Senior Lead Software Engineer

JPMorgan Chase Bank, N.A.; Columbus (OH); On-site; USD 176,000 - 260,000; Full time

Job summary

JPMorgan Chase Bank, N.A. in Jersey City, NJ seeks a Senior Lead Software Engineer to lead design and delivery of cloud-native software and data engineering solutions powering trusted business capabilities.

You will influence technical direction across teams, mentor engineers, and promote responsible AI-assisted development practices to solve complex problems safely and efficiently.

Qualifications

• 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.

Responsibilities

• 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.

Skills

Software engineering

Cloud-native design

Data engineering

AI-assisted development

Technical leadership

CI/CD practices

Security and compliance

Tools

Docker

Kubernetes

Apache Spark

Databricks

Kafka

Airflow

dbt

Delta Lake

Apache Iceberg

Terraform

Job description

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.

Job responsibilities

• 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)

Chase is a leading financial services firm, helping nearly half of America's households and small businesses achieve their financial goals through a broad range of financial products. Our mission is to create engaged, lifelong relationships and put our customers at the heart of everything we do. We also help small businesses, nonprofits and cities grow, delivering solutions to solve all their financial needs.

We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.

We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.

Equal Opportunity Employer/Disability/Veterans

Base Pay/Salary

Jersey City,NJ $175,750.00 - $260,000.00 / year