Principal Software Engineer I -Cybersecurity (Go / Java / Python)

ConnectWise is an industry and Global leading software company with over 3,000 colleagues in North America, EMEA and APAC. As a community-driven software company dedicated to the success of technology solution providers, our suite helps over 45,000 of our partners manage their businesses better, sell more efficiently, automate service delivery, and remotely control technology so they can consistently deliver amazing customer experiences. Our company is powered by our connections, our colleagues, and our community. And, we accept all kinds. Game-changers, innovators, culture-lovers—and humankind. We invite discovery and debate. We recognize key moments as milestones. We see you and value you for your unique contributions. Our inclusive, positive culture lays the foundation to ensure every colleague is valued for their perspectives and skills, giving you the choice of how YOU make a difference. Curious? Read this opportunity to learn how YOU can make a difference at ConnectWise!    The Principal Software Engineer I is a high-impact technical leadership role responsible for architecting and developing innovative, high-performance software systems. You will bridge the gap between complex business requirements and scalable technical solutions, ensuring that our engineering output remains world class and strictly compliant with industry standards. As a senior technical authority, you will shape the technical direction of the team, fostering an environment of excellence and continuous improvement by leveraging modern, AI-augmented development workflows and robust cloud-native architectures.  Location: Pune (Hybrid) Key Responsibilities • System Architecture & Development: Design, build, and maintain large-scale production services, web applications, high-throughput data pipelines, and real-time streaming systems. • Technical Leadership & Mentorship: Provide high-level support to engineering teams, coaching developers and conducting rigorous code reviews to ensure validity, performance, and adherence to security standards. • AI-Augmented Development: Drive engineering efficiency by integrating and championing the use of AI tools such as GitHub Copilot, Cursor, or Claude. Use these technologies to optimize boilerplate generation, complex refactoring, and deep architectural debugging. • Operational Excellence: Debug complex production issues across various services and multiple levels of the stack; assist in refining organizational engineering standards and tooling.  • SDLC Oversight: Lead the full Software Development Life Cycle (SDLC), from initial research and documentation to final certification and deployment. • Quality Assurance: Lead the testing process, including test review, analysis, and witnessing to ensure software is robust and compatible with diverse operating systems. • Continuous Innovation: Stay at the forefront of technology by researching emerging trends and participating in professional workshops to keep t...