Role Description We are looking for a QA Engineer to manually test productivity desktop applications built on .NET across Windows and macOS platforms. You will work closely with product and engineering teams to ensure a high-quality experience for an AI-powered desktop product operating in a fast-paced, product-driven environment. This role requires strong cross-platform testing expertise, attention to detail, and the ability to translate product behavior into structured, actionable test cases and bug reports. Key Responsibilities - Perform manual functional testing of desktop applications across Windows and macOS - Validate application behavior on Windows 10/11 and macOS (Intel and Apple Silicon/ARM) - Design and author structured test cases from product specifications, UI walkthroughs, and exploratory testing - Maintain test cases in structured formats (CSV/spreadsheets) with clear steps, expected outcomes, and pass/fail criteria - Review and refine AI-generated test plans by removing redundancies, identifying edge cases, and improving clarity and coverage - Identify, document, and report bugs with precise reproduction steps, severity classification, screenshots, and logs - Test complex desktop UI flows including multi-window interfaces, drag-and-drop, system tray/menu bar interactions, modal dialogs, and installer flows - Validate platform-specific behaviors including Windows Shell extensions, registry-related behavior, NSIS installers, macOS app bundles, Info.plist configurations, and file associations - Test integrations with Microsoft 365 applications, including Outlook Classic and modern Outlook - Collaborate with engineering and product teams using Microsoft Teams and GitLab for issue tracking and communication Qualifications - 3+ years of experience in manual functional testing of desktop applications - Hands-on experience testing on both Windows and macOS environments (not limited to one platform) - Ability to test across Windows 10/11 and macOS (including Intel and Apple Silicon systems) - Strong experience in test case design and documentation from product requirements or exploratory testing - Experience refining and improving test plans, including AI-generated test cases - Strong bug reporting skills with clear, structured, and reproducible documentation - Familiarity with complex desktop UI patterns and system-level behaviors - Understanding of platform-specific components such as Windows Shell, registry, NSIS installers, macOS app bundles, and system integrations - Experience working with Microsoft Teams and Git-based issue tracking systems - Strong written English communication skills Good-To-Have Requirements - Experience testing Microsoft Entra ID / OAuth authentication flows - Experience with automation testing i.e. Selenium etc. - Exposure to AI or LLM-based chat applications - Experience validating installers (NSIS on Windows, .dmg/.app on macOS) - Experience working in fast-paced startup or product-driven environments

• designs, develops, and supports scalable automation solutions that drive operational efficiency • partners closely with business and technology teams to identify opportunities, deliver automation solutions, and enhance existing processes • plays a key role in advancing Origin Bank’s automation strategy through reliable execution, strong documentation, and continuous improvement of RPA capabilities • operates with moderate independence, contributing to solution design and supporting the full automation lifecycle from development through production support • designs, builds, and enhances automation solutions using RPA platforms with limited supervision • collaborates with business stakeholders to gather requirements and translate them into automation workflows and technical designs • executes testing plans, validates automation performance, and communicates results to stakeholders • designs automations with appropriate exception handling, logging, and recovery mechanisms to ensure reliability and resiliency • monitors the Blue Prism control room, triages exceptions, and determines resolution actions • supports production automations and participates in issue resolution and root cause analysis • works within a structured development lifecycle, including development, testing, deployment, and post-production support • integrates automation solutions with APIs, databases, and file-based systems as needed to support business processes • maintains comprehensive technical documentation for processes, objects, and supporting materials in accordance with departmental standards • identifies opportunities to improve process efficiency and scalability • shares automation knowledge and provides guidance to team members

• Defining and delivering an AI Ops network automation strategy aligned to business and customer outcomes • Identifying and implementing automation across network provisioning, configuration, monitoring, and analytics • Building and operating on‑prem AI infrastructure , including GPU‑enabled environments using Docker and Kubernetes • Deploying and orchestrating agentic AI systems (e.g., LangChain, LangGraph) • Embedding security best practices across AI pipelines (secrets management, access control, encryption, audit logging) • Developing automation using Python, Ansible, YAML , and integrating into CI/CD pipelines • Delivering network orchestration , inventory, telemetry, and NetFlow‑based analytics for a carrier‑grade environment • Collaborating closely with software, platform, and network engineering teams globally

• Define and deliver an AI Ops network automation strategy aligned to business and customer outcomes • Identify and implement automation across network provisioning, configuration, monitoring, and analytics • Build and operate on-prem AI infrastructure, including GPU-enabled environments using Docker and Kubernetes • Deploy and orchestrate agentic AI systems (e.g., LangChain, LangGraph) • Embed security best practices across AI pipelines (secrets management, access control, encryption, audit logging) • Develop automation using Python, Ansible, YAML, and integrating into CI/CD pipelines • Deliver network orchestration, inventory, telemetry, and NetFlow-based analytics for a carrier-grade environment • Collaborate closely with software, platform, and network engineering teams globally