As a Lead Cloud Software Engineer at JPMorganChase within the Cloud Financial Management organization, you design and build modern, cloud-native software solutions with a strong focus on cost optimization. This role is hands-on and requires advanced engineering skills to develop scalable services, data pipelines, and automation that improve cloud efficiency, governance, and performance. You will also apply AI skills and develop/manage AI agents that enable natural-language querying and analysis of large-scale cloud financial data. You will collaborate across teams to deliver best-in-class outcomes and accelerate cloud adoption throughout the firm.
Our team delivers comprehensive financial management solutions for optimizing cloud resource usage, cost efficiency, and performance. We focus on leveraging cloud technologies and AI to drive digital transformation and cloud adoption throughout the firm.
Job Responsibilities
- Design, build, test, deploy, and maintain cloud-native AWS solutions (S3, EC2, Lambda, Glue, Step Functions) focused on cost efficiency and optimized resource usage.
- Define and maintain engineering/architecture standards, cloud resource management practices, governance frameworks, and security/compliance controls.
- Build and operate reliable pipelines that enable cost optimization, data flow, and scalable processing.
- Develop an optimization and recommendation engine, including AI agents and AI-driven workflow automation for large-scale processing and cost improvements.
- Partner with Product Managers and domain leads to understand needs, provide best-practice guidance, and deliver training/support to domain teams.
- Monitor and optimize performance, reliability, and scalability; write/analyze Splunk queries on AWS CloudTrail to support monitoring, alerting, and security visibility.
- Use SDLC toolchain capabilities, including enterprise-authorized AI-assisted development and modern coding productivity tools, and stay current on cloud/software engineering trends.
- Promote a culture of diversity, opportunity, inclusion, and respect.
Required qualifications, capabilities, and skills
- Proficiency in Python and SQL, able to write maintainable code for data processing and analysis (experience with performance/scaling is a plus).
- Working knowledge of AWS and cloud-native design, with hands-on experience in several services such as S3, EC2, ECS, Lambda, Glue (depth in all is not required).
- Experience using enterprise-approved AI-assisted development tools for coding and delivery tasks (e.g., code review, testing, troubleshooting), with sound judgment on when/how to validate AI-generated outputs.
- Understanding of responsible AI use in engineering workflows, including secure handling of inputs/outputs and awareness of data sensitivity, resiliency, and security expectations.
- Familiarity with Data Lake / Big Data concepts and technologies; experience working with large datasets is preferred.
- Experience with infrastructure as code (Terraform preferred; similar tools acceptable) for provisioning and managing cloud resources.
- Ability to contribute to resilient systems with solid engineering fundamentals (code quality, testing, and CI/CD); deep expertise in all areas is not mandatory.
- Exposure to workflow automation and/or AI agent patterns that can query and analyze data securely (hands-on experience preferred, openness to learn acceptable).
- Experience building RESTful APIs and microservices; familiarity with React/TypeScript is a plus but not required.
- Ability to write or learn Splunk queries; prior experience analyzing AWS CloudTrail logs is preferred.
- Nice to have: experience with cloud cost optimization strategies, and building pipelines/engines for resource efficiency.
Skills Required
- Proficiency in Python and SQL
- Experience with performance and scaling of data processing code
- Working knowledge of AWS and cloud-native design
- Hands-on experience with AWS services (S3, EC2, ECS, Lambda, Glue, Step Functions)
- Experience using enterprise-approved AI-assisted development tools
- Understanding of responsible AI use, secure handling of inputs/outputs, and data sensitivity
- Familiarity with Data Lake/Big Data concepts; experience with large datasets
- Experience with infrastructure as code (Terraform preferred)
- Solid engineering fundamentals: code quality, testing, CI/CD
- Exposure to workflow automation and/or AI agent patterns (hands-on preferred)
- Experience building RESTful APIs and microservices
- Ability to write or learn Splunk queries; prior experience analyzing AWS CloudTrail logs
- Knowledge of cloud cost optimization strategies and building pipelines/engines for resource efficiency
- Familiarity with React and TypeScript
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 comprehensive, with on-site clinics, preventive care, and specialized supports such as maternity nurse guidance and fertility treatments. Wellness activities can help offset copays and out-of-pocket costs, reinforcing the perceived strength of health benefits.
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Retirement Support — A 401(k) with dollar-for-dollar matching and additional automatic pay credits reflect strong employer-backed retirement savings. An employee stock purchase plan and related financial programs further bolster long-term financial support.
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Leave & Time Off Breadth — Paid time off, sick time, holidays, and generous parental leave are provided alongside family medical leave and adoption/fertility assistance. Additional programs like caregiver support and volunteer time off expand the breadth of time-away options.
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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