StudyNet Pty Ltd

About the Role We are seeking an experienced and innovative Lead QA Automation & AI Testing Engineer to lead quality assurance initiatives across our digital products, AI-powered applications, and enterprise software platforms. The successful candidate will play a key role in establishing testing standards, building automation frameworks, validating AI systems, and ensuring the delivery of high-quality, scalable, and reliable software solutions. This position requires a combination of expertise in test automation, performance engineering, AI system validation, software quality assurance, and team leadership. The candidate will collaborate closely with Software Engineers, DevOps Engineers, Product Managers, Data Scientists, and AI teams to drive quality throughout the software development lifecycle. Key Responsibilities QA Strategy & Leadership ✔ Define and implement the overall Quality Assurance strategy, standards, processes, and best practices across multiple projects. ✔ Establish and maintain scalable testing frameworks, quality metrics, and release validation procedures. ✔ Lead QA planning activities and ensure comprehensive test coverage throughout the software development lifecycle. ✔ Mentor and support QA team members to improve testing capabilities, automation coverage, and engineering excellence. Test Automation Engineering ✔ Design, develop, and maintain automated testing frameworks using tools and technologies such as: Python Selenium WebDriver Playwright PyTest API Testing Frameworks ✔ Create and execute automated test scripts for: Functional Testing Regression Testing Integration Testing End-to-End Testing API Testing ✔ Continuously improve automation coverage and testing efficiency. AI Testing & Validation ✔ Design and execute testing strategies for AI-powered applications and intelligent systems. ✔ Validate AI-generated outputs for: Accuracy Consistency Reliability Performance Business Requirements Compliance ✔ Identify potential risks, biases, hallucinations, and unexpected AI behavior. ✔ Develop testing methodologies for Large Language Models (LLMs), AI agents, and machine learning-powered features. ✔ Collaborate with AI and development teams to improve system quality and trustworthiness. Performance & Load Testing ✔ Develop and implement performance testing strategies for web applications, APIs, and AI-driven systems. ✔ Conduct: Load Testing Stress Testing Scalability Testing Endurance Testing ✔ Identify performance bottlenecks and recommend optimization strategies. ✔ Analyze system behavior under varying workloads and provide performance improvement recommendations. CI/CD & DevOps Integration ✔ Integrate automated testing frameworks into CI/CD pipelines. ✔ Support continuous testing and quality validation throughout the deployment lifecycle. ✔ Collaborate with DevOps teams to improve deployment quality, release confidence, and production stability. ✔ Ensure quality gates and automated validation mechanisms are incorporated into delivery workflows. Defect Management & Quality Monitoring ✔ Identify, document, prioritize, and track software defects through resolution. ✔ Perform root cause analysis for recurring issues and quality concerns. ✔ Monitor software quality trends and recommend process improvements. ✔ Ensure timely validation of bug fixes and software releases. Reporting & Quality Metrics ✔ Prepare and maintain: Test Plans Test Cases Automation Reports Defect Reports Performance Analysis Reports Quality Metrics Dashboards ✔ Present testing results, quality insights, and risk assessments to project stakeholders and management. Cross-Functional Collaboration ✔ Work closely with Developers, Product Managers, Business Analysts, DevOps Engineers, and AI Teams. ✔ Participate in Agile ceremonies, sprint planning, backlog refinement, and release planning activities. ✔ Contribute to quality-focused decision-making throughout project execution. Why Join Us? ✔ Opportunity to work on innovative AI-powered products and modern digital platforms. ✔ Exposure to advanced automation testing, AI validation, and performance engineering practices. ✔ Opportunity to shape and lead the organization's QA automation strategy. ✔ Collaborative, technology-focused, and innovation-driven work environment. ✔ Continuous learning, professional growth, and career advancement opportunities. ✔ Work with modern technologies, cloud platforms, and next-generation software solutions.

