Tech Lead (SaaS Product) – Python & MS Azure

Company Description

technical excellence, high ownership, and continuous mentorship.

Role Description

Lead Full Stack Developer

Ready to Take Responsibility:

Mentor & Coach:

Existing Product Mastery:

Key Responsibilities:

1. Architect, design, and build 

   multi-tenant SaaS backend

    using 

   Python

    and 

   Azure Function Apps

2. Implement LLM integrations

    (e.g. OpenAI, Gemini) with best practices for API throttling, token usage, and performance optimization
3. Develop and manage 

   Azure services

    such as 

   Blob Storage

   , 

   Table Storage

   , and 

   NoSQL databases

4. Establish robust API frameworks

   , data models, and event-driven workflows
5. Collaborate with product and business teams to translate requirements into scalable technical solutions
6. Lead and mentor a small team of developers, enforcing coding best practices and architectural standards
7. Set up and maintain CI/CD pipelines, monitoring, and deployment strategies (DevOps exposure)
8. Ensure system security, compliance, and scalability
9. Contribute to product roadmap discussions and take full ownership of technical decisions

Required Skills & Expertise:

• Core:

   Python (FastAPI / Flask / Azure Functions)

• Cloud:

   Microsoft Azure (Function Apps, Blob, Table Storage, Key Vault, Service Bus)

• Database:

   Azure Table Storage, Cosmos DB, NoSQL

• AI Integrations:

   OpenAI, Gemini, LLM APIs

• Architecture:

   Multi-tenant SaaS, Event-driven, Serverless

• DevOps:

   Azure DevOps / GitHub Actions, CI/CD, Monitoring, Scaling

Qualifications:

• 5 to 8 years of backend development experience with 

  Python

• Proven experience building SaaS products from scratch

• Strong expertise in Azure Function Apps

  , 

  serverless architecture

  , and 

  Azure storage services

• Deep understanding of multi-tenant architecture

   and 

  API design

• Experience integrating LLMs

   (OpenAI / Gemini) and handling 

  rate limits, retries, caching

• Exposure to DevOps

   and cloud deployment automation
• Strong 

  product mindset

   — balancing speed, scalability, and business impact
• Leadership skills: mentoring juniors, managing sprints, enforcing code quality