Applaudo

• Design and implement AI-powered testing agents for functional, regression, and integration testing. • Build AI workflows capable of interpreting user stories and business requirements to generate automated test scenarios. • Evaluate and optimize AI-generated testing results by refining prompts and improving testing accuracy. • Develop and maintain API automation using Playwright. • Build and maintain mobile automation frameworks using WebDriverIO. • Integrate AI-powered testing solutions into CI/CD pipelines. • Document AI-generated execution evidence, logs, screenshots, and testing reports. • Collaborate with engineering teams to continuously improve AI-driven testing strategies, automation frameworks, and software quality practices. • Research and promote emerging AI technologies that improve testing efficiency and engineering productivity.

• Propose and implement best practices related to cloud architecture, security, governance, scalability, and reliability. • Write and maintain Terraform configurations to manage GCP infrastructure as code. • Design and maintain infrastructure, network, topology, and service diagrams across Development, QA, and Production environments. • Support and optimize CI/CD lifecycle processes and deployment workflows. • Collaborate with technical teams to guide cloud implementation strategies and operational excellence initiatives. • Take ownership of assigned cloud environments, ensuring stability, security, and performance. • Provide technical guidance and support to engineering teams regarding cloud infrastructure and DevOps practices. • Contribute to continuous improvement initiatives focused on automation, scalability, and operational efficiency.

• Design, develop, and maintain scalable frontend applications and reusable UI components using React and Next.js. • Build responsive, accessible, and high-performance user interfaces for digital commerce experiences. • Promote engineering best practices related to component architecture, design systems, state management, and application scalability. • Collaborate closely with Product, UX, Backend Engineering, and Platform teams to deliver end-to-end customer experiences. • Support market-specific implementations while maintaining a scalable and consistent frontend platform. • Partner with Analytics teams to implement instrumentation, A/B testing, and experimentation initiatives. • Participate in architecture discussions, code reviews, and continuous improvement initiatives. • Collaborate with QA, DevOps, and Product teams to support release planning and continuous delivery. • Troubleshoot production issues and leverage observability tools to improve platform reliability and performance.

• Investigate and resolve complex production incidents across distributed applications and microservices. • Analyze application logs, APIs, SQL data, and system integrations to identify root causes of production issues. • Perform structured Root Cause Analysis (RCA) and document findings, corrective actions, and preventive recommendations. • Debug backend services developed primarily in Node.js and TypeScript, implementing small code fixes when required. • Validate production fixes through API testing, SQL validation, and regression verification before deployment. • Collaborate closely with Development, QA, Infrastructure, and third-party vendors to coordinate incident resolution. • Differentiate issues originating from internally managed applications versus external platforms and coordinate the appropriate resolution path. • Monitor production environments and proactively identify potential risks before they impact business operations. • Communicate investigation progress, technical findings, and recommendations to both technical teams and business stakeholders. • Support deployment validation and investigate issues related to releases, configuration changes, or infrastructure updates. • Contribute to the continuous improvement of support processes, documentation, and operational best practices. • Prioritize multiple production incidents based on business impact while maintaining high-quality communication throughout the resolution process.

• Design, provision, and maintain secure, scalable Azure infrastructure using Terraform and Infrastructure as Code best practices. • Build and optimize reusable Terraform modules and infrastructure automation pipelines. • Deploy, administer, monitor, and troubleshoot Azure Kubernetes Service (AKS) clusters. • Manage Azure networking, identity, security, and governance components. • Develop and maintain CI/CD pipelines using GitHub Actions and Azure DevOps. • Automate cloud operations using Bash, PowerShell, and Python. • Monitor infrastructure performance, availability, and security through Azure observability tools. • Troubleshoot complex infrastructure, networking, Kubernetes, and deployment issues while driving long-term platform improvements. • Collaborate with engineering teams to improve cloud reliability, scalability, security, and operational excellence. • Participate in architecture discussions and provide technical leadership for Azure platform initiatives.

• Identify and introduce qualified contacts from your sports industry network who could benefit from Applaudo's digital transformation services. • Provide warm introductions to key decision-makers (VP level and above) at sports franchises, leagues, venues, media rights holders, and sports tech companies. • Collaborate with Applaudo's sales team on target profiles and introduction strategy. • Participate in periodic check-ins and activation campaigns. • Share sports industry context and trends that help our team tailor their approach.

• Design, develop, and own features within the core enterprise integration layer, from technical design to deployment and monitoring. • Implement event-driven solutions using Azure Service Bus and Azure Functions, aligned with the broader integration architecture. • Collaborate closely with the Principal Architect, tech leads, and other developers to deliver consistent, scalable solutions across business verticals. • Take full ownership of assigned tasks, from planning through delivery, with minimal need for oversight. • Communicate clearly and proactively with both technical and non-technical stakeholders on progress, blockers, and technical decisions. • Champion code quality, testing, and CI/CD best practices; actively participate in code reviews. • Troubleshoot and resolve complex issues in a distributed, cloud-based environment using Application Insights or equivalent APM tooling.

• Design, build, and debug new product features end-to-end. • Develop and maintain RESTful APIs in Java 21 / Spring Boot. • Implement and maintain Redis-based caching strategies. • Build reactive Angular 19 components. • Write E2E and unit tests focused on critical business logic. • Work with AWS for storage, deployment, observability, and AI integrations. • Proactively communicate feature complexities or scope changes. • Actively participate in Agile ceremonies and client-facing meetings. • Partner with peer engineers to maintain code quality across the team.

• Design, develop, and maintain automated test suites for backend services. • Perform API, functional, integration, and regression testing. • Validate asynchronous messaging workflows and distributed system interactions. • Test applications and services hosted on AWS. • Collaborate closely with developers to embed quality throughout the software development lifecycle. • Identify, document, and track defects while assessing production risks and edge cases. • Participate actively in Agile ceremonies and continuous improvement initiatives. • Promote automation best practices and contribute to improving testing processes across the team.

• Design, develop, and maintain API automation using Playwright • Build and maintain mobile automation frameworks using WebDriverIO • Develop scalable automation solutions using JavaScript and TypeScript • Validate REST APIs, authentication flows, and token management processes • Integrate automated testing into CI/CD pipelines to improve software quality and delivery • Lead QA automation initiatives and promote automation best practices across engineering teams • Mentor QA engineers and contribute to the continuous improvement of automation frameworks and testing processes • Collaborate closely with developers, Product teams, and stakeholders to ensure high-quality software delivery