Principal Software Engineer

Overview

Principal Software Engineer combining hands-on delivery of critical product features with organization-wide technical leadership, owning architecture, modernization and AI adoption across the platform.

What you'll do

• Drive adoption of AI-first engineering practices across development workflows and product capabilities.
• Apply LLMs, Copilot, RAG architectures and intelligent automation to accelerate feature delivery, testing and code modernization.
• Identify practical opportunities to embed AI into core platform capabilities and business workflows.
• Establish guardrails and best practices for scalable, secure and production-ready AI integration.
• Define architecture for new features while ensuring alignment with long-term platform evolution.
• Evolve the system toward API-first, event-driven and modular architectures.
• Design and enhance platform capabilities built on Web APIs, WebHooks, background processing (WebJobs, Windows Services, workers) and integration and data exchange layers.
• Balance short-term delivery needs with long-term scalability and maintainability.
• Own and deliver complex, high-impact features end-to-end, from design to production rollout.
• Write high-quality, maintainable code across backend and frontend layers where needed.
• Collaborate closely with product and engineering teams to convert requirements into scalable solutions.
• Troubleshoot and resolve complex production issues across services, APIs and data layers.
• Lead by example through hands-on contributions in critical paths.
• Drive modernization of enterprise applications built on the .NET + AngularJS platform.
• Refactor legacy patterns into clean, modular, testable components.
• Improve system reliability through better logging, monitoring, diagnostics and observability.
• Introduce engineering best practices across code quality and reviews, testing strategies, performance optimization and production readiness.
• Mentor senior engineers and technical leads on system design, coding practices and architecture.
• Influence technical decisions across multiple teams without direct authority.
• Establish reusable patterns, frameworks and engineering standards.
• Act as a technical bridge between feature teams, platform teams and leadership.

What you'll need

• 12+ years of experience in software engineering, including significant hands-on development and architecture responsibilities.
• Proven experience delivering complex enterprise features at scale, while contributing to system design and evolution.
• Strong background in designing, building and modernizing enterprise platforms.
• Demonstrated ability to operate as a Principal Engineer / Lead Architect-level contributor.
• Hands-on experience with AI-enabled development practices (e.g., Copilot, LLM integrations, automation).
• Strong problem-solving skills with ability to debug and optimize across full-stack systems.
• Excellent communication and leadership skills with ability to influence across teams.
• Experience with AngularJS and/or modern Angular, including evolving legacy UI architectures into modular, maintainable systems.
• Deep expertise in C#/.NET, including ASP.NET MVC and Web APIs, building scalable and maintainable backend services.
• Strong experience with SQL Server and Entity Framework, including schema design, query optimization and transactional systems.
• Experience with Windows Services, WebJobs and asynchronous processing patterns supporting enterprise workloads.
• Strong experience designing and building Web APIs, WebHooks and event-driven systems.
• Experience implementing logging, monitoring and diagnostics frameworks such as ELMAH or equivalent.
• Experience applying AI/ML techniques in software engineering or product development.
• Familiarity with LLMs and prompt-driven systems.
• Familiarity with RAG architectures and knowledge retrieval systems.
• Familiarity with AI-assisted development tools (e.g., Copilot, code assistants).
• Ability to translate AI capabilities into practical engineering solutions and measurable impact.
• Strong interest in continuously evolving engineering practices using AI as a force multiplier.

Nice to have

• Experience with Java (Spring Boot) and related ecosystems for building microservices.
• Exposure to cloud platforms (AWS/Azure/GCP) and cloud-native architectures.
• Familiarity with microservices, containerization and DevOps practices.
• Experience working with distributed systems and integration-heavy architectures.
• Experience modernizing legacy enterprise platforms into modern architectures.
• Strong product mindset with ability to connect engineering work to business impact.
• Track record of influencing architecture across multiple teams.
• Contributions to engineering excellence, platform thinking or AI adoption initiatives.

Details

• Location: Hyderabad.