Technical Lead

Role Overview

We are looking for a Technical Lead who can drive platform development in a fast-paced engineering environment. The ideal candidate combines strong hands-on technical skills with the ability to formalize solutions, lead development efforts, and manage cloud environments for AI-based and .NET-based applications.

This role requires strong engineering leadership, architectural understanding, and the ability to translate business objectives into actionable technical execution. The candidate will also oversee environment readiness and cloud infrastructure across Production, QA, and Development.

Key Responsibilities

Technical Solutioning & Platform Development

• Convert business objectives and product requirements into clear technical solutions, workflows, and engineering plans.
• Provide hands-on technical leadership across architecture, design, API development, integrations, and platform evolution.
• Lead the implementation of scalable .NET Core applications, microservices, and cloud-native services.
• Own technical quality across modulescode reviews, standards enforcement, and best practices.

Cloud Infrastructure Oversight

• Oversee Azure cloud infrastructure for .NET and AI-based applications.
• Ensure Production, QA, and Dev environments are secure, stable, scalable, and cost-efficient.
• Coordinate closely with DevOps and Infra teams to maintain monitoring, logging, scaling, and release readiness.

Development Leadership & Execution

• Lead engineering teams in designing, developing, and deploying platform features.
• Guide sprint planning, effort estimations, dependency analysis, and solution reviews.
• Resolve technical challenges, unblock developers, and provide hands-on expertise when needed.
• Ensure delivery timelines are met without compromising technical quality.

AI & Integration Support

• Support integration of AI models, inference pipelines, vector databases, and API-driven AI components.
• Validate readiness of cloud infrastructure for AI workloads, security, and data processing needs.

Process & Quality Management

• Drive engineering best practicesmodular design, clean architecture, test automation, and observability.
• Monitor stability, performance metrics, SLAs, and platform health across environments.
• Enforce standardized branching, deployment workflows, and coding guidelines.

Required Technical Skills

• Strong hands-on experience with .NET Core, Web APIs, microservices, and distributed systems.
• Strong understanding of Azure cloud services, environment setup, scaling, and monitoring.
• Practical experience with CI/CD pipelines, IaC, containerization, and DevOps workflows.
• Familiarity with AI/ML components, model integration, REST-based AI services, or vector stores (good to have).
• Solid grounding in SQL Server/Postgres, performance tuning, and API optimization.

Soft Skills

• Ability to lead engineering teams with clarity and authority.
• Strong communication and stakeholder handling.
• Problem-solving orientation with the ability to make quick, informed decisions.
• Capable of balancing speed with technical rigor.