Lead Software Engineer

The Lead Software Engineer will provide technical leadership across a growing suite of enterprise SaaS applications. The Lead Software Engineer will work closely with product and technology leadership to shape engineering strategy, design scalable solutions, introduce AI-powered development practices, and build agentic systems that integrate with existing products.

• 5-8 years of professional software engineering experience. \n

• Strong experience with multiple programming languages and modern frameworks. \n

• Experience with Python, NodeJS, ReactJS, Bootstrap, and/or ANT Design. \n

• Experience designing and implementing agentic systems and AI-powered solutions. \n

• Hands-on experience with frameworks such as LangGraph, LangChain, LangFuse, or OpenAI Agents SDK. \n

• Strong experience with AWS cloud services and serverless technologies. \n

• Experience with AWS Lambda, SNS, API Gateway, and EC2. \n

• Experience with PostgreSQL and/or AWS Aurora. \n

• Experience with GraphQL and AWS AppSync. \n

• Strong understanding of automated testing, code reviews, CI, and software quality practices. \n

• Experience working in Agile software development environments. \n

• Proven experience managing complex projects from conception through implementation. \n

• Strong technical leadership, communication, stakeholder management, and team coaching skills. \n

• Ability to influence technical decisions across engineering and product teams. \n, * Experience with Golang. \n

• Experience scaling enterprise SaaS applications. \n

• Strong understanding of serverless architecture and cloud-native development. \n

• Experience leading engineering teams and mentoring software developers. \n

• Experience using AI tools to improve software development workflows. \n

• Experience collaborating across Product, UX, Quality, and Release teams. \n

• Strong client engagement and relationship management experience. \n

• Experience working in rapidly changing, collaborative environments. \n

• Familiarity with Google Workspace, including Docs, Slides, and Sheets. \n

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• Lead technical strategy, architecture, and engineering initiatives across enterprise applications. \n

• Partner with product leadership on prioritisation and enterprise-level feature design. \n

• Define and document engineering policies, standards, and development best practices. \n

• Identify and implement AI engineering tools to improve development efficiency. \n

• Design and implement agentic systems using modern AI frameworks and technologies. \n

• Provide technology recommendations and technical guidance to engineering teams. \n

• Audit existing products and processes and recommend improvements. \n

• Establish and lead code reviews, automated testing, CI, and QA practices. \n

• Support high-level technical design, project planning, and implementation. \n

• Help scale applications while advancing serverless cloud infrastructure where appropriate. \n

• Mentor engineers and provide technical and career development guidance. \n

• Support hiring recommendations, resource allocation, and project prioritisation. \n

• Collaborate effectively across Product, UX, QA, Release, and Technology teams. \n