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

United States

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Automotive, BiotechnologyIndustries

Requirements

Candidates must possess a Bachelor's degree in Computer Science, Data Science, or a related field, or equivalent work experience. A minimum of 5 years of experience delivering enterprise-scale software products, with an emphasis on integrating machine learning models and Databricks workflows, is required. Proven ability to lead engineering projects, mentor junior developers, and collaborate effectively with cross-functional teams is essential. Advanced proficiency in front-end development (React, Angular, TypeScript, HTML/CSS) and back-end development (Node.js, Python, or Java) is necessary. A deep understanding of hybrid-cloud and cloud-native software architecture, system design, and security, including microservices and containerization using Azure services or similar cloud platforms, is required. Experience with CI/CD processes, collecting and communicating engineering quality metrics, and working with Agile methodologies is also needed. Familiarity with data science use cases, machine learning lifecycles, Databricks Delta Lake, Mlflow, Unity Catalog, and visualization tools like Power BI or D3.js is preferred.

Responsibilities

The Senior Software Engineer will collaborate with product owners, data scientists, and partner teams to design, develop, and implement analytics applications that improve customer experience and business outcomes. This role involves leading front-end and back-end software architecture, design, and development, ensuring alignment with company technology and security standards. Responsibilities include implementing software validation, testing, code review, documentation, and production monitoring processes. The engineer will also work with infrastructure, architecture, and operations teams on platform management and technology migrations, provide on-call support as needed, and stay updated on new trends and technologies, including GenAI, to increase productivity. Additionally, the role involves encouraging continuous learning and knowledge sharing within the team and the broader software engineering community.

Skills

Full Stack Development

Software Architecture

Software Design

Software Development

Analytics Applications

Machine Learning Models

Software Validation

Testing

Code Review

Documentation

Production Monitoring

Platform Management

Technology Migrations

On-call Support

GenAI

General Motors

Designs, manufactures, and sells vehicles

About General Motors

General Motors designs, manufactures, and sells vehicles and vehicle parts, catering to individual consumers, businesses, and government entities. The company operates in both traditional internal combustion engine vehicles and the growing electric vehicle (EV) market, generating revenue through vehicle sales and financing services. GM stands out from competitors with its commitment to community service, sustainability, and diversity, as evidenced by a majority female Board of Directors. The company's goal is to balance traditional automotive manufacturing with technological advancements in electric and autonomous vehicles.

Detroit, MichiganHeadquarters

1908Year Founded

$486.7MTotal Funding

IPOCompany Stage

Automotive & Transportation, Financial ServicesIndustries

10,001+Employees