Job Summary
We are seeking an experienced Tech Lead to provide technical leadership and handson expertise in designing, modernizing, and delivering highquality software solutions. The ideal candidate is a strong individual contributor who can balance architecture, coding, mentoring, GenAIassisted development, and crossfunctional collaboration.
This role requires deep experience in Python and .NET application development, along with the ability to drive application techstack conversion, modernization, and standardization across teams. The Tech Lead will actively leverage GenAI and Agentic AI tools to accelerate development, improve code quality, and enhance engineering productivity in a global delivery environment.
Key Responsibilities
Technical Leadership & Architecture
Provide technical direction and architectural guidance for new development and modernization initiatives.
Own endtoend design decisions, ensuring solutions are scalable, secure, cloudready, and aligned with standardized enterprise architectures.
Lead application techstack conversion and standardization efforts, including migration and consolidation across Python and .NET platforms.
Review and approve architecture designs, code, and technical documentation.
Identify and drive systemic technical improvements, including reuse, simplification, and platform alignment.
HandsOn Development & GenAI Adoption
Actively contribute highquality, maintainable, and performant code using Python and .NET technologies.
Leverage GenAIbased developer tools (e.g., Copilot, Cursor, Claude, Windsurf) for:
Code generation and refactoring
Test case creation
Documentation and design acceleration
Debugging and optimization
Apply prompt engineering best practices to improve accuracy, efficiency, and consistency of GenAI outputs.
Lead by example in coding standards, testing practices, CI/CD, and DevOps automation.
Troubleshoot complex technical issues and ensure timely, rootcauseoriented resolutions.
Agentic AI–Driven Engineering
Design and guide the use of Agentic AI workflows for software development activities such as:
Automated code reviews and refactoring
Dependency analysis and impact assessment
Regression detection and test automation
Operational and observability insights
Evaluate and recommend Agentic AI frameworks or approaches that improve developer productivity and software quality.
Ensure Agentic AI solutions are secure, auditable, and aligned with enterprise governance standards.
Team Leadership & Mentoring
Mentor and coach developers on modern application architecture, Python/.NET best practices, and AIassisted development techniques.
Support sprint planning, backlog grooming, and Agile ceremonies.
Delegate tasks effectively while maintaining accountability for quality and delivery.
Foster a collaborative, learningoriented engineering culture with a strong focus on continuous improvement.
Project & Stakeholder Management
Partner with product managers, architects, QA, and business stakeholders to translate requirements into technical solutions.
Estimate development effort and support planning of timelines, milestones, and deliverables.
Ensure projects are delivered on time, within scope, and in compliance with technical and quality standards.
Communicate technical tradeoffs and risks clearly to both technical and nontechnical audiences.
Quality, Security & Performance
Enforce best practices in secure coding, scalability, performance optimization, and resilience.
Drive adoption of automated testing, CI/CD pipelines, infrastructure as code, and observability practices.
Ensure systems are reliable, maintainable, and productionready, including AIassisted components.
Required Skills & Qualifications
Bachelor’s degree in Computer Science, Engineering, or a related field.
6–12+ years of handson software development experience.
Proven experience as a Senior Developer or Tech Lead guiding engineering teams.
Strong handson expertise in Python and .NET application development.
Experience leading or contributing to application techstack conversion, modernization, and standardization initiatives.
Strong understanding of:
Software architecture and design patterns
Microservices and API design
Cloud platforms (Azure, AWS, or Google Cloud Platform)
SQL and NoSQL databases
CI/CD pipelines and DevOps practices
Handson experience using GenAIbased code generation tools (e.g., Copilot, Cursor, Claude, Windsurf).
Practical experience with prompt engineering and leveraging GenAI for daytoday engineering tasks.
Exposure to or handson experience with Agentic AI concepts and tools for software development workflows.
Solid understanding of Agile/Scrum methodologie
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