Join us to shape the future of financial technology and make a meaningful impact on millions of customers worldwide.
As a Software Engineer at JPMorgan Chase in the Corporate Sector’s agile data engineering team, you will promote the development of a trusted Global Know Your Customer (KYC) and Risk Assessment Data Platform. You will work across multiple teams, define architecture and engineering standards, and deliver high-impact software that scales. You’ll collaborate with colleagues to implement secure, stable, and scalable solutions, and help shape the team’s culture and technical direction. Your expertise will support the firm’s portfolios and contribute to our ongoing success.
Job responsibilities
- Develop secure, high-quality production code for data-intensive applications and platforms
- Review code and mentor engineers to foster growth and excellence
- Create durable, reusable software frameworks and patterns for use across teams
- Drive adoption of advanced technical methods and industry-standard practices
- Advise cross-functional teams on technological matters within your domain
- Apply knowledge of tools within the Software Development Life Cycle, including AI-assisted development and automation
- Enhance automation at scale to improve value and efficiency
- Lead architectural decisions and engineering practices across multiple teams
- Collaborate with stakeholders to deliver impactful solutions
- Champion best practices in software development and data engineering
- Support a culture of innovation, inclusion, and continuous improvement
Required qualifications, capabilities, and skills
- Hands-on experience delivering system design, application development, testing, and operational stability at enterprise scale
- Expertise in Python and/or PySpark
- Knowledge of software application development and technical processes, with depth in disciplines such as cloud, AI/ML, or data engineering
- Experience in large-scale data processing, microservices, API design, Kafka, Redis, MemCached, observability tools (Dynatrace, Splunk, Grafana), and orchestration frameworks (Airflow, Temporal)
- Advanced working knowledge of relational and NoSQL databases, vector stores, data lake architectures, and data governance
- Practical cloud-native experience (AWS, Azure, or GCP)
- Ability to present and communicate effectively with senior leaders and executives
- Commitment to inclusive, collaborative teamwork
- Good problem-solving and analytical skills
- Adaptability in a fast-paced environment
- Focus on delivering secure and scalable solutions
Preferred qualifications, capabilities, and skills
- Experience with modern data platforms such as Databricks or Snowflake
- Deep hands-on experience with Spark/PySpark and other big data processing technologies
- Expertise in open-source table formats and catalog services such as Apache Iceberg
- Experience with LLM orchestration frameworks and model serving infrastructure or managed endpoints (AWS Bedrock, Azure OpenAI)
- Familiarity with emerging technologies in data engineering
- Ability to drive innovation and continuous improvement
- Passion for mentoring and developing others
About UsJ.P. Morgan is a global leader in financial services, providing strategic advice and products to the world’s most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives.
Skills Required
- Hands-on experience delivering system design, application development, testing, and operational stability at enterprise scale
- Expertise in Python and/or PySpark
- Knowledge of software application development and technical processes, including cloud, AI/ML, or data engineering
- Experience with large-scale data processing, microservices, API design, Kafka, Redis, Memcached, observability tools, and orchestration frameworks
- Advanced working knowledge of relational and NoSQL databases, vector stores, data lake architectures, and data governance
- Practical cloud-native experience with AWS, Azure, or GCP
- Ability to present and communicate effectively with senior leaders and executives
- Commitment to inclusive, collaborative teamwork
- Good problem-solving and analytical skills
- Adaptability in a fast-paced environment
- Focus on delivering secure and scalable solutions
- Experience with modern data platforms such as Databricks or Snowflake
- Deep hands-on experience with Spark/PySpark and other big data processing technologies
- Expertise in open-source table formats and catalog services such as Apache Iceberg
- Experience with LLM orchestration frameworks and model serving infrastructure or managed endpoints such as AWS Bedrock or Azure OpenAI
- Familiarity with emerging technologies in data engineering
- Ability to drive innovation and continuous improvement
- Passion for mentoring and developing others
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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