Lead Software Engineer

Job Overview

JOB DETAILS

REQUIREMENTS

• 8+ years of experience in software engineering with a focus on .NET and C#.
• Strong proficiency in SQL Server and database design.
• Proven experience with Azure migration and building cloud-native applications.
• Familiarity with AI code assistants like GitHub Copilot, Claude, or similar tools.
• Experience in automated testing, TDD, and CI/CD pipelines.
• Ability to work in a fast-paced, agile environment with AI-enhanced workflows.
• Experience with microservices architecture and containerization and container orchestration.
• Background in building production grade code, fully automated testing and continuous delivery practices
• Knowledge of Azure DevOps and related Azure tools.
• Exposure to AI/ML concepts and tools.
• Strong ownership mindset, communication skills

RESPONSIBILITIES

• Lead the design, development, and deployment of enterprise-grade applications using .NET, C#, and SQL Server.
• Architect and execute Azure migration strategies, including re-platforming and modernization of legacy systems.
• Build and optimize cloud-native solutions leveraging Azure services (e.g., AKS, Cosmos DB, App Services, Functions).
• Operate in an AI driven SDLC environment:
• Translate stakeholder conversations into structured specifications using AI copilots.
• Collaborate with generative AI to iterate on user flows, interfaces, and architectures.
• Pair program with AI tools (e.g., GitHub Copilot, Claude) to write, refactor, and test code in real-time.
• Write, test and produce production grade code in financial services without relying on testing by other groups
• Implement intelligent testing frameworks that auto-generate test cases, predict bugs, and enable self-healing.
• Leverage code assistants and go through large code bases, identify opportunities and make changes.
• Write automated tests concurrently with code development to ensure continuous integration and delivery, able to work API testing tool.
• Mentor junior engineers and promote best practices in cloud engineering and AI-assisted development.

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