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Lead Software Engineer

Virtusa — Australia · Posted ~6 hours ago

Lead

Skills

software engineering leadership microservices event-driven architecture scalable systems observability reliability security TDD BDD automation SRE OpenTelemetry Prometheus Grafana CloudWatch Vault AWS Secrets Manager serverless

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Summary ✨ AI‑Generated

Lead the design and development of scalable microservices and event-driven applications from architecture through production. You will solve complex technical problems, address technical debt pragmatically, build reusable solutions, and align engineering decisions with business objectives. The role emphasizes observability, reliability, security, automated testing, SRE practices, and data-intensive architectures.

Highlights

Leadership-focused engineering role with responsibility for scalable architectures, complex technical challenges, reliability, observability, security, automated testing, and cross-team technical alignment.

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.