Jobs at Applaudo

Design, develop, and maintain API and mobile automation frameworks using Playwright and WebDriverIO. Build scalable JavaScript/TypeScript automation, validate REST APIs and authentication flows, integrate tests into CI/CD, lead automation initiatives, mentor QA engineers, and collaborate with product and development teams to ensure high-quality releases.

Design and execute automated API and UI test strategies for AI-native applications, validate AI workflows and agents, build and maintain automation suites, collaborate with developers to identify risks early, and promote QA automation best practices and AI-assisted testing methodologies in Agile teams.

Lead design, build, and maintain event-driven, cloud-native backend services on Azure. Implement Azure Service Bus and Functions, develop scalable RESTful APIs, ensure observability with Application Insights/APM, participate in architecture/design, own features end-to-end, drive code quality, testing, and CI/CD, and communicate with US-based stakeholders.

Analyze technical enablement and support data to measure product adoption, build dashboards and executive reports, identify adoption gaps, and recommend improvements to training and documentation.

Monitor and stabilize software releases by analyzing production logs, tickets, and metrics to identify issues and adoption risks. Validate feature behavior, document findings, provide actionable recommendations, collaborate with Dev and QA to resolve incidents, track corrective action effectiveness, and support operational metrics and escalation of critical problems.

Lead end-to-end UX/UI design for enterprise applications: conduct user research, create information architecture, flows, wireframes, high-fidelity interfaces and interactive prototypes, define scalable design systems, collaborate with Product and Engineering, deliver engineering handoffs, and iterate based on user feedback and testing.

Design, develop, and maintain scalable Node.js backend services and RESTful APIs. Implement asynchronous messaging workflows (RabbitMQ/Kafka/SQS), deploy and monitor applications on AWS, troubleshoot production issues, participate in architecture and code reviews, and collaborate in Agile teams to improve backend reliability and performance.

Lead design and implementation of a unified enterprise integration layer and API ecosystem on Azure. Define architecture standards, drive event-driven and message-based solutions, enable observability and security, promote AI-assisted engineering, mentor technical teams, and spearhead modernization and integration across internal and external systems.

Design, build, and maintain scalable backend services (Python, AWS Lambda) and RESTful APIs. Debug and support production systems, follow architectural standards, collaborate with frontend engineers (Vue.js/TypeScript), participate in code reviews, and identify technical improvements while working independently within established architectures.

Design, provision, and manage Microsoft Azure infrastructure; build and maintain Terraform modules and CI/CD pipelines (Azure DevOps, GitHub Actions); manage AKS, Azure Functions, and Azure-native services; apply Azure security and governance; troubleshoot deployments; monitor and optimize cloud services; collaborate with development and infrastructure teams to improve deployment reliability and operations.

Lead AI product vision, strategy, and roadmap; prioritize initiatives, manage backlog, translate requirements into user stories, and drive adoption of LLMs, RAG, semantic search, and enterprise knowledge solutions while ensuring Responsible AI and governance.

Design and document cloud-native Node.js architectures on Azure, define backend/frontend patterns, integrations, and ADRs; guide development, DevOps, and data teams; present and defend technical roadmaps to stakeholders and executives.

Facilitate and coach multiple software teams to deliver value using Agile and scaled frameworks (SAFe). Lead ceremonies and PI events, manage dependencies and risks, track delivery metrics, remove impediments, promote AI tools adoption, and align Product, Engineering, and leadership to improve predictability and continuous improvement.

Design, build, and maintain scalable data architectures and ETL pipelines (Medallion Architecture) using Snowflake, dbt, Dagster, AWS S3, and Postgres/Supabase. Support graph models, entity matching, and AI-focused data workflows, collaborating with AI and data science teams while promoting engineering best practices in an Agile environment.

Design, build, and optimize ETL/ELT pipelines and data migrations. Transform, cleanse, and standardize data across platforms, ensure data quality and integrity, support scalable data models and analytics/AI integrations, and collaborate with teams to improve reliability and operational efficiency.

Support budgeting, forecasting, and financial reporting by maintaining financial models, preparing monthly and executive reports, managing invoicing and vendor payments, monitoring collections and profitability, and collaborating with Accounting to ensure accurate revenue recognition and reconciliations.

Perform functional and regression testing for WordPress/WooCommerce applications, validate end-to-end and QR-based workflows, test RBAC and security-sensitive changes, design and maintain test cases, identify and track defects, and collaborate with developers and stakeholders to support platform modernization and compliance efforts.

Drive early-stage pipeline through high-volume digital outreach, inbound engagement, and structured qualification. Conduct discovery calls, validate technical fit, maintain HubSpot CRM hygiene, support proposals, collaborate with Solutions Architecture and Sales Operations, and ensure smooth handoffs to Account Executives while improving sales processes and reporting.

Design and implement AI-powered testing agents and LLM-driven workflows to generate, execute, and validate automated test scenarios. Develop and maintain API automation with Playwright and mobile frameworks using WebDriverIO. Integrate AI-driven tests into CI/CD, document execution evidence, refine prompts and outputs, and collaborate with engineering teams to improve testing strategies and tooling.

Lead AI product discovery, translate business needs into AI product specs, design and prototype AI Agents using Google ADK and LLMs, deploy and validate with Vertex AI Agent Engine, run iterative feedback cycles, design human-in-the-loop governance, create documentation, and drive stakeholder alignment and adoption.