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:
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Performance optimization
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Security
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Testing (unit/integration)
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Observability (logging, metrics, tracing)
Cloud & DevOps (Azure)

Architect and deploy cloud-native solutions using:
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Compute: Azure App Services, Container Apps, AKS, Azure Functions
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Data: Azure SQL, Cosmos DB, Storage Accounts
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Monitoring: Application Insights, Log Analytics

Build and manage CI/CD pipelines using Azure DevOps





Implement Infrastructure-as-Code using Terraform (preferred) or Bicep

Ensure:
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High availability and fault tolerance
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Monitoring, alerting, and observability
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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:
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Azure OpenAI / OpenAI APIs
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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

Skill Requirements

8–12 years in core software development, distributed systems, or large-scale platform engineering - including solid Python and Nodejs expertise.

4-5 years building, deploying, and scaling machine learning models, LLMs, or agentic workflows into live production.

Deep experience with FastAPI (or similar modern frameworks)

Hands-on experience with Azure cloud architecture and operations

Strong knowledge of:
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Microservices and distributed systems
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Docker and Kubernetes (ACA and AKS)

Proven experience with:
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CI/CD pipelines (Azure DevOps)
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Infrastructure as Code (Terraform preferred)

Demonstrated leadership experience in mentoring teams and driving delivery
Preferred Skills

Experience with Azure AI foundry, Databricks, or big data pipelines

Knowledge of event-driven systems (Azure Service Bus, Azure Data Factory)

Familiarity with API gateways and service mesh

Understanding of cloud security, IAM, and governance

Must Have Skill

Azure Cloud Services,Azure Kubernetes Service (AKS),Docker,Microservices,Node.js,Python

Good to Have Skill

Other Requirements

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📌 Senior Technical Lead (India)
🏢 HCLTech
📍 India