Software Development Engineer I
Skills
About the role
As a Software Development Engineer II at GM Financial, you will design, develop, and maintain scalable, secure, and high quality software that supports our digital products and platforms. You will work closely with product managers, architects, and platform teams to translate business needs into robust technical solutions. This role emphasizes domain driven API design, modern cloud native development, and the application of AI/ML capabilities to deliver intelligent features and improve developer productivity, all within a strong DevOps and Agile culture.
APIs & services: Build and enhance microservice-based, domain-driven APIs and application features using clean, testable code.
Engineering best practices: Write secure, maintainable code and participate in code reviews to continuously improve quality.
Testing & quality: Contribute to automated testing (unit, integration) to ensure reliability and correctness.
Performance & security: Apply security best practices and basic performance optimizations; assist with monitoring and troubleshooting production issues.
CI/CD & DevOps: Use and contribute to CI/CD pipelines to build, test, and deploy software efficiently.
Learning & innovation: Develop skills in cloud technologies and leverage AI-assisted development tools or existing AI services where applicable.
Agile collaboration: Work closely with product, architecture, and engineering peers; actively participate in Agile ceremonies and team collaboration.
Bachelor’s degree in Computer Science, Engineering, or equivalent experience.
Proficiency in English and Spanish or Portuguese.
2+ years of software development experience.
Proficiency in C#/.NET, Java, or similar languages.
Strong problem-solving, communication, and collaboration skills.
Experience with RESTful APIs, HTTP, and JSON.
Foundational knowledge of cloud platforms (Azure, AWS) and modern development tools.
Experience with Git and exposure to CI/CD pipelines.
Interest or basic exposure to AI/GenAI, including AI-assisted development tools.
Preferred Qualifications:
Experience with cloud platforms (Azure, AWS, or GCP).
Familiarity with Docker and Kubernetes or other container technologies.
Exposure to modern frontend frameworks (e.g., React, Angular) or full stack development.
Experience contributing to test automation or DevOps practices beyond basic usage.
Relevant cloud or development certifications (e.g., Azure Fundamentals, AWS Associate).
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