DontApply.Club
Login Register

Lead Software Engineer

Virtusa — Australia · Posted ~8 hours ago

Lead Full-time

Skills

Microservices Event-driven architecture Scalable systems Technical leadership System design Production engineering Observability Reliability engineering Security best practices Testing Test automation Data-intensive applications Serverless architecture Deployment strategies SRE principles Serverless OpenTelemetry Prometheus Grafana CloudWatch Vault AWS Secrets Manager TDD BDD SRE AI/ML

🔓 Log in to save this job, tailor your resume & track your apply process — 7 days free, no card needed.

Log in to add to target list

Summary ✨ AI‑Generated

A lead software engineering position focused on designing and building scalable microservices, event-driven, serverless, and data-intensive systems. You will lead technical decisions from design through production, address technical debt, improve reliability and observability, apply strong security and testing practices, and deliver reusable solutions across engineering teams.

Highlights

Lead-level engineering role with ownership of scalable architectures and complex technical challenges from design through production, emphasizing reliability, observability, security, reusable solutions, and cross-team impact.

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.