DontApply.Club
Login Register

Lead Software Engineer

Virtusa — Australia · Posted ~4 hours ago

Lead Full-time

Skills

Microservices Event-driven architecture Scalable architectures API design Serverless Observability Reliability engineering OpenTelemetry Prometheus Grafana AWS CloudWatch Security best practices Vault AWS Secrets Manager Certificate management TDD BDD Test automation SRE principles 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 centered on designing and delivering scalable microservices, event-driven, serverless, and data-intensive systems. You will guide technical decisions, address technical debt, establish reliability and observability practices, strengthen security, and deliver reusable solutions across teams.

Highlights

Lead-level engineering role focused on scalable, reliable, and secure distributed systems. Offers broad technical ownership from design through production, cross-team impact, reusable engineering solutions, and exposure to AI/ML.

Description

Job Requirements "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. Work Experience 7-10Years