Lead Software Engineer-Java/Cloud

JPMorgan Chase & Co.; New York (NY); On-site; USD 120,000 - 150,000; Full time

Job summary

A major financial services firm in New York is looking for a Lead Software Engineer to advance their software engineering career. You will be part of an agile team, responsible for designing and delivering secure, scalable technology products. The ideal candidate will have over 8 years of software engineering experience, proficiency in coding, and hands-on experience with cloud technologies. This role involves technical troubleshooting, software application development, and working with large data sets, aimed at continuous improvement. A respectful team culture is emphasized.

Qualifications

• 8+ years of applied experience in software engineering.
• Experience in system design, application development, testing, and operational stability.
• Hands-on experience with cloud technologies.

Responsibilities

• Design and deliver market-leading technology products.
• Develop high-quality production code and maintain algorithms.
• Analyze large data sets for continuous improvement.

Skills

Software engineering concepts

System design

Application development

Cloud technologies

Monitoring tools (Splunk, Dynatrace)

Coding (Spring, Java)

Kubernetes

Database technologies (SQL, NoSQL)

Agile methodologies

AI tools

Education

Formal training or certification in software engineering

Tools

Splunk

Dynatrace

Postman

Job description

We have an exciting and rewarding opportunity for you to take your software engineering career to the next level.

As a Lead Software Engineer at JPMorganChase within the Consumer and Community Banking, you serve as a seasoned member of an agile team to design and deliver trusted market‑leading technology products in a secure, stable, and scalable way. You are responsible for carrying out critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives.

Job responsibilities

• Executes software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems
• Creates secure and high‑quality production code and maintains algorithms that run synchronously with appropriate systems
• Produces architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development
• Gathers, analyzes, synthesizes, and develops visualizations and reporting from large, diverse data sets in service of continuous improvement of software applications and systems
• Proactively identifies hidden problems and patterns in data and uses these insights to drive improvements to coding hygiene and system architecture
• Contributes to software engineering communities of practice and events that explore new and emerging 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 8+ years applied experience
• Hands‑on experience in system design, application development, testing, and operational stability
• Hands‑on experience with cloud technologies
• Experience with monitoring and tracing tools (e.g. Splunk, Dynatrace, Postman, etc.)
• Proficient in coding in one or more frameworks(s) (e.g., Spring, Java)
• Familiarity with Kubernetes
• Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages
• Demonstrated experience with database technologies including SQL and NoSQL
• Knowledge of the Software Development Life Cycle
• Understanding of agile methodologies such as CI/CD, Application Resiliency, and Security
• Demonstrated knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)

Preferred qualifications, capabilities, and skills

• Familiarity with modern front‑end technologies
• Knowledge of AI tools (e.g., Agent, and Agentic)
• AI certifications
• Cloud certifications