JOB DESCRIPTION
Join us to advance your software engineering career while building impactful technology solutions. Grow your skills and make a difference with a collaborative team.
As a Manager of Software Engineering at JPMorgan Chase within Corporate Technology , you will lead the design, development, and delivery of innovative software solutions.
Job Responsibilities
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Lead the design, development, and delivery of innovative software solutions, solving complex problems with creative and forward-thinking approaches
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Build and maintain high-quality, secure, and production-grade code, while mentoring and reviewing the work of other engineers
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Drive architecture decisions to ensure scalability, resiliency, and zero-downtime deployments
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Identify opportunities to automate operational processes and eliminate recurring issues, improving platform stability and efficiency
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Develop and implement data-intensive and statistical solutions using Java/Scala on large-scale datasets
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Design and build AI-enabled applications, including AI Agents and agentic workflows
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Work across hybrid data ecosystems (AWS, Databricks, Kubernetes)
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Ensure code quality through unit testing, integration testing, and continuous validation practices
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Collaborate with cross-functional teams to deliver end-to-end solutions aligned with enterprise standards
Required Qualifications, Capabilities, and Skills
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10+ years of hands-on experience in software engineering with formal training or equivalent practical expertise
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Strong proficiency in Java and Spring Boot, with working knowledge of SQL and modern front-end frameworks (e.g., React)
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Demonstrated experience in designing scalable, secure, and resilient distributed systems
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Strong understanding of modern architecture patterns (microservices, event-driven, API-first)
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Experience with CI/CD pipelines, containerization (Docker, Kubernetes/ECS/EKS), and Infrastructure as Code
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Expertise in API design (REST, GraphQL) and integration patterns
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Hands-on experience building applications on AWS or other public cloud platforms
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Experience with Generative AI systems, including:
- RAG (Retrieval-Augmented Generation) architecture
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AI orchestration frameworks (LangChain, LlamaIndex, etc.)
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LLM evaluation frameworks and responsible AI practices (guardrails, content filtering)
Preferred Qualifications, Capabilities, and Skills
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Deep expertise in Java, object-oriented design, and system design
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Experience with ElasticSearch, Oracle, MongoDB, and modern data platforms
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Proven experience building AI-enabled applications and agentic architecture
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Experience developing reusable AI Agent skills/frameworks to accelerate engineering teams
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