Good morning,
🚀 Senior Software Backend Engineer – Cloud & AI Platforms
Industry: Automotive
Location: Michigan
Employment Type: W2
C2C: ❌ Not accepted for this position
We are looking for a Senior Software Backend Engineer with strong experience in Cloud and AI Platforms to join an exciting opportunity with a leading automotive client.
If you are interested or know someone who may be a good fit, please feel free to reach out or share your resume.
Senior Software Engineer – Cloud & AI Platforms
Job Title: Senior Software Engineer – Cloud & AI Platforms Job Family: Back-end Software Engineering Location: Onsite – 4 days per week
This role will focus heavily on backend engineering, Google Cloud Platform (Google Cloud Platform), DevOps, platform engineering, enterprise integrations, and AI engineering. The successful candidate will be hands-on technically while also providing the vision, architecture, and technical guidance needed to help establish and grow a new engineering team.
Position Overview
We are seeking a highly skilled Senior Software Engineer – Cloud & AI Platforms to join our team and help build and expand modern cloud-native and AI-enabled solutions across Product Development.
This role will focus heavily on backend engineering, Google Cloud Platform (Google Cloud Platform), DevOps, platform engineering, enterprise integrations, and AI engineering. The successful candidate will be hands-on technically while also providing the vision, architecture, and technical guidance needed to help establish and grow a new engineering team.
The ideal candidate has strong experience developing scalable APIs and cloud services, building CI/CD pipelines, integrating enterprise systems, and developing AI-powered applications. Experience with modern AI architectures such as Retrieval-Augmented Generation (RAG), agentic workflows, and Model Context Protocol (MCP) is highly valued.
Key Responsibilities
· Design, develop, and support scalable cloud-native applications and backend services.
· Build and enhance AI-enabled applications supporting engineering, business, and operational workflows.
· Develop APIs, microservices, and enterprise integrations using modern software development practices.
· Build and maintain solutions using Google Cloud Platform (Google Cloud Platform), including Cloud Run and BigQuery.
· Develop reusable platform capabilities for AI retrieval, orchestration, prompt management, evaluation, telemetry, and feedback workflows.
· Integrate applications with enterprise knowledge sources, business systems, workflow platforms, and AI services.
· Support emerging AI architectures, including RAG, agentic workflows, MCP, and intelligent workflow automation.
· Design and implement CI/CD pipelines and DevOps practices for cloud-based applications.
· Contribute to solution architecture, technical design, coding standards, and engineering best practices.
· Evaluate emerging technologies and help establish reusable AI engineering standards and frameworks.
· Provide technical leadership, mentorship, and guidance as the engineering team expands.
· Contribute across the application stack, including frontend technologies such as Angular, when needed.
Required Qualifications
· 10+ years of overall IT experience.
· 8+ years of software development experience.
· Senior-level software engineering experience with strong backend development expertise.
· Practical experience with at least two programming languages, or advanced proficiency in one programming language.
· Strong, hands-on Google Cloud Platform (Google Cloud Platform) experience.
· Hands-on experience with Google Cloud Platform Cloud Run and BigQuery.
· Experience with data analysis and cloud-based data solutions.
· Experience with containerization and modern cloud-native development.
· Strong experience developing APIs, backend services, and enterprise integrations.
· Experience with DevOps practices and CI/CD pipelines.
· Hands-on experience developing or integrating AI/ML solutions and AI services.
· Strong understanding of software architecture and system design.
· Bachelor's degree in a relevant field.
Preferred Qualifications
· Experience working within an automotive or Product Development environment.
· Strong experience with enterprise AI platforms and modern AI application architectures.
· Experience with RAG, agentic AI workflows, MCP, LLM integration, prompt engineering, AI evaluation, and telemetry.
· Experience with Angular and modern UI/UX development.
· Experience establishing reusable engineering frameworks, standards, and platform capabilities.
· Experience providing technical leadership or architecture guidance to engineering teams.
Work Arrangement
This position requires working onsite 4 days per week.
Seniority
We are specifically seeking a Senior Engineer who can provide technical vision, architecture guidance, and mentorship as the team is built and expanded.
An Engineer 3-level candidate may be considered if sufficient qualified Senior Engineer candidates are not available.
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