Cloud Software Engineer

<p><span><strong>What we do:</strong></span></p> <ul> <li> <p><span>Design and develop cloud-native applications and microservices on AWS.</span></p> </li> <li> <p><span>Build scalable, highly available backend systems using modern architecture patterns.</span></p> </li> <li> <p><span>Develop and maintain RESTful/GraphQL APIs and event-driven services.</span></p> </li> <li> <p><span>Architect distributed systems with focus on reliability, security, scalability, and cost optimization.</span></p> </li> <li> <p><span>Implement CI/CD pipelines, infrastructure-as-code, and automated testing.</span></p> </li> <li> <p><span>Build observability frameworks including logging, monitoring, and alerting.</span></p> </li> <li> <p><span>Optimize system performance, latency, throughput, and resource utilization.</span></p> </li> <li> <p><span>Integrate AI/ML or GenAI services (e.g., AWS Bedrock) where applicable to enhance automation or analytics.</span></p> </li> <li> <p><span>Collaborate with cross-functional teams including platform, DevOps, data, QA, and business stakeholders.</span></p> </li> </ul> <h2><span><strong>Core Technical Stack:</strong></span></h2> <h3><span><strong>Cloud &amp; Infrastructure</strong></span></h3> <ul> <li> <p><span>AWS (EC2, S3, Lambda, API Gateway, IAM, CloudWatch, SNS/SQS, DynamoDB, RDS)</span></p> </li> <li> <p><span>Containerization: Docker</span></p> </li> <li> <p><span>Orchestration: EKS/ECS/Fargate</span></p> </li> <li> <p><span>Infrastructure as Code: Terraform / CloudFormation</span></p> </li> <li> <p><span>CI/CD: GitHub Actions, GitLab CI, Jenkins, CodePipeline</span></p> </li> <li> <p><span>Observability: CloudWatch, DataDog, Grafana</span></p> </li> </ul> <h3><span><strong>Backend Development</strong></span></h3> <ul> <li> <p><span>Python (FastAPI, Flask) or Java/Node.js</span></p> </li> <li> <p><span>REST / GraphQL API design</span></p> </li> <li> <p><span>Microservices architecture</span></p> </li> <li> <p><span>Event-driven systems</span></p> </li> <li> <p><span>Caching strategies (Redis, ElastiCache)</span></p> </li> </ul> <h3><span><strong>Data &amp; Messaging</strong></span></h3> <ul> <li> <p><span>PostgreSQL, MySQL, DynamoDB</span></p> </li> <li> <p><span>Elasticsearch / OpenSearch</span></p> </li> <li> <p><span>Kafka / SNS / SQS</span></p> </li> <li> <p><span>Data pipelines (Airflow or equivalent)</span></p> </li> </ul> <h3><span><strong>AI/ML (Nice Leverage, Not Primary)</strong></span></h3> <ul> <li> <p><span>AWS Bedrock or SageMaker integration</span></p> </li> <li> <p><span>RAG-based services or LLM API integration</span></p> </li> <li> <p><span>Model API orchestration and monitoring</span></p> </li> </ul> <strong><span>Qualifications</span></strong> <h2><span><strong>Basic Qualifications:</strong></span></h2> <ul> <li><span>Bachelor’s degree in Computer Science, Computer Engineering, Electrical Engineering, or a related field </span></li> <li> <p><span>A minimum of 5 years of software development experience in production environments.</span></p> </li> <li> <p><span>Strong hands-on experience with AWS cloud services.</span></p> </li> <li> <p><span>Experience designing and operating distributed systems.</span></p> </li> <li> <p><span>Proficiency in at least one backend language (Python, Java, or Node.js).</span></p> </li> <li> <p><span>Experience with containerized deployments (Docker + Kubernetes/ECS/EKS).</span></p> </li> <li> <p><span>Strong understanding of system design, scalability, and cloud security best practices.</span></p> </li> <li> <p><span>Experience with CI/CD, automated testing, and infrastructure automation.</span></p> </li> </ul> <h2><span><strong>Preferred Qualifications:</strong></span></h2> <ul> <li><span>Master’s degree in Computer Science, Computer Engineering, Electrical Engineering, or a related field </span></li> <li> <p><span>Experience integrating AI/ML services into production systems.</span></p> </li> <li> <p><span>Experience with Databricks or large-scale data processing.</span></p> </li> <li> <p><span>Familiarity with automotive systems or enterprise PLM environments.</span></p> </li> <li> <p><span>Knowledge of event streaming architectures and high-throughput systems.</span></p> </li> <li> <p><span>Experience in cost optimization for cloud workloads.</span></p> </li> </ul> <h2><span><strong>What Success Looks Like:</strong></span></h2> <ul> <li> <p><span>Highly available, scalable AWS services deployed to production.</span></p> </li> <li> <p><span>Reduced operational overhead through automation and cloud-native solutions.</span></p> </li> <li> <p><span>Optimized infrastructure cost and improved system performance.</span></p> </li> <li> <p><span>Clean, maintainable, well-documented code with strong test coverage.</span></p> </li> <li> <p><span>Measurable business impact through reliable and efficient cloud platforms.</span></p> </li> </ul>