DontApply.Club
Login Register

Lead Software Engineer

Virtusa — Australia · Posted ~16 hours ago

Lead

Skills

microservices event-driven architecture scalable systems system design production engineering observability reliability security testing TDD BDD automation API design serverless SRE Microservices OpenTelemetry Prometheus Grafana CloudWatch Vault AWS Secrets Manager

🔓 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

Lead the design and delivery of scalable microservices and event-driven applications, solving complex technical challenges from architecture through production. Drive pragmatic approaches to technical debt, observability, reliability, security, testing, automation, data-intensive systems, serverless architectures, and SRE practices, with optional exposure to AI/ML.

Highlights

Leadership role focused on scalable architectures, complex technical challenges, reliability, security, observability, automation, and pragmatic modernization, with opportunities to influence reusable engineering solutions across teams.

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.