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As an Experienced Software Engineer at JPMorganChase within the Corporate Technology team, you will be a key member of an agile team, responsible for designing and delivering the trusted, market-leading data platforms and infrastructure that our products and teams depend on, in a secure, stable, and scalable manner. In this role, you will build and operate the foundational data platform components like ingestion, processing, storage, and access layers, that enable analytics, machine learning, and application workloads across the firm. You will leverage a mix of Python and Java, alongside big data technologies such as Spark and Databricks, to accelerate and harden our data ecosystem.
Job responsibilities
- Regularly provides technical guidance and direction to support the business and its technical teams, contractors, and vendors
- Designs, develops, and operates scalable data platform services and pipelines, and produces secure and high-quality production code, while reviewing and debugging code written by others
- Drives decisions that influence data platform architecture, application functionality, and technical operations and processes
- Serves as a function-wide subject matter expert in one or more areas of focus (e.g., distributed data processing, data storage, platform reliability)
- Actively contributes to the engineering community as an advocate of firmwide frameworks, tools, and practices of the Software Development Life Cycle
- Leads team adoption of enterprise-authorized AI-assisted engineering practices and SDLC/TLM automation to improve delivery speed, quality, and operational outcomes, while setting expectations for human validation, secure handling of inputs/outputs, and consistent use of reusable patterns across teams.
- 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 and support capacity unlock initiatives.
- Influences peers and project decision-makers to consider the use and application of leading-edge data and backend technologies
Required qualifications, capabilities, and skills
- Formal training or certification on software engineering concepts and 10+ years applied experience
- Hands-on practical experience delivering system design, application development, testing, and operational stability for data platforms and backend systems
- Advanced proficiency across both Python and Java, with strong general backend engineering experience (e.g., building APIs, services, and distributed systems)
- Strong big data and database skills, including hands-on experience with Spark, Databricks, and/or Data Lake, and building large-scale data pipelines
- Experience designing and operating data platform components like ingestion, processing, storage, and access/serving layers and experience with AWS cloud computing using ECS, EKS, EMR, Lambda, etc.
- Experience leading responsible adoption of enterprise-authorized AI-assisted development and delivery tools across engineering teams, including defining ways of working (review/validation expectations), measuring outcomes, and ensuring secure handling of data.
- Understanding of responsible AI use in engineering workflows, including data sensitivity considerations, resiliency/security implications, and governance expectations; ability to coach engineers on compliant and effective usage.
- Advanced knowledge of software applications and technical processes with considerable in-depth knowledge in one or more technical disciplines (e.g., cloud, distributed data processing, artificial intelligence, machine learning, etc.)
- Ability to tackle design and functionality problems independently with little to no oversight
- Experience in developing, debugging, and maintaining code in a large corporate environment and ability to collaborate well with global teams in geographically distributed locations across time zones
- Self-starter, able to reach out to various team members, users, and partner teams to get solutions delivered.
Preferred qualifications, capabilities, and skills
- AI, ML, Claude, MCP
- Familiar with agile development methodologies (e.g., Scrum) and CI/CD, Applicant Resiliency, and Security
- Experience with data orchestration and workflow tools (e.g., Airflow) and streaming technologies (e.g., Kafka)
Skills Required
- Formal training or certification in software engineering and 10+ years applied experience
- Hands-on experience in system design, application development, testing, and operational stability for data platforms and backend systems
- Advanced proficiency in both Python and Java
- Strong big data and database skills, hands-on experience with Spark, Databricks, and/or Data Lake, and building large-scale data pipelines
- Experience designing and operating data platform components (ingestion, processing, storage, access/serving) and with AWS (ECS, EKS, EMR, Lambda)
- Experience leading responsible adoption of enterprise-authorized AI-assisted development and delivery tools across engineering teams
- Understanding of responsible AI use in engineering workflows, including data sensitivity, resiliency/security, and governance; ability to coach engineers
- Advanced knowledge in one or more technical disciplines (cloud, distributed data processing, AI/ML)
- Ability to independently tackle design and functionality problems with little to no oversight
- Experience developing, debugging, and maintaining code in a large corporate environment and collaborating with globally distributed teams
- Self-starter, able to coordinate with team members, users, and partner teams to deliver solutions
- AI, ML, Claude, MCP
- Familiarity with agile methodologies (Scrum), CI/CD, resiliency, and security practices
- Experience with data orchestration/workflow tools (Airflow) and streaming technologies (Kafka)
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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