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Lead Software Engineer - SAS Viya

JPMorganChase Columbus, OH

Columbus, OH

Today

Full time Application Security CI/CD Cloud Data Engineering

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Job Description

Join JPMorganChase in Columbus, OH (onsite) as a Lead Software Engineer within Corporate Technology. This role blends hands-on engineering with technical leadership, focused on building scalable, secure distributed application platforms. You will lead SAS Viya and Databricks-related analytics and data platform capabilities across on-prem and AWS, while improving reliability, operational readiness, and modernization outcomes through disciplined engineering practices.

What you’ll do

Lead end-to-end application development from plan and design through build, test, release, and operate, partnering with Site Reliability Engineering to deliver solutions that are scalable, secure, and maintainable.
Drive technical design and architecture for distributed application platforms, balancing performance, resiliency, cost, and delivery speed.
Build and enhance analytics and data platform software capabilities, with ownership spanning SAS Viya (GKP), SAS Viya (AWS), and Databricks (AWS), including integration patterns, automation, and operational readiness.
Develop and maintain platform and application services that support onboarding, configuration, environment management, user migrations, and governed access for SAS Viya and Databricks workloads across both on-prem and AWS.
Collaborate 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 across coding standards, API contracts, testing strategy, documentation, and security controls, using peer review and automation to maintain quality.
Lead modernization initiatives such as refactoring, re-platforming, and performance optimization to reduce technical debt and improve developer productivity.

What we’re looking for

5+ years of applied experience and formal training or certification covering core software engineering concepts.
Proven experience building and supporting production-grade services, including hands-on ownership of reliability, operational readiness, and root-cause remediation.
Experience with cloud and containerized platforms and modern deployment practices, including Kubernetes and infrastructure and service automation.
Ability to lead cross-functional incident, problem, and change activities with clear communication and disciplined follow-through.
Experience driving CI/CD and release engineering practices to improve deployment frequency, reduce change risk, and enable repeatable automated releases.
Technical leadership and mentorship experience, including coaching engineers, raising design and implementation standards, and strengthening engineering culture and execution discipline.
Ability to use data and telemetry such as delivery metrics, quality signals, incident trends, and usage patterns to prioritize improvements and measure outcomes against service and product KPIs.
Experience using SAS Viya and Databricks applications, including Kubernetes experience with user onboarding, migrations, troubleshooting, and incident and change management.
Experience driving team adoption of enterprise-authorized AI-assisted engineering practices (for example, AI-assisted coding/refactoring, code review support, test generation/acceleration, and troubleshooting/root-cause analysis support), with secure coding, peer review, automated testing validation standards, and reuse of proven patterns.
Deep knowledge of SDLC toolchains including source control, CI/CD, artifact management, scanning, and observability, along with enterprise-authorized AI-assisted development and automation capabilities.

Technologies you may work with

SAS Viya (GKP), SAS Viya (AWS), Databricks (AWS)
Kubernetes
CI/CD, infrastructure and service automation
Source control, artifact management, scanning, observability
AI-assisted coding, AI-assisted refactoring, code review support, test generation/acceleration
Troubleshooting and root-cause analysis support

Benefits

Base salary determined based on role, experience, skill set, and location
Commission-based pay and/or discretionary incentive compensation, paid as cash and/or forfeitable equity (where eligible)
Comprehensive health care coverage
On-site health and wellness centers
Retirement savings plan
Backup childcare
Tuition reimbursement
Mental health support
Financial coaching
Additional details about total compensation and benefits provided during the hiring process

About the team

Corporate Functions teams support areas spanning finance and risk to human resources and marketing. These corporate teams are essential to helping businesses, clients, customers, and employees succeed.

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