Stellantis

Cloud Software Engineer

Stellantis • $110K — $130K *
Auburn Hills, MI 48326In-Person
Enterprise Technology
5 - 7 years of experience
Today
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Job Overview by Ladders

Qualifications

  • Bachelor's degree in Computer Science, Computer Engineering, or related field.
  • 5+ years of software development experience in production environments.
  • Hands-on experience with AWS cloud services.
  • Experience in designing distributed systems.
  • Proficient in Python, Java, or Node.js for backend development.
  • Familiarity with containerized deployments (Docker + Kubernetes).
  • Understanding of system design, scalability, and cloud security best practices.

Responsibilities

  • Design and develop cloud-native applications and microservices on AWS.
  • Build scalable backend systems using modern architecture patterns.
  • Develop and maintain RESTful/GraphQL APIs and event-driven services.
  • Architect distributed systems focusing on reliability and cost optimization.
  • Implement CI/CD pipelines and infrastructure as code.
  • Build observability frameworks for logging, monitoring, and alerting.
  • Integrate AI/ML services to enhance automation or analytics.

Benefits

  • Collaborative environment with cross-functional teams.
  • Opportunities to work with cutting-edge technologies, including AI/ML.
  • Focus on cloud-native solutions for operational efficiency.
  • Support for continuous learning and development.
  • Access to advanced tools for infrastructure and performance optimization.
Full Job Description
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.

About Stellantis

Stellantis is a multinational automotive manufacturer formed in 2021 by the merger of Fiat Chrysler Automobiles and Groupe PSA. The company designs, produces, and sells a wide range of vehicles under various brands, including Alfa Romeo, Chrysler, Citroen, Dodge, DS Automobiles, Fiat, Jeep, Lancia, Maserati, Opel, Peugeot, Ram, and Vauxhall. Stellantis operates in over 130 countries and has 14 brands in its portfolio. The company is committed to sustainable mobility and has set ambitious targets for reducing its carbon footprint and increasing the share of electric vehicles in its sales.
Learn more about Stellantis
Size
400,000 employees
Market Cap
$44.9 billion
Industry
Manufacturing & Automotive
* Ladders Estimates

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