Polyglot Engineer

About the Role

The Polyglot Engineer role at SourceFuse involves building scalable, secure, cloud-native applications across various technology stacks. The ideal candidate will work as a full stack developer, utilizing multiple programming languages and frameworks while leveraging AI tools to enhance productivity and maintain high standards of code quality.

Key Responsibilities

• Full Stack & Polyglot Engineering: Design, develop, test, and maintain full stack applications across frontend, backend, APIs, and databases.
• Work across multiple programming languages and frameworks based on project needs.
• Build backend services, APIs, workers, integrations, and microservices using suitable technologies such as TypeScript, Node.js, Python, Go, Java, Rust, or similar.
• Develop responsive, maintainable frontend applications using Angular or other modern frontend frameworks.
• Build reusable, modular, extensible, and testable components.
• Work with relational and NoSQL databases, including schema design, query optimization, migrations, and data access patterns.
• Contribute to internal accelerators, reusable frameworks, SDKs, engineering libraries, and open-source initiatives where applicable.

• AI-Enabled SDLC & Developer Productivity: Use AI tools such as Claude, GitHub Copilot, Codex, ChatGPT, or similar tools to improve engineering productivity.
• Apply AI across the SDLC, including requirement analysis, technical design support, code scaffolding, refactoring, unit test generation, documentation, debugging, and troubleshooting.
• Use AI to accelerate development while maintaining strong ownership of design decisions, code quality, security, testing, and production readiness.
• Critically review and validate AI-generated code for correctness, maintainability, security, performance, licensing risks, and architectural fit.
• Identify areas where AI can improve team productivity, automation, testing, documentation, and operational efficiency.
• Demonstrate responsible AI usage by avoiding blind reliance on generated code and ensuring human accountability for final deliverables.

• Cloud-Native & Architecture Awareness: Build applications that are container-ready and suitable for deployment on Kubernetes or cloud-native platforms.
• Understand Docker, Kubernetes basics, environment configuration, secrets, health checks, autoscaling, and deployment patterns.
• Understand microservices concepts such as service boundaries, API contracts, resilience, retries, idempotency, distributed communication, and eventual consistency.
• Apply API design and governance practices, including versioning, backward compatibility, validation, error handling, and documentation.
• Understand multi-tenant SaaS application concepts such as tenant isolation, configuration-driven behavior, extensibility, and scalable service design.
• Collaborate with architects and senior engineers to convert architectural designs into functional applications.