Sanjeewa C

Senior Software Engineer

Novizta • Período integral

Mar 2026 - Present • 6 mos

Designed and developed a large scale enterprise software platform from concept to production, leading the entire software development lifecycle from requirements gathering to deployment. Architected scalable and maintainable solutions using Domain-Driven Design principles, microservices, and event-driven architectures. Designed and integrated Large Language Model (LLM) powered capabilities and Agentic AI workflows to automate business processes and deliver intelligent application features. Implemented and optimized prompt engineering strategies, AI orchestration, and context management for reliable AI-assisted functionality. Owned the complete deployment and cloud infrastructure, designing and managing CI/CD pipelines, containerized deployments, environment provisioning, and production operations. Implemented best practices for monitoring, release management, and operational reliability, ensuring high availability and maintainability of production systems. Led technical decision-making, system design, and implementation while collaborating closely with stakeholders to deliver business requirements. Mentored developers and promoted engineering best practices through code reviews, technical guidance, and knowledge sharing initiatives.

Senior Software Engineer

IFS • Período integral

Jul 2024 - Jan 2026 • 1 yr 6 mos

•Developed a PL/SQL to Golang (Go) code wrapper generator using Agentic AI and prompt engineering, reducing manual migration time by 60% and automating legacy code transformation. •Designed and implemented Event Gateway using Kafka and RedPanda for enterprise integration, enabling real-time event streaming across 15+ microservices with 99.9% uptime. •Applied Domain-Driven Design principles and bounded context identification to architect scalable enterprise solutions, improving system modularity and maintainability. •Implemented REST API integration for seamless communication between microservices and external systems, reducing integration time by 40%. •Working with Docker and Kubernetes for containerization and orchestration of microservices in production environments, achieving consistent deployment across development and production. •Leveraging AI-powered development tools including Cursor, GitHub Copilot, and Claude Code for prompt engineering, accelerating development velocity by 40%. •Contributing to the Energy and Resources team with functional analysis and domain expertise in Energy and Resources, Warehousing, Inventory Management, and Accounting modules. •Participating in code reviews, internal knowledge sharing sessions, and product defect triage, ensuring code quality and facilitating team learning. •Mentoring interns and software engineers, providing technical guidance, conducting code reviews, and fostering professional growth within the team.