As a skilled Senior Lead Software Engineer at JPMorgan Chase, within the Commercial and Investment Bank you will design, develop, and maintain scalable data pipelines and real-time streaming solutions, leveraging cloud technologies and distributed systems. You will collaborate with cross-functional teams to deliver high-quality data solutions that drive business insights and operational efficiency across the execution platform.
Job Responsibilities
- Design and develop robust, scalable data pipelines and streaming applications using Java and Apache Kafka, forming the backbone of real-time execution and market data flows.
- Integrate with the cloud by implementing and managing data solutions on AWS, including services such as S3, Lambda, EC2, RDS, and Glue.
- Process data at scale by developing ETL processes for both batch and real-time data ingestion, transformation, and storage.
- Optimize performance by monitoring, troubleshooting, and tuning data flows to ensure reliability and efficiency in a low-latency environment.
- Collaborate cross-functionally with data scientists, analysts, and fellow engineers to understand requirements and deliver production-grade solutions.
- Document thoroughly, maintaining clear records of data flows, architecture, and operational procedures.
- Uphold security and compliance, ensuring all data solutions adhere to the firm's security, privacy, and regulatory standards.
- Uses enterprise-authorized AI capabilities within the work environment to accelerate data platform and design analysis and technical documentation, validating outputs and handling data according to sensitivity and security requirements.
- Applies reuse-first, AI-assisted practices within delivery and operational routines (e.g., validation automation and access control review support), ensuring traceability/auditability and alignment to resiliency and security expectations.
Required Qualifications, Capabilities, and Skills
Candidates should hold a Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, or a related technical field, and bring experience in data engineering and software development roles. The role demands strong proficiency in Java (core and advanced concepts), hands-on experience with Apache Kafka (producers, consumers, and stream processing), and a solid working knowledge of AWS cloud services including S3, Lambda, EC2, RDS, and Glue. Proficiency in Python is also required.
Beyond core languages and platforms, the ideal candidate will have practical experience with the following:
- ETL tools and data pipeline frameworks
- SQL and NoSQL databases
- Data modelling, data warehousing, and big data technologies
- CI/CD practices and version control (e.g., Git)
- Strong problem-solving and analytical skills, together with excellent communication and teamwork abilities, are essential for success in this collaborative, high-stakes environment.
Preferred Qualifications, Capabilities, and Skills
The following experience would distinguish a candidate, though it is not required:
- Containerization technologies (Docker, Kubernetes)
- Exposure to additional programming languages (Scala)
- Data governance and data quality best practices
- AWS certification or related credentials
- Electronic trading and market data feeds
- Familiarity with the Equities trading stack and Futures & Options market structure
- Trading data or FIX-adjacent data pipelines
- Demonstrated experience using enterprise-authorized AI capabilities within the work environment to support data engineering workflows with strong validation habits and awareness of data sensitivity.
Skills Required
- Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, or a related technical field
- Experience in data engineering and software development roles
- Strong proficiency in Java, including core and advanced concepts
- Hands-on experience with Apache Kafka producers, consumers, and stream processing
- Working knowledge of AWS S3, Lambda, EC2, RDS, and Glue
- Proficiency in Python
- Experience with ETL tools and data pipeline frameworks
- Experience with SQL and NoSQL databases
- Knowledge of data modeling, data warehousing, and big data technologies
- Experience with CI/CD practices and version control such as Git
- Strong problem-solving, analytical, communication, and teamwork skills
- Experience with Docker and Kubernetes
- Exposure to Scala or additional programming languages
- Knowledge of data governance and data quality best practices
- AWS certification or related credentials
- Experience with electronic trading and market data feeds
- Familiarity with equities trading systems and Futures and Options market structure
- Experience with trading data or FIX-adjacent data pipelines
- Experience using authorized AI capabilities in data engineering workflows with strong validation and data-sensitivity awareness
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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