Cloud Software Engineer

Posted 5 Days Ago
Be an Early Applicant
Auburn Hills, MI, USA
In-Office
Senior level
Automotive
The Role
Design, build, and operate cloud-native, highly available backend systems and microservices on AWS. Implement APIs, event-driven services, CI/CD, IaC, observability, and performance optimization. Integrate AI/ML services as needed and collaborate with cross-functional teams to deploy production-grade solutions.
Summary Generated by Built In
Job Summary & Responsibilities

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

Preferred QualificationsBasic 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.

Skills Required

  • Bachelor's degree in Computer Science, Computer Engineering, Electrical Engineering, or related field
  • 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
  • Master's degree in 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

Stellantis Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Stellantis and has not been reviewed or approved by Stellantis.

  • Pay Growth & Progression Contract-driven increases lifted hourly wages roughly 25% over 4.5 years and restored cost-of-living adjustments, pushing top rates near $42 per hour by the end of the agreement. Union hourly positions appear to have benefited most since the 2023 deal.
  • Affordable Benefits UAW-represented hourly workers pay no premiums and about 3% of total healthcare costs while receiving comprehensive medical, dental, vision, and wellness coverage. This creates materially lower out-of-pocket costs for represented hourly roles.
  • Retirement Support Post-2007 hourly hires receive a 10% employer 401(k) contribution and legacy workers saw defined-benefit improvements with retiree bonuses. Salaried roles also cite a 401(k) with employer match and contribution up to a maximum of 8%.

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The Company
HQ: Auburn Hills, MI
104,031 Employees

What We Do

Our storied and iconic brands embody the passion of their visionary founders and today’s customers in their innovative products and services: they include Abarth, Alfa Romeo, Chrysler, Citroën, Dodge, DS Automobiles, Fiat, Jeep®, Lancia, Maserati, Opel, Peugeot, Ram, Vauxhall and mobility brands Free2move and Leasys. Powered by our diversity, we lead the way the world moves – aspiring to become the greatest sustainable mobility tech company, not the biggest, while creating added value for all stakeholders as well as the communities in which we operate.

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