Software Architect - Distributed Systems

Description :

Role : Software Architect

Position Responsibilities :

- Leverage AI tools for code generation, architectural design, and documentation to accelerate delivery and improve quality.

- Design, build, and maintain services using Java, and Node.js, following clean-code and secure design principles.

- Develop agentic AI-based tools, domain-specific copilots, and developer productivity enhancements.

- Collaborate with cross-functional teams to define modular, scalable, and compliant architecture patterns.

- Conduct technical design reviews and produce detailed documentation, including system specifications, API docs, and architecture diagrams.

- Integrate AI solutions into CI/CD pipelines, ensuring observability, automated testing, and deployment standards are met.

- Implement robust monitoring and performance engineering practices to maintain high-quality deployments.

- Continuously evaluate emerging AI technologies and integrate them into development workflows for maximum impact.

- Champion best practices in security, automation, and performance optimization across the organization.

Qualifications :

- 3+ years with AI tools for development, prototyping, or documentation tasks.

- Experience with cloud-native development and containerized deployment (Docker, Kubernetes).

- Knowledge of AI integration patterns, vector stores, prompt engineering, and RAG pipelines.

- Ability to design software architecture using sequence diagrams, ERDs, data models, and threat models.

- Comfortable with Gen AI-first environments and working with remote Agile teams.

Preferred Qualifications :

- Experience building AI copilots or developer tools using OpenAI/Claude SDKs, LangChain, or similar frameworks.

- Experience working in a fast-paced, AIDLC environment, with a strong understanding of CI/CD practices.

- Familiarity with GitHub Actions, Argo Workflows, Terraform, and monitoring/observability tools.

- Containerization and Orchestration: Proficiency in Docker and Kubernetes for containerization and orchestration.

- Cloud Platforms: Experience with cloud computing platforms such as AWS, Azure, or OCI Cloud.