Senior Technical Lead

Job Summary

highly skilled Technical Lead to build and scale cloud-native backend systems on Azure. This role combines hands-on engineering, technical leadership, and innovation in Generative AI to deliver high-impact solutions for global clients. The ideal candidate is a proactive leader who can balance deep technical expertise with team leadership, drive architectural decisions, and ensure high-quality delivery while collaborating with internal and external stakeholders.

Key Responsibilities

Technical Leadership • Lead and mentor a cross-functional engineering team (5–7 engineers), ensuring high standards in code quality and delivery • Own backend architecture, system design, and engineering roadmap • Drive end-to-end design, development, and deployment of scalable systems • Conduct code reviews, enforce best practices, and resolve complex technical challenges • Drive internal R&D initiatives in GenAI, automation, and scalable cloud solutions Backend Engineering • Design and build high-performance, scalable, and secure REST APIs using FastAPI • Develop microservices and distributed systems with fault tolerance and resiliency • Optimize systems for latency, scalability, and reliability • Implement best practices for: o Performance optimization o Security o Testing (unit/integration) o Observability (logging, metrics, tracing) Cloud & DevOps (Azure) • Architect and deploy cloud-native solutions using: o Compute: Azure App Services, Container Apps, AKS, Azure Functions o Data: Azure SQL, Cosmos DB, Storage Accounts o Monitoring: Application Insights, Log Analytics • Build and manage CI/CD pipelines using Azure DevOps • Implement Infrastructure-as-Code using Terraform (preferred) or Bicep • Ensure: o High availability and fault tolerance o Monitoring, alerting, and observability o Cost optimization and governance Client & Stakeholder Management • Act as the primary technical point of contact for internal clients • Lead technical discussions, solution design workshops, and architecture reviews • Translate business requirements into scalable technical solutions • Communicate risks, trade-offs, and progress effectively • Present technical concepts clearly to both technical and non-technical stakeholders Generative AI (Preferred) • Design and implement RAG-based architecture and LLM-powered services • Work with: o Azure OpenAI / OpenAI APIs o Vector databases (e.g., Azure AI Search) • Build production-grade GenAI applications focusing on scalability, latency, and security • Evaluate and integrate emerging AI technologies into client solutions Leadership & Soft Skills • Communication: Clearly explains technical decisions, trade-offs, and risks; leads client discussions confidently • Team Leadership: Mentors engineers, provides actionable feedback, and maintains high engineering standards • Ownership: Takes end-to-end responsibility for delivery, production issues, and system quality • Decision-Making: Makes sound technical decisions under ambiguity, balancing short-term needs and long-term design • Execution: Drives predictable delivery, proactively manages risks, and ensures high-quality outcomes • Collaboration: Works effectively across engineering, product, and business teams • Adaptability: Quickly learns, adopts new technologies (especially GenAI), and drives continuous improvement