Join us and shape the future of risk technology with your expertise in data engineering and software development. You will have the opportunity to push boundaries, innovate, and make a meaningful impact on our business. We value diversity, inclusion, and respect, fostering a collaborative environment where your ideas matter. Experience career growth and mobility while working with market-leading technology products. Be part of a team that thrives on creativity and continuous improvement.
As a Lead Software Engineer at JPMorgan Chase within the Data Platform & Strategy team within Corporate Risk Technology, you will design, build, and enhance advanced data engineering solutions. You will play a pivotal role in delivering secure, stable, and scalable technology products that support our business objectives. You will collaborate with agile teams, contribute to technical strategy, and drive innovation across multiple technical areas. Your work will help shape the team culture and the impact of our technology solutions.
Job Responsibilities:
- Execute creative software solutions, design, development, and technical troubleshooting to solve complex problems
- Develop secure, high-quality production code for data-intensive applications and review code written by others
- Identify opportunities to automate remediation of recurring issues and improve operational stability
- Lead evaluation sessions with external vendors, startups, and internal teams to assess architectural designs and technical credentials
- Drives adoption and governance of approved AI-assisted engineering practices across teams to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test acceleration, release readiness, incident/root-cause analysis), while establishing measurable validation standards (secure coding, peer review, automated testing) and promoting reuse of proven patterns and automation within the SDLC/TLM toolchain.
- Applies knowledge of tools within the Software Development Life Cycle toolchain, including approved AI-assisted development and automation capabilities, to improve the value realized by automation at scale.
- Drive communities of practice across Software Engineering to promote new and leading-edge technologies
- Foster a team culture of diversity, opportunity, inclusion, and respect
Required Qualifications, Capabilities, and Skills:
- Proficiency in Engineering & Architecture, AI/ML, with hands-on experience designing, implementing, testing, and ensuring operational stability of large-scale enterprise data platforms
- Advanced skills in one or more programming languages such as Java, Python, C/C++, or C#
- Practical experience delivering system design, application development, testing, and operational stability
- Working knowledge of relational and NoSQL databases and data lake architectures
- Experience developing, debugging, and maintaining code with modern programming languages and database querying languages
- Experience in large-scale data processing, microservices, API design, Kafka, Redis, MemCached, Observability tools (Dynatrace, Splunk, Grafana), and Orchestration tools (Airflow, Temporal)
- Demonstrated experience leading effective use of enterprise-authorized AI-assisted software development tools within the work environment (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 senior engineers/leads on compliant usage patterns and controls.
- Proficiency in automation, continuous delivery methods, and all aspects of the Software Development Life Cycle
- Advanced understanding of agile methodologies, CI/CD, application resiliency, and security
- Practical cloud-native experience
Preferred Qualifications, Capabilities, and Skills:
- Experience with modern data technologies such as Databricks or Snowflake
- Hands-on experience with Spark/PySpark and other big data processing technologies
- Demonstrated proficiency in software applications and technical processes within disciplines such as data engineering, cloud, artificial intelligence, machine learning, or mobile
- Knowledge of the financial services industry and their IT systems
Skills Required
- Proficiency in Engineering & Architecture, AI/ML, with hands-on experience designing, implementing, testing, and ensuring operational stability of large-scale enterprise data platforms
- Advanced skills in one or more programming languages such as Java, Python, C/C++, or C#
- Practical experience delivering system design, application development, testing, and operational stability
- Working knowledge of relational and NoSQL databases and data lake architectures
- Experience developing, debugging, and maintaining code with modern programming languages and database querying languages
- Experience in large-scale data processing, microservices, API design, Kafka, Redis, MemCached, Observability tools (Dynatrace, Splunk, Grafana), and Orchestration tools (Airflow, Temporal)
- Demonstrated experience leading effective use of enterprise-authorized AI-assisted software development tools and setting validation expectations
- Strong understanding of responsible AI use in engineering workflows, including data sensitivity, secure handling, resiliency, and security controls; experience coaching senior engineers
- Proficiency in automation, continuous delivery methods, and all aspects of the Software Development Life Cycle
- Advanced understanding of agile methodologies, CI/CD, application resiliency, and security
- Practical cloud-native experience
- Experience with modern data technologies such as Databricks or Snowflake
- Hands-on experience with Spark/PySpark and other big data processing technologies
- Demonstrated proficiency in software applications and technical processes within data engineering, cloud, AI/ML, or mobile
- Knowledge of the financial services industry and their IT systems
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.
-
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.
-
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.
-
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.
Gallery
.png){kind=logo}
