Job Title

Full Stack Engineer (Python + AWS + Angular)Location: Remote (US time zones preferred)Company: SotaogStack: Python, AWS (Lambda, S3, CloudFront, Route53), Terraform, CI/CD, Code Pipeline, AngularAbout SotaogAt Sotaog, we build data-driven, intelligent platforms that power industrial operations across the energy and manufacturing sectors.Our products combine real-time analytics, machine learning, and scalable cloud architecture to bring the precision and reliability of big tech to mission-critical industries.You’ll lead the rebuild of our customer-facing platform into a next-generation, multi-tenant architecture designed for scale, speed, and global deployment — leveraging modern cloud infrastructure and application design.What You’ll DoLead the greenfield rebuild of Sotaog’s platform using Python (serverless architecture with AWS Lambda) and Angular for the frontend.Architect and implement infrastructure-as-code using Terraform for scalable, secure, and automated deployments.Design and manage AWS-based backend systems — Lambda, API Gateway, S3, CloudFront, Route53, and IAM roles.Build robust CI/CD pipelines (Code Pipeline / GitHub Actions / Code Build) with automated testing, blue/green or canary deployments.Partner with product, design, and data teams to deliver real-time analytics features, optimize performance, and enhance reliability.Establish shared frameworks for authentication, telemetry, monitoring, and multi-tenant configuration management.Must-Have4+ years of experience in Python backend development and AWS cloud architecture.Strong understanding of serverless systems (Lambda, API Gateway, DynamoDB, or RDS).Experience building and maintaining infrastructure-as-code with Terraform or CloudFormation.Proficiency in CI/CD pipelines, testing frameworks, and deployment automation.Familiarity with frontend integration using Angular or other modern frameworks.Solid foundation in clean architecture, TypeScript discipline, and cloud security best practices.Nice-to-HaveExperience with data-driven or analytics platforms.Knowledge of monitoring and observability tools (CloudWatch, Sentry, Grafana).Exposure to microservices, event-driven architectures, and multi-tenant SaaS.Familiarity with API documentation tools (OpenAPI/GraphQL).What Success Looks Like (6 Months)Production-ready multi-tenant architecture deployed via Terraform and CI/CD.Core services achieving >99.9% uptime and measurable performance improvements.Fully automated deployments with zero-downtime rollouts and rollback mechanisms.