Lead Software Engineer - Python

Posted 5 Days Ago
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Bangalore, Bengaluru Urban, Karnataka, IND
In-Office
Senior level
Analytics
The Role
Lead backend architecture and development of highly available Python/FastAPI systems powering company-wide AI features. Own technical decisions, build and maintain an MCP gateway, deploy and troubleshoot AWS services, design scalable data models and database schemas, implement secure API patterns, write tests and documentation, and provide code reviews. The role requires independent problem-solving in an ambiguous environment and collaboration with backend, frontend, and data science engineers.
Summary Generated by Built In

We build the backend that powers every AI feature in the company. From the models in production to the AI tools people use day to day, it all runs through systems our team owns and maintains. It's a role with real reach; the work you do here shows up across the whole company. 


About You – experience, education, skills, and accomplishments    

  • Minimum 6+ years of backend (Python) or full-stack software engineering experience  
  • Strong experience with FastAPI 
  • Experience with cloud services, preferably AWS  
  • Hands on experience of SQL and relational databases such as Postgres, MySQL, or similar  
  • Track record in architecting scalable data models and designing complex database schemas. 
  • Comfort with ambiguity — you don't need a detailed spec to get moving.

It would be great if you also had . . .    

  • Used or built MCP clients & servers, and understand how they operate under the hood 
  • Implemented RBAC, authentication, or authorization flows in production systems 
  • Experience with API gateway patterns — rate limiting, request routing, service-to-service auth.

What will you be doing in this role?   

  • Architect and build fast, clean, and highly available backend systems in Python/FastAPI  
  • Make the big architecture call. You'll own design decisions, not just implement someone else's diagram  
  • Build and maintain our MCP gateway, the piece of infrastructure that lets AI tools talk to Clarivate's products  
  • Deploy, run, and troubleshoot services on AWS  
  • Use AI tools as part of your workflow (copilot, agents, LLM-based tooling). We want someone who thinks with AI, not just about it  
  • Review code, swap feedback, and help each other write better software  
  • Take a vague problem, run with it, and come back with a solution  
  • Write tests that catch things, and docs that get read  

 About the Team     

The team is a mix of backend engineers, frontend engineers, and data scientists. We keep processes lean - we focus on what works and iterate when it doesn't, rather than rigidly adhering to a specific methodology.   


Hour of Work  

45 hours per week, permanent full-time position, IST time zone  

 


At Clarivate, we are committed to providing equal employment opportunities for all  qualified persons with respect to hiring, compensation, promotion, training, and other terms, conditions, and privileges of employment. We comply with applicable laws and regulations governing non-discrimination in all locations.

Skills Required

  • Minimum 6+ years of backend Python or full-stack software engineering experience
  • Strong experience with FastAPI
  • Experience with cloud services
  • Experience with AWS
  • Hands-on experience with SQL and relational databases such as PostgreSQL or MySQL
  • Experience architecting scalable data models and designing complex database schemas
  • Comfort working with ambiguity and limited specifications
  • Experience building or using MCP clients and servers
  • Understanding of MCP client and server operation
  • Production experience implementing RBAC, authentication, or authorization flows
  • Experience with API gateway patterns including rate limiting, request routing, and service-to-service authentication

Clarivate Analytics Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Clarivate Analytics and has not been reviewed or approved by Clarivate Analytics.

  • Strong & Reliable Incentives — Incentives in sales and select product/tech roles provide meaningful upside for high performers, with commission structures boosting total compensation when targets are exceeded. Role-linked variable pay is a clear strength in revenue-driving positions.
  • Leave & Time Off Breadth — PTO is ample in the U.S., with paid parental leave available, making time-off policies a notable part of the package. Generous vacation and holiday allowances stand out as positives.
  • Wellbeing & Lifestyle Benefits — Hybrid and remote options are common and paired with a formal wellbeing framework and EAP, supporting work–life balance. Core medical, dental, and vision coverage is broadly available in the U.S., reinforcing everyday wellbeing support.

Clarivate Analytics Insights

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The Company
HQ: London, PA
10,549 Employees

What We Do

Clarivate™ is a global leader in providing solutions to accelerate the lifecycle of innovation. Our bold mission is to help customers solve some of the world’s most complex problems by providing actionable information and insights that reduce the time from new ideas to life-changing inventions in the areas of science and intellectual property. We help customers discover, protect and commercialize their inventions using our trusted subscription and technology-based solutions coupled with deep domain expertise. For more information, please visit clarivate.com.

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