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Clarivate Analytics

Lead Software Engineer - Python

Posted 10 Days Ago
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In-Office
Noida, Gautam Buddha Nagar, Uttar Pradesh
Senior level
In-Office
Noida, Gautam Buddha Nagar, Uttar Pradesh
Senior level
Lead the delivery of technical projects using Python, design scalable systems, optimize databases and AWS architecture, and collaborate across teams.
The summary above was generated by AI

We are looking for a Lead Software Engineer, Python to join our Technology team at Clarivate. The successful candidate will have a strong background in leading complex Python projects, with a deep understanding of data processing and data analysis.

About You – experience, education, skills, and accomplishments

  • Bachelor’s degree in computer science or equivalent experience.

  • Minimum 5 years of backend (Python) engineering experience

  • Hands on experience of SQL and relational databases such as Postgres, MySQL, or similar with a track record in designing database schemas and architecting scalable data models

  • Implement data validation and cleansing processes to ensure data integrity.

  • Experience with cloud-based data storage and processing solutions, preferably AWS

  • Proficient understanding of code versioning tools such as GitHub.

  • Outstanding knowledge of XML, JSON, CSV, HTML and other textual formats. Structured and unstructured data

  • Should have understanding of containerization and deployment strategies using Docker and CI/CD pipelines.

  • Experience in system analysis and design, support and troubleshooting.

It would be great if you also had...

  • Experience with frontend technologies, ensuring maintainability and performance of Angular dashboards

  • Experience in REST API design development, preferably with Fast API

What will you be doing in this role?

  • Lead and own end-to-end delivery of complex technical projects across teams, ensuring alignment with business goals

  • Design and build highly scalable, reliable, and maintainable systems using Python

  • Drive database architecture decisions, performance tuning, indexing strategies and cost optimization for large-scale systems

  • Own and optimize AWS cloud architecture (S3, RDS, ECS), focusing on scalability, security and cost efficiency

  • Design and evolve microservices using Fast API, including API standards, versioning and service communication patterns

  • Manage robust data pipelines and workflows including monitoring, retries and failure handling strategies.

  • Proactively identify system bottlenecks and drive performance optimization and reliability improvements.

  • Collaborate with product, business and DevOps teams to translate requirements into scalable technical solutions.

  • Take ownership of production systems, including incident management, root cause analysis and long-term fixes.

  • Participate in technical roadmap planning and contribute to long-term architecture vision

About the team

Our team comprises highly skilled engineering professionals dedicated to designing, developing and maintaining scalable, secure and reliable technology solutions. Operating across backend, frontend, cloud infrastructure and data engineering, we leverage modern technologies and best practices to deliver high-impact business outcomes. We foster a culture of technical excellence, strategic ownership, innovation and cross-functional collaboration, enabling our teams to solve complex challenges while continuously advancing architecture, performance and operational efficiency. This environment offers the opportunity to contribute meaningfully to long-term technology vision and enterprise-scale transformation.

Hours of Work

This is permanent position with Clarivate. You will be working for 9 hours per day including 1 hour lunch break. 

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.

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