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 at JPMorganChase with in Enterprise Technology Cloud Foundational Services, 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 delivering critical technology solutions across multiple technical areas within various business functions in support of the firm's business objectives.
Job Responsibilities
- Execute creative software solutions, design, development, and technical troubleshooting, thinking beyond routine or conventional approaches to build solutions or break down technical problems.
- Deliver end-to-end solutions in the form of cloud-native, microservices-based applications, leveraging the latest technologies and best industry practices.
- Design, develop, and deploy resilient, fault-tolerant applications on AWS, leveraging services such as ECS, EKS, Lambda, RDS, S3, and API Gateway to ensure high availability and operational excellence.
- Provision, manage, and maintain cloud infrastructure using Terraform, enforcing infrastructure-as-code best practices, reusable module design, and consistent environment management across development, staging, and production.
- Architect and build agentic AI applications using modern frameworks (e.g., LangChain, LangGraph, AutoGen, CrewAI, or AWS Bedrock Agents), enabling autonomous, multi-step reasoning and tool-use capabilities within production-grade systems.
- Identify opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems.
- 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.
- Lead communities of practice across Software Engineering to drive awareness and use of new and leading-edge technologies.
- Promptly investigate and resolve issues, ensuring they do not resurface.
- Design and build scalable, secure, and reliable solutions by leveraging modern architectural patterns that ensure zero-downtime releases and optimize data performance.
Required Qualifications, Capabilities, and Skills
- Formal training or certification on software engineering concepts and 5+ years applied experience
- 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
- Proficiency in back-end technologies (e.g., Python, Flask, Django) with experience building microservices-based applications; for full-stack roles, proficiency also includes front-end technologies (e.g., HTML, CSS, JavaScript, TypeScript, React, Angular).
- Strong hands-on experience developing and deploying resilient applications on AWS, including deep familiarity with core AWS services, high-availability design patterns, disaster recovery strategies, and AWS Well-Architected Framework principles.
- Strong understanding and hands-on experience in cloud infrastructure provisioning using Terraform, including writing modular, reusable infrastructure-as-code, managing remote state, and integrating Terraform into CI/CD pipelines.
- Hands-on experience building agentic AI applications using one or more frameworks (e.g., LangChain, LangGraph, AutoGen, CrewAI, AWS Bedrock Agents), including designing multi-agent workflows, tool integrations, memory management, and orchestration patterns.
- Experience working with cloud platforms (e.g., AWS, Azure, GCP), distributed systems, and web technologies, including RESTful APIs and web services, WebSockets, and JSON.
- Experience with agile development methodologies (e.g., Scrum) and an understanding of the software development life cycle..
- Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security.
- Demonstrated proficiency in software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.).
Preferred Qualifications, Capabilities, and Skills
- Strong soft skills, including presentation, negotiation, mentoring, and stakeholder management.
- Strong problem-solving, analytical, and communication skills.
- Ability to drive broader impact by sharing and contributing best practices.
- Experience in the banking domain.
- AWS certification (e.g., AWS Certified Solutions Architect – Associate/Professional, AWS Certified DevOps Engineer, or AWS Certified Machine Learning – Specialty).
- Experience with AWS CDK or CloudFormation as complementary infrastructure tooling alongside Terraform.
- Familiarity with LLM evaluation frameworks, prompt engineering, and responsible AI practices in the context of agentic system design.
About Us
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 in software engineering concepts and 5+ years of applied experience
- Experience leading approved AI-assisted software development tools for coding, code review, testing, and troubleshooting, including validation of AI outputs
- Understanding of responsible AI use, data sensitivity, secure input and output handling, resiliency, security, and compliant adoption practices
- Proficiency in backend technologies such as Python, Flask, or Django, with experience building microservices applications
- Hands-on experience developing and deploying resilient applications on AWS, including high availability, disaster recovery, and AWS Well-Architected principles
- Hands-on experience provisioning cloud infrastructure with Terraform, including reusable modules, remote state, and CI/CD integration
- Hands-on experience building agentic AI applications using frameworks such as LangChain, LangGraph, AutoGen, CrewAI, or AWS Bedrock Agents
- Experience designing multi-agent workflows, tool integrations, memory management, and orchestration patterns
- Experience with cloud platforms, distributed systems, RESTful APIs, web services, WebSockets, and JSON
- Experience with agile development methodologies and software development life cycle practices
- Advanced understanding of CI/CD, application resiliency, and security
- Proficiency in software applications and technical processes within a technical discipline such as cloud, artificial intelligence, or machine learning
- Strong presentation, negotiation, mentoring, and stakeholder management skills
- Strong problem-solving, analytical, and communication skills
- Experience in the banking domain
- AWS certification, such as Solutions Architect, DevOps Engineer, or Machine Learning Specialty
- Experience with AWS CDK or CloudFormation alongside Terraform
- Familiarity with LLM evaluation frameworks, prompt engineering, and responsible AI practices for agentic systems
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.
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Healthcare Strength — Medical, dental, vision, and mental-health coverage are broad, with wellness incentives, on-site or virtual care, and an EAP offering coaching and counseling. Plan materials emphasize accessible options, including multiple medical choices and tools to manage costs.
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Parental & Family Support — Paid parental leave extends up to 16 weeks for all parents, supplemented by paid Critical Caregiver Leave. Family resources include backup childcare via Bright Horizons, lactation support and milk-shipping, family-building assistance, and even a free five-month SNOO rental for newborns.
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Retirement Support — Retirement programs include a 401(k) with an annual company match and automatic pay credits for most employees, with a legacy pension available to earlier hires. An Employee Stock Purchase Plan at a 5% discount further supports long-term savings.
JPMorganChase Insights
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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