Key Responsibilities

Technical Leadership

- Lead and mentor a cross-functional engineering team (57 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:

- Performance optimization

- Security

- Testing (unit/integration)

- Observability (logging, metrics, tracing.

Cloud &

- DevOps (Azure)

- Architect and deploy cloud-native solutions using:

- Compute: Azure App Services, Container Apps, AKS, Azure Functions

- Data: Azure SQL, Cosmos DB, Storage Accounts

- Monitoring: Application Insights, Log Analytics

- Build and manage CI/CD pipelines using Azure DevOps

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

- Ensure:

- High availability and fault tolerance

- Monitoring, alerting, and observability

- 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:

- Azure OpenAI / OpenAI APIs

- 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

Required Skills &

- Qualifications

- 812 years in core software development, distributed systems, or large-scale platform

engineering - including strong 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

- Solid knowledge of:

- Microservices and distributed systems

- Docker and Kubernetes (ACA and AKS)

- Proven experience with:

- CI/CD pipelines (Azure DevOps)

- Infrastructure as Code (Terraform preferred)

- Demonstrated leadership experience in mentoring teams and driving delivery .

📌 Technical Lead Backend (Bengaluru)
🏢 Experis
📍 Bengaluru