As a Software Engineer III at JPMorganChase 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.
Enigma is an AI-powered incident analytics platform that transforms ITSM data into actionable insights for operational intelligence. We're seeking a Software Engineer III to architect and own our data integration strategy—designing how operational data flows from Snowflake and external sources into our Oracle/Elasticsearch platform. This role requires a well-rounded engineer who excels at data modeling and pipeline design while contributing to backend development. You'll balance building robust data foundations with delivering features that leverage AI/ML capabilities to serve hundreds of users across the organization.
Job responsibilities
- Design and implement data ingestion pipelines from Snowflake, ServiceNow APIs, and external sources into Oracle database with Elasticsearch indexing
- Architect schemas, transformation logic, and data models that optimize for query performance, search relevance, and feature requirements
- Own end-to-end data quality, observability, and performance: freshness checks, schema validation, monitoring/alerting, and clear SLAs
- Establish data accessibility standards via REST APIs and MCP Server interfaces for AI/LLM consumption
- Develop backend services using Java (Spring Boot) and Python to support analytical and AI-powered features
- Collaborate with Data Scientist on vectorization strategies and data preparation for LLM-based summarization and semantic search
- Leverage enterprise-authorized AI tools (Copilot, Claude Code) to accelerate development while maintaining code quality and security standards
- Create documentation, runbooks, and support processes; participate in production deployments and incident triage
- 5+ years software engineering experience with demonstrated expertise in data architecture and backend development
- Strong data modeling and database design skills - complex schemas, query optimization, performance tuning
- Proficiency in Java and Python - production-grade development in both languages
- Hands-on Snowflake experience - SQL, data warehousing patterns, cost/performance optimization
- Oracle or PostgreSQL expertise - indexing strategies, stored procedures, query plan analysis
- Experience building production data pipelines with data quality frameworks and monitoring
- REST API design and development experience
- Spring Boot or similar Java backend framework
- Solid understanding of Software Development Life Cycle and agile methodologies
- Strong problem-solving and communication skills with both technical and business stakeholders
- Elasticsearch or OpenSearch - indexing strategies, query DSL, vector search capabilities
- Experience with AI/ML data preparation, vectorization, or LLM integration
- Familiarity with ITSM/ServiceNow datasets
- Experience building MCP servers or similar integrations connecting AI applications to data sources
- Python data libraries (pandas, numpy)
- Hibernate Search or ORM-based search frameworks
- CI/CD tools (Jenkins, GitHub Actions)
- Angular or modern frontend frameworks
Skills Required
- 5+ years of software engineering experience with expertise in data architecture and backend development
- Strong data modeling and database design skills, including query optimization and performance tuning
- Production-grade proficiency in Java and Python
- Hands-on Snowflake experience, including SQL, data warehousing patterns, and cost/performance optimization
- Oracle or PostgreSQL expertise, including indexing strategies, stored procedures, and query plan analysis
- Experience building production data pipelines with data quality frameworks and monitoring
- REST API design and development experience
- Experience with Spring Boot or a similar Java backend framework
- Understanding of software development lifecycle and agile methodologies
- Strong problem-solving and communication skills with technical and business stakeholders
- Elasticsearch or OpenSearch experience, including indexing strategies, query DSL, and vector search
- Experience with AI/ML data preparation, vectorization, or LLM integration
- Familiarity with ITSM or ServiceNow datasets
- Experience building MCP servers or similar AI-to-data integrations
- Experience with Python data libraries such as pandas and NumPy
- Experience with Hibernate Search or ORM-based search frameworks
- Experience with CI/CD tools such as Jenkins or GitHub Actions
- Experience with Angular or modern frontend frameworks
JPMorganChase Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about JPMorganChase and has not been reviewed or approved by JPMorganChase.
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Healthcare Strength — Medical, dental, vision, and mental-health coverage are broad, with wellness incentives, on-site or virtual care, and an EAP offering coaching and counseling. Plan materials emphasize accessible options, including multiple medical choices and tools to manage costs.
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Parental & Family Support — Paid parental leave extends up to 16 weeks for all parents, supplemented by paid Critical Caregiver Leave. Family resources include backup childcare via Bright Horizons, lactation support and milk-shipping, family-building assistance, and even a free five-month SNOO rental for newborns.
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Retirement Support — Retirement programs include a 401(k) with an annual company match and automatic pay credits for most employees, with a legacy pension available to earlier hires. An Employee Stock Purchase Plan at a 5% discount further supports long-term savings.
JPMorganChase Insights
What We Do
JPMorgan Chase & Co. (NYSE: JPM) is a leading global financial services firm with assets of $3.7 trillion and operations worldwide. The firm is a leader in investment banking, financial services for consumers and small businesses, commercial banking, financial transaction processing, and asset management. A component of the Dow Jones Industrial Average, JPMorgan Chase & Co. serves millions of consumers in the United States and many of the world’s most prominent corporate, institutional and government clients under its J.P. Morgan and Chase brands. Technology fuels every aspect of our company and is at the heart of everything we do. With over 50,000 technologists globally and an annual tech spend of $12 billion, we are dedicated to improving the design, analytics, development, coding, testing and application programming that goes into creating high quality software and new products. Learn more about technology at our firm, explore resources from our Distinguished Engineers, AI & ML researchers, and other experts; access the latest episode of our TechTrends podcast, and more at www.jpmorgan.com/technology. Information about JPMorgan Chase & Co. is available at www.jpmorganchase.com. ©2023 JPMorgan Chase & Co. All rights reserved. JPMorgan Chase is an Equal Opportunity Employer, including Disability/Veterans.
Why Work With Us
Our technologists work on a diverse range of solutions that include strategic technology initiatives, big data, mobile, electronic payments, machine learning, cybersecurity, enterprise cloud development, and other state-of-the-art technologies.
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