Senior Lead Software Engineer

Be an integral part of an agile team that's constantly pushing the envelope to enhance, build, and deliver top-notch technology products. As a Senior Lead Software Engineer at JPMorganChase within Consumer and Community Banking, you will lead the design and delivery of high-impact, cloud-native software and data engineering solutions that power trusted business capabilities. You will influence technical direction across teams, raise engineering standards through strong governance and mentorship, and drive measurable improvements in quality, reliability, and delivery speed. You will also promote responsible, secure use of artificial intelligence (AI)-assisted development practices to help teams solve complex problems efficiently and safely.

Lead end-to-end delivery of secure, production-grade software and data pipelines that are scalable, resilient, and performant Drive technical decisions that shape system architecture, product design, and operational processes across multiple teams Develop high-quality code and perform rigorous reviews to improve maintainability, security, and engineering excellence Establish and govern responsible AI-assisted engineering practices (for example, code review, test acceleration, troubleshooting), including validation standards for correctness, performance, and security Be an integral part of an agile team that's constantly pushing the envelope to enhance, build, and deliver top-notch technology products. Partner with product, data, risk, and operations stakeholders to translate business needs into well-designed technical solutions Design analytics-ready data assets (curated datasets, semantic layers, and metric definitions) with strong usability and consistency Optimize distributed processing and data modeling patterns to improve throughput, cost efficiency, and reliability Strengthen observability and data quality through monitoring, alerting, lineage, and measurable service-level outcomes Mentor and coach engineers, setting clear expectations and raising the bar on engineering rigor and delivery discipline Required qualifications, capabilities, and skills Formal training or certification on software engineering concepts and 5+ years applied experience Experience leading design and delivery of complex, cloud-native software or data engineering solutions in production environments Strong knowledge of data engineering fundamentals, including data structures, performance tuning, distributed processing, and modeling patterns Demonstrated ability to build and maintain analytics-ready data products with attention to quality, consistency, and governance Hands-on experience with modern software development life cycle practices, including automated testing and continuous integration and delivery Experience guiding teams on safe, compliant use of AI-assisted development tools, including clear validation practices for AI outputs Strong understanding of secure engineering practices, data sensitivity handling, and resiliency expectations in enterprise environments Proven ability to solve ambiguous technical problems independently and influence outcomes across teams through clear technical leadership Preferred qualifications, capabilities, and skills Hands-on experience with cloud and containers (AWS, Microsoft Azure, or Google Cloud Platform; Docker; Kubernetes) Experience with batch and distributed compute (Apache Spark; managed platforms such as Databricks or equivalents) Experience with streaming and messaging platforms (Kafka or equivalent) Experience with orchestration and transformation tools (Airflow and dbt or equivalents) Experience with Lakehouse storage and table formats (for example, Delta Lake, Apache Iceberg, or Apache Hudi) and strong SQL performance tuning Familiarity with infrastructure as code (IaC) tooling (Terraform or equivalent) and operational excellence practices (monitoring, alerting, and reliability engineering)