Lead Software Engineer- Platform with AWS

JPMorgan Chase & Co.; Plano (TX); On-site; USD 150,000 - 230,000; Full time

Job summary

JPMorgan Chase & Co. in Plano, TX seeks a Lead Software Engineer to drive secure, scalable technology solutions across multiple business functions. You will lead AI-assisted engineering practices, guide architectural evaluations, and mentor teams in enterprise standards.

The role requires hands-on coding in Python/Go/Java/Spring Boot, Kubernetes, and extensive cloud experience, with strong CI/CD and security focus. Join a collaborative Agile environment delivering trusted market-leading products.

Qualifications

• Formal training or certification on software engineering concepts and 5+ years applied experience.
• Proficient with AWS (EKS, ECS, Lambda, MongoDB, PostgreSQL, DynamoDB, API Gateway, RDS).
• Demonstrated experience leading AI-assisted software development tools and setting quality expectations.
• Strong understanding of responsible AI use in engineering workflows and security.
• Hands-on experience with Kubernetes (K8s).
• Proficiency in Python, Go, Java or Spring Boot.
• Experience with automation and continuous delivery methods.
• Full SDLC expertise and strong Agile, CI/CD, resiliency, and security knowledge.
• Experience with cloud, AI/ML, mobile or related technical disciplines.

Responsibilities

• Executes creative software solutions, design, development, and troubleshooting.
• Develops secure production code and reviews code written by others.
• Drives team adoption of enterprise AI-assisted engineering practices to improve quality and speed.
• Applies SDLC tools and AI-assisted development to improve automation value.
• Identifies opportunities to automate recurring issues for stability.
• Leads evaluation sessions with vendors and internal teams on architecture and fit.
• Leads communities of practice across Software Engineering for new technologies.
• Contributes to a culture of diversity, inclusion, and respect.

Skills

Leadership

Agile methodologies

Secure coding

CI/CD

AI-assisted engineering

Cloud computing

Tools

AWS

Kubernetes

Python

Java

Spring Boot

Docker

Job description

As a Lead Software Engineer at JPMorganChase within the Corporate Sector- Chief Technology Office , youare 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

• Executes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems
• Develops secure high-quality production code, and reviews and debugs code written by others
• 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.
• Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems
• Leads evaluation sessions with external vendors, startups, and internal teams to drive outcomes-oriented probing of architectural designs, technical credentials, and applicability for use within existing systems and information architecture
• Leads communities of practice across Software Engineering to drive awareness and use of new and leading-edge technologies
• Adds to team culture of diversity, opportunity, inclusion, and respect

Required qualifications, capabilities, and skills

• Formal training or certification on software engineering concepts and 5+ years applied experience
• Proficient with AWS (EKS, ECS, Lambda, MongoDB, PostgreSQL, DynamoDB, API Gateway, RDS)
• 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
• Hand on exprience with Kubernetes (K8s)
• Advanced in one or more programming language(s) Python/Go/Java /Spring Boot
• Proficiency in automation and continuous delivery methods
• Proficient in all aspects 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

• Frog Artifactory
• Package Management (Maven, Gradle, NPM, Pypi, NuGet, Docker)
• GraphQL
• Monitoring tools (dynatrace, splunk)