Lead Software Engineer - Data Platform
About The Position
As a Lead Software Engineer - Data Platform at JPMorgan Chase, within the Commercial & Investment Banking – Data Analytics – Payments Technology team, you are an integral part of an agile team that enhances, builds, and delivers trusted technology products in a secure, stable, and scalable way. As a core technical contributor, you conduct critical technology solutions across multiple technical areas and business functions in support of the firm’s business objectives. The role focuses on designing, building, and managing enterprise applications and data-processing systems at scale, including data ingestion and event-driven microservices. It also includes promoting the effective and responsible use of enterprise-authorized AI-assisted engineering tools, maintaining high standards for security and quality, and ensuring production readiness and operational stability. The Lead Software Engineer partners with product managers and business stakeholders, evaluates technical solutions, and leads communities of practice across Software Engineering.
Requirements
- Formal training or certification in software engineering concepts and 5+ years of applied experience.
- Hands-on practical experience delivering system design, application development, testing, and operational stability.
- Professional experience focused on software engineering or data platform development.
- Experience leading the effective use of approved AI-assisted software development tools, including setting expectations for validating outputs for correctness, performance, and security.
- Understanding of responsible AI use in engineering workflows, including data sensitivity, secure handling of inputs and outputs, and adherence to resiliency and security expectations; experience coaching engineers on safe, compliant adoption.
- Advanced, hands-on Java development experience, including performance tuning and optimization.
- Hands-on experience with distributed data processing frameworks such as Apache Spark and Flink.
- Solid understanding of data modeling techniques, including star and snowflake schemas, and query optimization.
- Proficiency with cloud data services such as AWS S3, Glue, Redshift, Athena, EMR, and Lake Formation, or equivalents.
- Experience with AWS cloud platforms, including deploying and operating services in a cloud environment.
- Advanced understanding of agile methodologies and practices such as CI/CD, application resiliency, and security.
Nice To Haves
- Experience designing and operating data pipelines on Databricks using orchestration tools such as Apache Airflow.
- Experience with data modeling strategies, including fact and dimensional models and wide tables, to support analytics, reporting, and downstream consumption.
- Proficiency in software applications and technical processes within a technical discipline such as cloud, artificial intelligence, machine learning, or mobile.
Responsibilities
- Execute creative software solutions, including design, development, and technical troubleshooting, using approaches beyond routine or conventional solutions.
- Design, build, and manage enterprise applications at scale for robust and fault-tolerant data processing and ingestion using Spark, Kafka, and Flink.
- Drive team adoption of enterprise-authorized AI-assisted engineering practices to improve code quality, delivery speed, and operational outcomes; establish consistent validation standards and promote reuse of effective patterns.
- Apply software development lifecycle tools, including authorized AI-assisted development and automation capabilities, to improve the value realized by automation.
- Design and build event-driven microservices workflows using Kafka for inter-service communication and reliable asynchronous processing, including at-least-once delivery, retries, and dead-letter queue patterns.
- Partner with product managers and business stakeholders to translate requirements into production-grade solutions.
- Ensure production readiness through observability, alerting, incident response runbooks, and proactive problem management.
- Develop secure, high-quality production code and review and debug code written by others.
- Identify opportunities to eliminate or automate remediation of recurring issues to improve operational stability of applications and systems.
- Lead evaluation sessions with external vendors, startups, and internal teams to assess architectural designs, technical credentials, and applicability within existing systems and information architecture.
- Lead Software Engineering communities of practice to promote awareness and use of new and leading-edge technologies.
Benefits
- Competitive total rewards package, including base salary based on role, experience, skill set, and location; eligible roles may also receive commission-based pay and/or discretionary incentive compensation in cash and/or forfeitable equity.
- Comprehensive health care coverage.
- On-site health and wellness centers.
- Retirement savings plan.
- Backup childcare.
- Tuition reimbursement.
- Mental health support.
- Financial coaching.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