StudyNet.io is a rapidly growing vertical SaaS platform evolving towards a scalable multi-tenant architecture. We are looking for a highly skilled and hands-on Lead Software Engineer to drive technical excellence, cloud infrastructure management, software architecture, and engineering team delivery. This role is ideal for an experienced software engineer who enjoys both coding and leadership. The successful candidate will actively contribute to development while leading a Scrum team, making architectural decisions, managing cloud infrastructure, and ensuring the platform remains secure, scalable, and highly available. The Lead Software Engineer will work closely with the Product Owner, Development Team, QA Team, Design Team, and AI Team to deliver high-quality software solutions and support the company's long-term technology roadmap. Key Responsibilities Software Architecture & Technical Leadership ✔ Own, maintain, and continuously improve the ASP.NET Core application architecture. ✔ Design scalable, secure, and maintainable software solutions aligned with business objectives. ✔ Establish engineering standards, coding guidelines, and software development best practices. ✔ Actively contribute to application development through hands-on coding, code reviews, and technical problem-solving. ✔ Drive technical decision-making and provide guidance on system architecture and design patterns. Multi-Tenant Platform Development ✔ Design and implement multi-tenant SaaS architecture to support platform scalability and customer growth. ✔ Define and manage tenant isolation strategies, data segregation models, and resource allocation approaches. ✔ Evaluate shared versus dedicated infrastructure models to optimize performance, security, and cost efficiency. ✔ Ensure platform scalability, reliability, and maintainability as the customer base expands. Azure Cloud Infrastructure Management ✔ Own and manage the organization’s Microsoft Azure environment and cloud infrastructure. ✔ Configure, monitor, and optimize Azure services, including: Azure App Services Azure SQL Database Azure Blob Storage Azure Key Vault Azure Networking Identity & Access Management Security and Compliance Controls ✔ Ensure infrastructure availability, security, disaster recovery readiness, and performance optimization. DevOps, CI/CD & Deployment Management ✔ Design, implement, and maintain CI/CD pipelines using Azure DevOps. ✔ Manage development, staging, testing, and production environments. ✔ Automate build, deployment, and release management processes. ✔ Improve deployment reliability, release efficiency, and operational stability. ✔ Continuously optimize DevOps practices and engineering workflows. Incident Management & Production Support ✔ Act as the primary technical escalation point during production incidents and critical system failures. ✔ Diagnose and resolve infrastructure issues, deployment failures, application outages, and performance bottlenecks. ✔ Conduct root cause analysis (RCA) and implement preventive measures to minimize recurrence. ✔ Ensure rapid incident response and service restoration. Scrum Team Leadership ✔ Lead and mentor a Scrum team of software engineers. ✔ Facilitate Agile ceremonies, including: Sprint Planning Daily Stand-ups Sprint Reviews Sprint Retrospectives Backlog Refinement Sessions ✔ Monitor team velocity, delivery commitments, and sprint performance. ✔ Support team members through coaching, technical guidance, and knowledge sharing. Product & Stakeholder Collaboration ✔ Collaborate directly with the Product Owner to transform business requirements into technical solutions. ✔ Break down product features into technical specifications, user stories, development tasks, and sprint-ready deliverables. ✔ Participate in roadmap planning, effort estimation, and release planning activities. ✔ Provide technical recommendations that support business growth and product innovation. AI & Emerging Technology Integration ✔ Evaluate and integrate AI-powered solutions into the platform roadmap. ✔ Work with Microsoft Azure AI services, including: Azure AI Foundry Azure OpenAI Services AI Automation Tools Intelligent Workflow Solutions ✔ Identify opportunities to leverage AI for improved product functionality, efficiency, and customer experience. Platform Monitoring & Observability ✔ Establish and maintain monitoring, logging, and observability systems. ✔ Implement proactive alerting and performance monitoring strategies. ✔ Monitor application health, infrastructure performance, and system availability. ✔ Ensure issues are detected and resolved before impacting customers. Code Quality & Engineering Excellence ✔ Lead code review processes and maintain high engineering standards. ✔ Enforce pull request (PR) guidelines and software quality practices. ✔ Promote testability, maintainability, security, and performance optimization. ✔ Foster a culture of continuous improvement and technical excellence. Cross-Functional Collaboration ✔ Work closely with QA Engineers, Designers, AI Specialists, DevOps Engineers, and Product Teams. ✔ Coordinate dependencies across teams to ensure smooth project execution and timely delivery. ✔ Support end-to-end product development, testing, deployment, and operational readiness. Why Join This Role? ✔ Lead the technical evolution of a growing SaaS platform ✔ Work with modern technologies including ASP.NET Core, Azure Cloud, DevOps, and AI ✔ Directly influence architecture, product strategy, and engineering culture ✔ Hands-on leadership with real ownership and decision-making authority ✔ Opportunity to build scalable, enterprise-grade software used by multiple customers