Jobs at Applaudo

Reviews third-party code and AI-assisted technical output, validates solutions against documentation, and applies architectural judgment across distributed systems, microservices, cloud, security, networking, and software quality. Develops technical and executive documentation, gathers requirements, coordinates cross-functional decisions without formal authority, and creates reusable standards and assets. The role requires autonomous work, strong technical writing, critical analysis, attention to detail, and full-time on-site presence.

Build and evaluate machine learning solutions for company and entity matching using embeddings, LLMs, NLP, classification, ranking, and similarity methods. Define benchmarks, metrics, baselines, test sets, and error-analysis processes; conduct experiments; assess model quality, scalability, and inference costs; and communicate findings and recommendations to engineering and business stakeholders. Work independently with large, messy, multilingual datasets and document experimental outcomes.

Design polished, responsive digital experiences for web, mobile, and kiosk platforms. Translate product requirements, user needs, and brand guidelines into high-fidelity interfaces, prototypes, design specifications, and development-ready assets. Apply design systems consistently, collaborate with product, UX, engineering, and stakeholders, participate in critiques, review implementations, and improve reusable components while ensuring usability, accessibility, and visual quality.

Own end-to-end product design initiatives from discovery through implementation and continuous improvement. Create user journeys, workflows, wireframes, prototypes, and high-fidelity designs across web, mobile, kiosk, and other digital experiences. Collaborate with product, engineering, research, and analytics teams; contribute to design systems; validate solutions through research and usability testing; communicate design rationale; and ensure implemented experiences meet usability and quality standards.

Designs, implements, and governs scalable, secure, reliable GCP infrastructure across development, QA, and production environments. Maintains Terraform configurations, infrastructure and network diagrams, CI/CD workflows, and cloud security practices. Advises engineering teams on architecture decisions, deployment strategies, DevOps practices, operational excellence, automation, scalability, stability, and performance. Requires regular on-site presence and advanced English proficiency.

Lead software and digital projects from initiation through delivery, managing plans, timelines, milestones, dependencies, risks, blockers, and cross-functional workstreams. Coordinate Engineering, QA, UX/UI, Product, Business, and other teams across Agile, Waterfall, and Hybrid environments. Communicate project status, decisions, risks, and recommendations to stakeholders, including Directors and C-level executives, while driving accountability, alignment, and measurable outcomes.

Designs and maintains UI and REST API automation suites for AI-native applications. Validates AI-powered workflows, autonomous agents, and AI-assisted user experiences while improving test coverage, quality standards, and testing processes. Collaborates with developers to identify risks early, promotes QA automation best practices, participates in Agile ceremonies, and helps adopt modern AI-assisted testing methodologies.

Performs data quality assurance across GCP, Big Data, backend, database, and ETL environments. Responsibilities include writing complex SQL validation queries, profiling high-volume datasets, testing data transformations, verifying analytics events, executing regression automation, and documenting and tracking defects. The role creates test plans and cases, investigates data-quality issues, and collaborates with technical teams to resolve defects and improve testing practices.

Analyze PeopleSoft HCM processes, identify automation opportunities, define requirements and implementation approaches, and create detailed technical documentation. Design and implement PeopleSoft configurations and custom solutions, support testing and troubleshooting, and present recommendations to technical and business stakeholders. The role requires strong PeopleSoft Payroll, Health & Welfare, Benefits, and PeopleTools expertise, along with consulting, documentation, and communication skills.

Design, build, test, deploy, and maintain scalable full-stack solutions across React.js web applications, React Native mobile apps, backend services, APIs, databases, cloud infrastructure, and third-party integrations. Partner with business stakeholders to translate ambiguous needs into products, make pragmatic architecture decisions, troubleshoot production systems, automate processes, and improve delivery using AI-powered development tools.

Design, develop, and maintain scalable Python backend services and RESTful APIs using AWS Lambda and MongoDB. Debug and optimize production systems, assess technical requirements, identify risks, and implement solutions independently. Collaborate with frontend engineers and cross-functional stakeholders, contribute to Vue.js development, participate in code reviews, and improve architecture and engineering practices.

As a Hospitality Industry Expert, you will connect Applaudo with potential clients in the hospitality sector, leveraging your extensive network for business introductions and guiding digital transformation efforts.

Design and lead a unified enterprise integration layer, scalable API ecosystems, and event-driven architectures across business domains and systems. Establish standards for API governance, security, observability, documentation, and lifecycle management. Lead architecture reviews, modernization, technical debt reduction, and domain discovery workshops while providing hands-on technical guidance. Partner with platform teams on CI/CD and developer experience, promote AI-assisted engineering, and mentor architects and technical leads.

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.

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.

Build and maintain production-grade LLM and agentic AI applications, including MCP servers, tool calling, context management, intent classification, routing, and multi-API orchestration. Integrate Anthropic and OpenAI models, optimize prompts, cost, latency, and fallback strategies, and develop evaluation frameworks for model quality and monitoring. Write SQL for evaluation workflows, support chat and MCP backends, and contribute to AI platform architecture and continuous experimentation.

Perform functional, regression, integration, system, UAT, API, and automated testing for web applications. Build and maintain test plans, cases, regression suites, and automation scripts using frameworks such as Playwright, Cypress, or Selenium. Document, reproduce, triage, and validate defects; verify bug fixes; support beta releases; maintain testing documentation; and collaborate with developers, Product teams, and stakeholders in Agile environments.

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.

Lead end-to-end technical recruiting for software, data, cloud, and QA roles: develop long-term sourcing strategies, partner with hiring managers, design interview and assessment processes, coordinate interviews, mentor junior recruiters, and improve recruitment tools and operations to deliver timely, market-aligned hires and excellent candidate experience.

Design, govern, and evolve enterprise data architectures and ecosystems. Develop data models (star/snowflake), oversee metadata and governance, recommend cloud data platforms, provide architectural guidance, and collaborate with stakeholders to enable analytics, AI, and secure scalable data solutions.