Sas Software Engineer Jobs

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1d ago

Lead Software Engineer - SAS Viya

JPMorganChase Columbus, OH

Columbus, OH

1d ago

Full time Application Security CI/CD Cloud Data Engineering

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Job Description

JPMorganChase is seeking a Lead Software Engineer to join Corporate Technology in Columbus, OH (onsite). This role combines hands-on engineering with technical leadership to design and deliver scalable, secure, high-quality distributed application platform capabilities, including SAS Viya and Databricks-related analytics and data platform services across on-prem and AWS environments.

Responsibilities

Lead end-to-end application development in partnership with site reliability engineering across the software development lifecycle, including plan, design, build, test, release, and operate, while ensuring solutions remain scalable, secure, and maintainable.
Drive technical design and architecture decisions for distributed application platforms, balancing performance, resiliency, cost, and delivery speed.
Build and enhance analytics and data platform software capabilities, including SAS Viya (GKP), SAS Viya (AWS), and Databricks (AWS), with ownership of integration patterns, automation, and operational readiness.
Develop and maintain platform and application services for onboarding, configuration, environment management, user migrations, and governed access for SAS Viya and Databricks workloads on 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 covering coding standards, API contracts, testing strategy, documentation, and security controls, ensuring consistent quality through peer review and automation.
Lead modernization efforts such as refactoring, re-platforming, and performance optimization to reduce technical debt and improve developer productivity and system maintainability.

Requirements

Formal training or certification on software engineering concepts and 5+ years applied experience.
Demonstrated 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.
Proven 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 increase deployment frequency, reduce change risk, and enable repeatable, automated releases across application and platform components.
Technical leadership and mentorship experience, including coaching engineers and raising standards for design and implementation.
Ability to use data such as delivery metrics, quality signals, production telemetry, incident trends, and usage patterns to prioritize improvements and measure outcomes against clear service and product KPIs.
Experience with SAS Viya, Databricks applications, and Kubernetes, including user onboarding, migrations, troubleshooting, incident and change management.
Experience driving team adoption of enterprise-authorized AI-assisted engineering practices, including AI-assisted coding/refactoring, code review support, test generation/acceleration, and troubleshooting and root-cause analysis support, along with validation standards such as secure coding, peer review, and automated testing.
Deep knowledge of the SDLC toolchain, including source control, CI/CD, artifact management, scanning, and observability, plus enterprise-authorized AI-assisted development and automation capabilities to increase automation and improve delivery outcomes.

Technologies

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 the role, experience, skill set, and location.
Commission-based pay and/or discretionary incentive compensation (where eligible roles apply), paid as cash and/or forfeitable equity in recognition of individual achievements and contributions.
Comprehensive health care coverage.
On-site health and wellness centers.
A retirement savings plan.
Backup childcare.
Tuition reimbursement.
Mental health support.
Financial coaching.
Additional details about total compensation and benefits will be provided during the hiring process.

Preferred Qualifications, Capabilities, and Skills

Experience with full stack development and DevOps practices, including service ownership models and reliability metrics such as service level objectives.
Experience operating data or analytics platforms and related tooling, including SAS (SAS Viya), Databricks administration, or comparable platforms.
Experience with enterprise CI/CD, release management, and code quality/security scanning practices and toolchains.
AWS certification such as Solutions Architect or equivalent cloud credentials.
Experience with performance engineering for distributed systems, including capacity planning and production tuning.
Exposure to user interface development using modern web frameworks to support end-to-end troubleshooting and service ownership.

About the Team

Professionals in JPMorganChase Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. These corporate teams are essential to supporting businesses, clients, customers, and employees for success.

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