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TalentHawk Logo TalentHawk · IT - Software Development

SaaS Technical Team Lead

United Kingdom, London 100000.00 - 120000.00 GBP / Year · Job Posted March 19, 2026
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Job Description

We are seeking an experienced and enthusiastic Engineering Team Leader to drive the development and growth of our clients market-leading, data-driven SaaS applications. This exciting opportunity will see you leading a talented team of Python and Typescript engineers, collaborating closely with different teams including Product Management. You will be crucial in building cutting-edge, AWS cloud-native data science and visualization applications, utilizing a modern tech stack including Python, React, Typescript, and AWS.

Job Responsibility

  • Lead and mentor a team of Python and Typescript engineers, fostering a collaborative and high-performing team dynamic
  • Develop and implement technology roadmaps that align with business objectives and foster innovation.
  • Oversee the complete application design and development lifecycle, emphasizing testability, product excellence, and maintainability.
  • Ensure the system architecture aligns to best practices, prioritizing scalability, reliability, and security within the AWS cloud environment.

Requirements

  • Proven track record in leading and managing software development teams. (up to 10)
  • Demonstrated expertise in developing single-tenant and multi-tenant B2B SaaS applications with REST APIs.
  • Strong understanding of architectural design principles and practical experience using AWS services such as Cognito, Lambda, Fargate, and API Gateway.
  • Experience building data science and financial data visualization applications using Typescript.
  • Excellent analytical and troubleshooting skills with a proactive approach.
  • Exceptional communication skills, both written and verbal, enabling effective collaboration with development teams and product managers.

Nice to have

  • Excellent communication skills with the ability to clearly articulate technical concepts to both technical and non-technical audiences.
  • Experience with data science tools such as Spark, pandas, DuckDB, DataBricks, or Snowflake.
  • Knowledge of Agile development methodologies and continuous delivery practices.
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