Lead Python Engineer

As a Technical Lead, you will play a key role in leading engineering teams and working closely with clients to translate business requirements into scalable, production-ready solutions.

This is a hands-on leadership role where you'll guide delivery, shape architecture, and ensure best practices across development, DevOps, and agile methodologies.

Key Responsibilities

• Lead and mentor engineering teams, providing both technical and line management leadership
• Own the successful delivery of projects, ensuring quality, scalability, and performance
• Work directly with clients to translate business requirements into technical solutions
• Identify and resolve risks or blockers early in the delivery lifecycle
• Drive best practices across software engineering, DevOps, and agile ways of working
• Contribute to architecture and design decisions, ensuring long-term maintainability
• Provide clear updates to stakeholders, supporting informed decision-making

• Strong background in software engineering, either as a Senior Engineer or Technical Lead
• Experience with JavaScript (Node.js/TypeScript) or Python-based environments
• Proven experience leading teams through end-to-end technical delivery
• Experience working directly with clients or stakeholders in a consultative environment
• Strong understanding of agile methodologies, design patterns, and best practices
• Experience with test-driven development and modern testing approaches
• Proficiency with version control tools (e.g. Git)
• Solid understanding of cloud platforms (AWS, Azure, or GCP) and DevOps practices
• Awareness of operational concerns such as monitoring, performance, security, and compliance
• Strong communication skills with a collaborative, people-first approach

Velocity Tech has partnered with a global digital consultancy specialising in data, AI, and modern software engineering, helping enterprise clients build scalable, high-impact digital products. With a strong reputation for solving complex technical challenges, they work with leading organisations to deliver AI-enabled solutions, modernise legacy systems, and build high-performance applications. Their teams are distributed globally and operate in a highly collaborative, engineering-led environment.