Sr Lead Software Engineer Java/Python

JPMorgan Chase & Co.; Fairfax (DE); On-site; USD 180,000 - 240,000; Full time

Job summary

JPMorganChase in Finance Technology (RAPIDS) seeks a Senior Manager of Software Engineering to lead multiple engineering teams, provide technical coaching, and influence budget and architectural decisions to advance operational efficiencies.

You will drive end-to-end design and development of software solutions, build backend services with Java/Python and Spring, and deliver full-stack capabilities using React, Databricks, and AWS.

Qualifications

• Formal training or certification in software engineering concepts and 5+ years applied experience; 2+ years leading technologists.
• Experience leading teams of technologists and guiding multi-team initiatives.
• Experience with enterprise-authorized AI-assisted development and delivery tools, governance, and secure data handling.
• Strong hands-on coding in Java and/or Python, including Spring for backend.
• Full stack development with React and modern web development practices.
• Practical cloud-native engineering experience on AWS (EMR, Glue, ECS/EKS, RDS, Lambda, Step Functions).

Responsibilities

• Provide direction, oversight, and coaching for multiple software engineers.
• Influence budget, approach, and technical considerations to improve efficiency.
• Lead end-to-end design and development of software solutions from requirements to deployment.
• Serve as technical owner for key components, driving architecture, code quality, performance, and security.
• Build backend services using Java/Python and Spring; deliver full-stack capabilities with React.
• Design and implement data pipelines leveraging Databricks and cloud data services.
• Develop cloud-native solutions on AWS and ensure operational resilience and governance.

Skills

Java

Python

React

Spring

AI/ML

Leadership

Tools

AWS

Databricks

Spark

EMR

ECS/EKS

Job description

When you mentor and advise multiple technical teams and move financial technologies forward, it’s a big challenge with big impact. You were made for this.

As a Senior Manager of Software Engineering at JPMorganChase within Finance Technology (RAPIDS), you serve in a leadership role by providing technical coaching and advisory for multiple technical teams, as well as anticipate the needs and potential dependencies of other functions within the firm. As an expert in your field, your insights influence budget and technical considerations to advance operational efficiencies and functionalities.

Job responsibilities

• Provide overall direction, oversight, and coaching for a team of entry-level to mid-level software engineers that work on basic to moderately complex tasks
• Accountable for decisions that influence teams’ resources, budget, tactical operations, and the execution and implementation of processes and procedures
• 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.
• Ensures successful collaboration across teams and stakeholders
• Identifies and mitigates issues to execute a book of work while escalating issues as necessary
• Provides input to leadership regarding budget, approach, and technical considerations to improve operational efficiencies and functionality for the team
• Lead the end-to-end design and development of software solutions, from requirements to production deployment and support
• Serve as a technical owner for key components/services, driving architecture, code quality, performance, resilience, and security
• Build and maintain backend services usingJava/Python(includingSpring) and modern API patterns
• Deliverfull stackcapabilities, including front-end development usingReact, and integration with backend APIs
• Design and implement data pipelines and processing solutions leveragingDatabricks (Spark-based patterns) and cloud data services
• Build cloud-native solutions onAWS, leveraging services such as EMR, Glue, ECS/EKS, RDS, Lambda, and Step Functions
• Design, integrate, and operationalizeAI/ML and LLM-powered features(e.g., retrieval workflows, copilots/assistants, automation) with appropriate engineering rigor (testing, monitoring, governance alignment)

Required qualifications, capabilities, and skills

• Formal training or certification on software engineering concepts and 5+ years applied experience . In addition, 2 + years of experience leading technologists to manage and solve complex technical items within your domain of expertise
• Experience leading teams of technologists
• Ability to guide and coach teams on approach to achieve goals aligned against a set of strategic initiatives
• 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.
• Experience with hiring, developing, and recognizing talent
• Strong hands-on coding experience withJava and/or Python, includingSpringfor backend service development
• Full Stack development experience, includingReactand modern web development practices
• Practical cloud-native engineering experience, including deployment and operations onAWS
• Experience inAWS(EMR, GLUE, ECS/EKS, RDS, Lambda and Step Functions)
• Experience with data engineering/ETL and distributed processing;Databricksexperience (e.g., Spark, jobs/workflows, Delta patterns)
• In-depth knowledge of the services industry and their IT systems

Preferred qualifications, capabilities, and skills

• Experience working in a large Banking or Financial Services Technology environment