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Lead Software Engineer

Virtusa — Australia · Posted ~4 hours ago

Lead

Skills

Microservices Event-driven architecture Scalable systems System design Production engineering Technical leadership Observability Reliability engineering Security TDD BDD Test automation API design Serverless architecture SRE APIs Serverless OpenTelemetry Prometheus Grafana CloudWatch Vault AWS Secrets Manager

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Summary ✨ AI‑Generated

A lead software engineering role focused on scalable microservices, event-driven systems, and data-intensive applications. You will guide architecture from design through production, address technical debt pragmatically, establish observability and security practices, apply modern testing approaches, and align technical decisions with business objectives.

Highlights

Lead the design and delivery of scalable microservices and event-driven systems, solve complex technical challenges, promote reliability and observability, and deliver reusable engineering solutions aligned with business goals.

Description

"Have demonstrable experience leading and building scalable microservices and event-driven applications Can solve complex technical challenges from design through to production " "Address tech debt with a pragmatic, commercially focused approach Translate requirements into solid engineering deliverables Deliver reusable solutions used across teams and products " "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 " "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 " "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.