Descrição
This role is cate go rized as hybrid. This means the successful can didate is expected to report to Austin, TX, Warren, MI, Sunnyvale, CA, or Mountainview, CA, three times per week, at minimum.
About the team
Our team builds the digital commerce experiences that support how customers discover, buy, subscribe to, and manage GM products and services. We work across qualification, catalog, cart, checkout, billing, payments, subscriptions, orders, and customer account journeys, partnering closely with product, design, architecture, and operations teams to deliver reliable, scalable experiences. We are looking for engineers who pair strong software fundamentals with practical AI-assisted development habits to move faster, raise quality, and help the broader team work better.
The Role
We are hiring a Sr Software Engineer with demonstrated ability to use AI as a force multiplier for software development in digital commerce environments. This role is ideal for a hands-on engineer who can use AI-assisted workflows to improve delivery speed and quality, build reliable low-latency services, and strengthen team productivity through better engineering practices.
What you'll do
- Build and enhance customer-facing digital commerce experiences across areas such as qualification, checkout, billing, payments, subscriptions, catalog, cart, orders, and customer account journeys
- Use AI-assisted workflows to accelerate implementation, code review, testing, debugging, and documentation
- Apply strong judgment to evaluate AI output for correctness, security, maintainability, and production readiness
- Develop and support modern web applications and services using technologies such as React, Next.js, Node.js, Java, and related frameworks
- Design and evolve APIs and service architectures with an emphasis on performance, reliability, maintainability, and cost
- Partner with cross-functional teams to translate product needs into scalable technical solutions
- Contribute to stronger engineering excellence through testing, automation, observability, and high-quality code review practices
- Share reusable workflows and practical habits that help the broader team work more effectively
Your Skills & Abilities (Required Qualifications)
- At least 5-7 years experience coding, debugging, and code review using OOP languages (Java, NodeJS)
- Practical experience using AI across coding, testing, debugging, documentation, and understanding existing codebases
- Ability to use AI with structured engineering practices such as specs, reviews, tests, and observability
- 5-7 years API and system design capability (Microservices)
- Hands-on experience across relevant technologies such as React, Next.js, Node.js, Java, and modern web application architecture
- Strong engineering discipline across test automation, operational automation, and DevOps practices
- Ability to balance speed, reliability, maintainability, and cost
What Will Give You A Competitive Edge (Preferred Qualifications)
- Experience in digital commerce or other customer-facing digital platforms
- Experience in areas such as qualification, checkout, billing, payments, subscriptions, orders, catalog, cart, or customer account flows
- Exposure to commerce platforms or vendors such as Shopify or similar ecosystems
- Exposure to technologies or patterns such as Model Context Protocol (MCP), LangChain, retrieval-augmented generation (RAG) patterns, vector databases, AI agents, or evaluation frameworks
- Experience helping teams adopt newer AI development workflows in practical, non-overengineered ways
Additional Information:
This job may be eligible for relocation benefits.
COMPENSATION : The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The compensation may not be representative for positions located outside of the California Bay Area.
- The salary range for this role is 129,400 to 198,400.
- The actual base salary a successful candidate will be offered within this 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.
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Informações sobre diversidade
A General Motors está comprometida em ser um local de trabalho que não só é livre de discriminação ilegal, como estimula verdadeiramente a inclusão e integração. Acreditamos enfaticamente que a diversidade na força de trabalho cria um ambiente no qual nossos colaboradores podem crescer e desenvolver melhores produtos para nossos clientes. Incentivamos os candidatos interessados a analisar as principais responsabilidades e qualificações de cada função e a se candidatar a qualquer cargo que corresponda a suas habilidades e capacidades. Os candidatos no processo de recrutamento podem, quando aplicável, ser solicitados a concluir com sucesso uma ou mais avaliações relacionadas à função e/ou uma seleção pré-emprego antes de iniciar o emprego. Para saber mais, acesse Como contratamos.
Declaração de Igualdade de Oportunidades de Emprego (EUA)
A General Motors tem orgulho de ser um empregador que oferece oportunidades iguais. Todos os candidatos qualificados serão considerados para o emprego, independentemente de raça, cor, religião, sexo, orientação sexual, identidade de gênero, origem nacional, deficiência ou status como veterano protegido.
Adaptações (EUA e Canadá)
A General Motors oferece oportunidades a todos os candidatos a emprego, incluindo pessoas com deficiências. Se você precisa de uma adaptação razoável para ajudá-lo na sua pesquisa de cargos ou solicitação de emprego, fale conosco pelo e-mail [email protected] ou pelo telefone 800-865-7580. No seu e-mail, inclua uma descrição da adaptação específica que você está solicitando assim como o nome do cargo e o número de requisição do cargo ao qual está se candidatando.
