Job responsibilities
- Build automated, self-healing data operations using agentic frameworks and AI-driven workflows for intelligent monitoring, optimization, and remediation
- Design and deploy data solutions using AWS services including S3, Lambda, EKS (Elastic Kubernetes Service), and Step Functions
- Implement Infrastructure as Code (IaC) practices for reproducible and scalable deployments
- Drives team adoption of enterprise-authorized AI-assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test strategy acceleration, incident/root-cause analysis support), while establishing consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective patterns across the team.
- Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation.
- Build and optimize scalable data ingestion, transformation, and analytics solutions using Apache Spark, AWS Glue, and Apache Iceberg
- Develop and manage both batch and real-time data pipelines leveraging Apache Kafka and Apache Flink for streaming data processing. Implement Data Lake architectures with efficient data organization, partitioning, and governance strategies
- Design and architect end-to-end data solutions from ingestion to analytics, ensuring scalability, reliability, and performance at enterprise scale
- Define data architecture standards and best practices for batch and real-time data processing pipelines
- Formal training or certification on software engineering concepts and 5+ years applied experience
- Demonstrated experience leading effective use of approved AI-assisted software development tools (e.g., for coding, code review, test acceleration, troubleshooting) with the ability to set team expectations for validating AI outputs for correctness, performance, and security.
- Strong understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; experience coaching engineers on safe, compliant adoption within delivery practices
- Experience with modern data engineering practices including DataOps, data observability, and data governance
- Deep expertise in data ingestion, transformation, and analytics using Apache Spark, AWS Glue, Apache Iceberg, and Data Lake architectures
- Proven experience designing and managing batch and real-time data pipelines with Apache Kafka and Apache Flink
- Strong hands-on experience with AWS cloud services including S3, Lambda, EKS, and Step Functions
- Experience building automated solutions using agentic frameworks and AI-driven workflows for intelligent data operations
- Advanced proficiency in programming languages such as Python, Scala, or Java with strong SQL skills
- Demonstrated ability to architect end-to-end data solutions from ingestion to analytics at scale
Skills Required
- Formal training or certification in software engineering concepts
- At least 5 years of applied software engineering experience
- Experience leading approved AI-assisted software development tools and validating AI outputs
- Knowledge of responsible AI use, data sensitivity, secure input/output handling, resiliency, and security practices
- Experience coaching engineers on safe and compliant AI-assisted development
- Experience with DataOps, data observability, and data governance
- Deep expertise with Apache Spark, AWS Glue, Apache Iceberg, and data lake architectures
- Experience designing and managing batch and real-time pipelines using Apache Kafka and Apache Flink
- Hands-on experience with AWS S3, Lambda, EKS, and Step Functions
- Experience building automated data operations using agentic frameworks and AI-driven workflows
- Advanced proficiency in Python, Scala, or Java
- Strong SQL skills
- Ability to architect end-to-end data solutions at scale
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 — Health coverage is considered comprehensive, including medical, dental, and vision, alongside wellness and mental health resources. Some locations add onsite health centers and related wellbeing support.
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Retirement Support — Retirement offerings include a 401(k)-type savings plan and related financial benefits, with options such as employee stock purchase participation. Financial planning resources are also highlighted to support long-term savings.
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Parental & Family Support — Paid parental leave of 16 weeks for birth or adoption is available for all parents. Child care and back-up child care resources further reinforce family support.
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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