Cloud Software Engineer

About the role

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

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

Benefits

• Comprehensive Health & Well-being Coverage: From your very first day, you'll have access to medical, dental, vision, and prescription drug coverage. Also, our Employee Assistance Program (EAP) offers confidential support for personal and professional challenges.
• Family Building Benefit: We proudly support all paths to parenthood — including fertility and infertility treatments, adoption services, and gestational surrogacy.
• Generous Paid Time Off: 17+ paid holidays, including shut-down from December 24th through New Years Day every year. Vacation, float & wellbeing days, sick time and fully paid parental leave.
• Competitive Retirement Savings Plans: Employer match on contributions to your 401k, Roth, and Catch-Up plans. An employer contribution, even if you don't contribute.
• Income Protection & Insurance Options: Employer-provided and voluntary plan offerings, including life insurance, group accident, critical illness, etc.
• Company Vehicle Lease Program: Eligible employees and their immediate families can participate in the company vehicle lease program, providing access to Stellantis vehicles with insurance, maintenance, and unlimited miles included. Plus, exclusive discounts on Stellantis products.
• Support for Your Growth and Giving Back: Tuition reimbursement, student loan refinancing programs, and 18 paid volunteer hours each year.

This response is AI-generated, for reference only.