New

Cloud Software Engineer

Stellantis
United States, Michigan, Auburn Hills
Aug 07, 2026
What we do: Design and develop cloud-native applications and microservices on AWS. Build scalable, highly available backend systems using modern architecture patterns. Develop and maintain RESTful/GraphQL APIs and event-driven services. Architect distributed systems with focus on reliability, security, scalability, and cost optimization. Implement CI/CD pipelines, infrastructure-as-code, and automated testing. Build observability frameworks including logging, monitoring, and alerting. Optimize system performance, latency, throughput, and resource utilization. Integrate AI/ML or GenAI services (e.g., AWS Bedrock) where applicable to enhance automation or analytics. Collaborate with cross-functional teams including platform, DevOps, data, QA, and business stakeholders. Core Technical Stack: Cloud & Infrastructure AWS (EC2, S3, Lambda, API Gateway, IAM, CloudWatch, SNS/SQS, DynamoDB, RDS) Containerization: Docker Orchestration: EKS/ECS/Fargate Infrastructure as Code: Terraform / CloudFormation CI/CD: GitHub Actions, GitLab CI, Jenkins, CodePipeline Observability: CloudWatch, DataDog, Grafana Backend Development Python (FastAPI, Flask) or Java/Node.js REST / GraphQL API design Microservices architecture Event-driven systems Caching strategies (Redis, ElastiCache) Data & Messaging PostgreSQL, MySQL, DynamoDB Elasticsearch / OpenSearch Kafka / SNS / SQS Data pipelines (Airflow or equivalent) AI/ML (Nice Leverage, Not Primary) AWS Bedrock or SageMaker integration RAG-based services or LLM API integration Model API orchestration and monitoring Basic Qualifications: Bachelor's degree in Computer Science, Computer Engineering, Electrical Engineering, or a related field A minimum of 5 years of software development experience in production environments. Strong hands-on experience with AWS cloud services. Experience designing and operating distributed systems. Proficiency in at least one backend language (Python, Java, or Node.js). Experience with containerized deployments (Docker + Kubernetes/ECS/EKS). Strong understanding of system design, scalability, and cloud security best practices. Experience with CI/CD, automated testing, and infrastructure automation. Preferred Qualifications: Master's degree in Computer Science, Computer Engineering, Electrical Engineering, or a related field Experience integrating AI/ML services into production systems. Experience with Databricks or large-scale data processing. Familiarity with automotive systems or enterprise PLM environments. Knowledge of event streaming architectures and high-throughput systems. Experience in cost optimization for cloud workloads. What Success Looks Like: Highly available, scalable AWS services deployed to production. Reduced operational overhead through automation and cloud-native solutions. Optimized infrastructure cost and improved system performance. Clean, maintainable, well-documented code with strong test coverage. Measurable business impact through reliable and efficient cloud platforms. What we do: Design and develop cloud-native applications and microservices on AWS. Build scalable, highly available backend systems using modern architecture patterns. Develop and maintain RESTful/GraphQL APIs and event-driven services. Architect distributed systems with focus on reliability, security, scalability, and cost optimization. Implement CI/CD pipelines, infrastructure-as-code, and automated testing. Build observability frameworks including logging, monitoring, and alerting. Optimize system performance, latency, throughput, and resource utilization. Integrate AI/ML or GenAI services (e.g., AWS Bedrock) where applicable to enhance automation or analytics. Collaborate with cross-functional teams including platform, DevOps, data, QA, and business stakeholders. Core Technical Stack: Cloud & Infrastructure AWS (EC2, S3, Lambda, API Gateway, IAM, CloudWatch, SNS/SQS, DynamoDB, RDS) Containerization: Docker Orchestration: EKS/ECS/Fargate Infrastructure as Code: Terraform / CloudFormation CI/CD: GitHub Actions, GitLab CI, Jenkins, CodePipeline Observability: CloudWatch, DataDog, Grafana Backend Development Python (FastAPI, Flask) or Java/Node.js REST / GraphQL API design Microservices architecture Event-driven systems Caching strategies (Redis, ElastiCache) Data & Messaging PostgreSQL, MySQL, DynamoDB Elasticsearch / OpenSearch Kafka / SNS / SQS Data pipelines (Airflow or equivalent) AI/ML (Nice Leverage, Not Primary) AWS Bedrock or SageMaker integration RAG-based services or LLM API integration Model API orchestration and monitoring At Stellantis, we assess candidates based on qualifications, merit, and business needs. We welcome applications from all people without regard to sex, age, ethnicity, nationality, religion, sexual orientation, disability, or any characteristic protected by law. We believe that diverse teams reflect our identity as a global company, enabling us to better address the evolving needs of our customers and care for our future.