Sr Lead Software Engineer Java/Python
JPMorgan Chase & Co.
Wilmington, DE, United States
4 days ago
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Role details
Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
2 years minimum
Working hours
Regular working hours
Job source
Tech stack
Java (Programming Language)
Application Programming Interfaces (APIs)
Artificial Intelligence
Cloud Computing
Cloud Engineering
Software Quality
Information Engineering
Extract Transform Load (ETL)
Web Development
Distributed Computing Environment
Python (Programming Language)
Systems Development Life Cycle
+13 more
Service Development Studio
Software Deployment
Software Engineering
Software Systems
Toolchain
User-Centered Design
Large Language Models
Apache Spark
Backend
Information Technology
Front End Software Development
Software Coding
Data Pipelines
Job description
- 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 teamsβ 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)
Requirements
- 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, * Experience working in a large Banking or Financial Services Technology environment
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