively
  • Experience in mentoring and guiding junior engineers 

Preferred qualifications, capabilities, and skills

  • AWS Certified Solutions Architect certification
  • Experience in MLOps and building model serving applications
  • Experience with Agentic AI architecture and agents to solve business challenges
  • Experience in observability and production management tools (ex. Splunk / Dynatrace / Grafana)​
  • Utilize AI agents and emerging technologies to build prototypes for demonstration purposes, presenting to peer groups, business partners, and senior leadership. 
  • Define standards, best practices, and governance guidelines for the ML Platform.
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

Skills Required

  • Formal training or certification on software engineering concepts and 5+ years applied experience
  • Experience building microservices using Python, Docker, Jenkins, Streamlit, SQL, JSON, and Kubernetes
  • Experience with AWS services including AWS EMR, AWS EC2 and AWS RDBMS (Postgres, Oracle)
  • Experience with Apache Spark and PySpark
  • Experience with TensorFlow
  • Application architecture disciplines and technical design for financial applications
  • Experience using pair programming agents such as GitHub Copilot
  • Demonstrated experience leading use of AI-assisted software development tools and establishing validation standards
  • Strong understanding of responsible AI use, data sensitivity, secure handling, and coaching engineers
  • Solid grasp of Agile SDLC, CI/CD, and security best practices
  • Experience developing in large-scale corporate environments
  • Experience mentoring and guiding junior engineers
  • AWS Certified Solutions Architect certification
  • Experience in MLOps and building model serving applications
  • Experience with Agentic AI architecture and agents
  • Experience with observability and production management tools (Splunk, Dynatrace, Grafana)
  • Define standards, best practices, and governance guidelines for ML Platform

JPMorganChase Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about JPMorganChase and has not been reviewed or approved by JPMorganChase.

  • Healthcare Strength Medical, dental, vision, and mental health coverage are comprehensive, with on-site clinics, preventive care, and specialized supports such as maternity nurse guidance and fertility treatments. Wellness activities can help offset copays and out-of-pocket costs, reinforcing the perceived strength of health benefits.
  • Retirement Support A 401(k) with dollar-for-dollar matching and additional automatic pay credits reflect strong employer-backed retirement savings. An employee stock purchase plan and related financial programs further bolster long-term financial support.
  • Leave & Time Off Breadth Paid time off, sick time, holidays, and generous parental leave are provided alongside family medical leave and adoption/fertility assistance. Additional programs like caregiver support and volunteer time off expand the breadth of time-away options.

JPMorganChase Insights

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The Company
HQ: New York, NY
289,097 Employees
Year Founded: 1799

What We Do

JPMorgan Chase & Co. (NYSE: JPM) is a leading global financial services firm with assets of $3.7 trillion and operations worldwide. The firm is a leader in investment banking, financial services for consumers and small businesses, commercial banking, financial transaction processing, and asset management. A component of the Dow Jones Industrial Average, JPMorgan Chase & Co. serves millions of consumers in the United States and many of the world’s most prominent corporate, institutional and government clients under its J.P. Morgan and Chase brands. Technology fuels every aspect of our company and is at the heart of everything we do. With over 50,000 technologists globally and an annual tech spend of $12 billion, we are dedicated to improving the design, analytics, development, coding, testing and application programming that goes into creating high quality software and new products. Learn more about technology at our firm, explore resources from our Distinguished Engineers, AI & ML researchers, and other experts; access the latest episode of our TechTrends podcast, and more at www.jpmorgan.com/technology. Information about JPMorgan Chase & Co. is available at www.jpmorganchase.com. ©2023 JPMorgan Chase & Co. All rights reserved. JPMorgan Chase is an Equal Opportunity Employer, including Disability/Veterans.

Why Work With Us

Our technologists work on a diverse range of solutions that include strategic technology initiatives, big data, mobile, electronic payments, machine learning, cybersecurity, enterprise cloud development, and other state-of-the-art technologies.

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