Lead Software Engineer

"Have demonstrable experience leading and building scalable microservices and event-driven applications

Can solve complex technical challenges from design through to production

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"Address tech debt with a pragmatic, commercially focused approach

Translate requirements into solid engineering deliverables

Deliver reusable solutions used across teams and products

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"Collaborate across teams and align technical decisions with business goals

Expertise in observability and reliability practices, leveraging tools such as OpenTelemetry, Prometheus, Grafana and CloudWatch

A solid understanding of security best practices, including Vault, AWS Secrets Manager and certificate management

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"Experience with testing methodologies (TDD, BDD) and automation frameworks

Ability to design and implement data-intensive applications and scalable architectures (API, microservices, event-driven, serverless)

Knowledge of deployment strategies and SRE principles

Interest or experience in AI/ML technologies and emerging tools

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"AI & Chatbot Integration: Exposure to building AI-driven support tools, such as integrating with LLMs/ChatGPT for developer support. Knowledge of the Model Context Protocol (MCP) server concept or similar ChatGPT plugin development is a plus, as this squad owns an AI ChatBot for developer enablement.