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General Motors

Senior Software Engineer, Applied Analytics & Insights - Digital, Customer & Portfolio

Posted Yesterday
Remote or Hybrid
Hiring Remotely in United States
131K-211K Annually
Senior level
Remote or Hybrid
Hiring Remotely in United States
131K-211K Annually
Senior level
This role requires leading the development of analytics applications, integrating machine learning, and collaborating with cross-functional teams to optimize customer experiences and support strategic portfolio planning.
The summary above was generated by AI
Description
This role is based remotely but if you live within a 50-mile radius of an office [Atlanta, Austin, Detroit, Warren, or Mountain View], you are expected to report to that location three times a week, at minimum.
The Role
We are looking for a full stack Senior Software Engineer to join the Applied Analytics & Insights - Digital, Customer & Portfolio organization, which focuses on leveraging data-driven solutions to optimize digital customer experiences and support strategic portfolio planning at GM. In this position, you will collaborate with product owners, data scientists, and partner teams to design, develop, and implement analytics applications that improve customer experience and business outcomes, with an initial focus on vehicle portfolio planning use cases.
What You'll Do
  • Collaborate with analytics delivery, data science, and stakeholder teams within a matrixed reporting structure to deliver applications that train and serve machine learning models.
  • Lead front-end and back-end software architecture, design, and development ensuring alignment with GM technology and security standards.
  • Implement software validation, testing, code review, documentation, and production monitoring processes to ensure user satisfaction, quality, and supportability.
  • Work with partner teams such as infrastructure, architecture, and operations on platform management and technology migrations as required.
  • Provide on-call support as required.
  • Keep up with new trends and technologies and actively seek ways to increase productivity, including using GenAI where appropriate.
  • Encourage continuous learning, knowledge sharing, and development within the team and the broader software engineering community.

Your Skills & Abilities (Required Qualifications)
  • Bachelor's degree (or equivalent work experience) in Computer Science, Data Science, or a related field.
  • Minimum of 5 years of hands-on experience delivering enterprise-scale software products, with an emphasis on integrating machine learning models and Databricks workflows.
  • Proven ability to lead engineering projects, mentor early-career developers, and collaborate effectively with data scientists, product managers, and non-technical stakeholders.
  • Advanced proficiency in both front-end development (React, Angular, TypeScript, HTML/CSS) and back-end development (Node.js, Python, or Java).
  • Deep understanding of hybrid-cloud and cloud-native software architecture, system design, and security, including microservices and containerization using Azure, Azure Key Vault, App Services, and Azure Kubernetes Services (or similar cloud platforms).
  • Experience with CI/CD processes, including automated builds, deployments, and pipeline development.
  • Demonstrated ability to collect, quantify, and communicate engineering quality and efficiency metrics.
  • Experience working with Agile methodologies, including backlog grooming, sprint planning, and delivering solutions iteratively.

Additional Description
Your Skills & Abilities (Required Qualifications)
  • Familiarity with data science use cases and machine learning development lifecycle.
  • Experience with Databricks Delta Lake, Mlflow, Unity Catalog.
  • Experience with visualization tools and libraries including Power BI, D3.js, Plotly, or similar.

This job is not eligible for relocation benefits. Any relocation costs would be the responsibility of the selected candidate.
Compensation:
  • The expected base compensation for this role is: $130,800 - $211,200. Actual base compensation within the identified range will vary based on factors relevant to the position.
  • Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.
  • Benefits : GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.

GM DOES NOT PROVIDE IMMIGRATION-RELATED SPONSORSHIP FOR THIS ROLE. DO NOT APPLY FOR THIS ROLE IF YOU WILL NEED GM IMMIGRATION SPONSORSHIP NOW OR IN THE FUTURE. THIS INCLUDES DIRECT COMPANY SPONSORSHIP, ENTRY OF GM AS THE IMMIGRATION EMPLOYER OF RECORD ON A GOVERNMENT FORM, AND ANY WORK AUTHORIZATION REQUIRING A WRITTEN SUBMISSION OR OTHER IMMIGRATION SUPPORT FROM THE COMPANY (e.g., H-1B, OPT, STEM OPT, CPT, TN, J-1, etc.)
#LI-CC1
About GM
Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.
Why Join Us
We believe we all must make a choice every day - individually and collectively - to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team.
Total Rewards | Benefits Overview
From day one, we're looking out for your well-being-at work and at home-so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources.
Non-Discrimination and Equal Employment Opportunities (U.S.)
General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers.
All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws.
We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire.
Accommodations
General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us [email protected] or call us at 800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

Top Skills

Angular
App Services
Azure
Azure Key Vault
Azure Kubernetes Services
Ci/Cd
CSS
D3.Js
Databricks
HTML
Java
Node.js
Plotly
Power BI
Python
React
Typescript

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