Principal Software Engineer - Java

**Pncpl Software Engineer** **Position Responsibilities :** - Lead the architecture and development of AI-powered, distributed systems that meet enterprise-grade performance and security standards. - Leverage AI tools for code generation, architectural design, and documentation to accelerate delivery and improve quality. - Design, build, and maintain services using Python, 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 :** - 8+ years in software engineering with full-stack or backend development in Python, Java, and/or Node.js. - 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.