Lead Software Engineer - SAS Viya

• Lead end-to-end application development in partnership with site reliability

engineering for delivery across the software development lifecycle (plan, design, build, test, release, and operate), ensuring solutions are scalable, secure, and maintainable.

• Drive technical design and architecture for distributed application

platforms, making sound trade-offs across performance, resiliency, cost, and delivery speed.

• Build and enhance software capabilities supporting analytics and data

platforms, including SAS Viya (GKP), SAS Viya (AWS), and Databricks (AWS), with clear ownership of integration patterns, automation, and operational readiness.

• Develop and maintain platform and application services that enable

onboarding, configuration, environment management, user migrations, and governed access for SAS Viya and Databricks workloads in both on prem and AWS platforms.

• Partner with product managers and stakeholders to refine requirements, define

delivery roadmaps, and translate business outcomes into well-scoped epics, user stories, and technical deliverables.

• Establish and enforce engineering standards (coding standards, API contracts,

testing strategy, documentation, security controls) and ensure consistent quality through peer review and automation.

• Lead modernization initiatives (refactoring, re-platforming, performance

optimization) to reduce technical debt and improve developer productivity and system maintainability.

• Formal training or certification on software engineering concepts and 5+

• Experience with full stack development and DevOps practices, including

service ownership models and reliability metrics (e.g., service level objectives).

• Experience operating data or analytics platforms and related tooling (e.g.,

SAS, including SAS Viya, Databricks administration, or comparable platforms).

• Experience with enterprise CI/CD, release management, and code

quality/security scanning practices and toolchains.

• AWS certification (e.g., Solutions Architect) or equivalent cloud

credentials.

• Experience with performance engineering for distributed systems, including

capacity planning and production tuning.

• Exposure to user interface development (e.g., modern web frameworks) to

support end-to-end troubleshooting and service ownership.

JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world’s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.

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.

Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we’re setting our businesses, clients, customers and employees up for success.

• Demonstrated experience building and supporting production-grade services,

with hands-on ownership of reliability, operational readiness, and root-cause remediation.

• Experience with cloud and containerized platforms and modern deployment

practices (e.g., Kubernetes, infrastructure and service automation).

• Proven ability to lead cross-functional incident, problem, and change

activities, with clear communication and disciplined follow-through.

• Drive CI/CD and release engineering practices to improve deployment

frequency, reduce change risk, and enable repeatable, automated releases across application and platform components.

• Provide technical leadership and mentorship: coach engineers, raise the bar

on design and implementation, and foster strong engineering culture and execution discipline.

• Use data (delivery metrics, quality signals, production telemetry, incident

trends, usage patterns) to prioritize improvements and measure outcomes against clear service and product KPIs.

• Experience using SAS VIYA, Databricks applications, Kubernetes experience

including experience with user onboarding, migrations, troubleshooting, incident and change management.

• Drive team adoption of enterprise-authorized AI-assisted engineering

practices to improve development throughput and quality (e.g., AI-assisted coding/refactoring, code review support, test generation/acceleration, troubleshooting and root-cause analysis support), while setting validation standards (secure coding, peer review, automated testing) and promoting reuse of proven patterns.

• Apply deep knowledge of the SDLC toolchain (source control, CI/CD, artifact

management, scanning, observability, and enterprise-authorized AI-assisted development/automation capabilities) to increase automation, reduce manual effort, and improve delivery outcomes.