Cloud Software Engineer

Stellantis

Auburn Hills, MI, United States

4 days ago

Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Experience level

Expert

Experience required

5 years minimum

Working hours

Regular working hours

Job source

careers.stellantis.com

Tech stack

Java (Programming Language) Application Programming Interfaces (APIs) Artificial Intelligence Airflow Amazon Web Services Amazon Elastic Compute Cloud Amazon S3 Automation of Tests Big Data Cloud Computing Cloud Computing Security Computer Engineering

+52 more

Continuous Integration DevOps Distributed Systems Amazon DynamoDB Elasticsearch Github Identity and Access Management Python (Programming Language) PostgreSQL MySQL Node.Js Performance Tuning Redis Cloud Services Azure Machine Learning Amazon Simple Notification Service (SNS) Software Engineering Data Streaming Datadog Data Logging Spring Cloud Amazon ElastiCache Flask (Web Framework) Delivery Pipeline Large Language Models Grafana Caching Backend Cloudformation Fastapi Event Driven Architecture Amazon Relational Database Service Containerization Gitlab-ci Kubernetes Infrastructure Automation Frameworks Information Technology Low Latency AWS Fargate Apache Kafka Graphql Functional Programming Api Design Cloudwatch Api Gateway Restful APIs Amazon Simple Queue Service (SQS) Data Pipelines Docker Jenkins Databricks Microservices

Job description

QuantitativeValue 1000000.0 1.0 YEAR 2026-08-06

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., * 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

Requirements

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., * 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.