Minor Hotels Europe and Americas

QA Automation Engineer

• Lead automation design development and maintenance activities across multiple insurance applications
• Build enhance and maintain automation frameworks for UI API mobile and integration testing
• Review automation scripts enforce coding standards and ensure optimal reusability and maintainability
• Partner closely with developers business analysts test managers and product owners to achieve complete test coverage
• Plan and estimate automation efforts monitor progress and report status and coverage metrics
• Integrate automation suites with CICD pipelines and enable continuous execution in Agile delivery models
• Troubleshoot automation failures analyze root causes and implement corrective measures
• Mentor junior automation engineers and contribute to capability building initiatives
• Ensure compliance with organizational quality practices security considerations and audit requirements
• Promote automation first mindset and drive continuous improvement within testing processes

Testing Automation Engineer

Call Center Representative

• Define end to end Dynamics 365 Contact Center architecture across voice, digital channels, case management, knowledge, WFM, and analytics
• Design Copilot-first service experiences including virtual agents, agent assist, case summarization, and supervisor insights
• Own architecture decisions for omnichannel routing, IVR bots, CTI/telephony, and Teams Phone integration
• Establish scalable, secure, and compliant architectures suitable for regulated Financial Services environments
• Architect self-service virtual agents, conversational IVR, and agent-assisted service experiences
• Design agent desktop experiences using Dynamics 365 Power Apps and embedded Copilot
• Enable supervisor capabilities including monitoring, whisper/barge-in, forecasting, scheduling, and performance insights
• Drive KPI alignment to AHT, FCR, CSAT/NPS, containment, and cost-to-serve
• Define integration patterns using Azure Functions, Logic Apps, Service Bus, APIs, and Dataverse
• Lead data migration, customer 360 design, and event-driven architectures
• Ensure seamless coexistence with existing CRMs or legacy CCaaS platforms

Contact Center Architect

Designer

• Design visually impactful deliverables: presentations, motion graphics, short-form videos, and social content
• Transform pursuit and GTM narratives into clear, differentiated visual stories
• Collaborate with sales and pursuit teams to shape messaging and creative concepts
• Develop custom campaign assets: infographics, buyer journeys, micro-case studies, explainer videos, and branded materials
• Enhance templates, iconography, and visual standards while maintaining brand integrity
• Support GTM initiatives (events, webinars, campaigns) through creative asset development
• Manage edits, version control, and stakeholder feedback
• Explore GenAI tools to accelerate and diversify content creation

Creative & Design Project Specialist

Artificial Intelligence

• Lead end-to-end Quality Engineering delivery across multiple enterprise programs, ensuring predictable outcomes, high quality, and on-time releases.
• Drive AI-enabled quality engineering initiatives, including intelligent test automation, test optimization, analytics-driven quality insights, and continuous improvement.
• Manage large, distributed QE teams (30–50 members), with effective onshore–offshore coordination, capacity planning, and delivery governance.
• Establish and lead quality transformation and QE CoE initiatives, embedding automation-first and AI-assisted testing practices across the organization.
• Define and implement QE strategy, test planning, and execution frameworks aligned with Agile, DevOps, and CI/CD delivery models.
• Partner with product, engineering, and business leaders, and engage with CxO-level stakeholders for quality reporting, release readiness, and strategic updates.
• Promote innovation, operational excellence, and strategic thinking across the Quality Engineering organization while managing delivery risks and dependencies.

QE Delivery Manager – AI & Intelligent Automation

Frontend Engineer

• Looking for a Senior React developer with skills and experience in multiple technologies.
• Collaborate with teams to build web applications based on ADA standards and SEO best practices.
• Create reusable components for enterprise use.

React Developer

Cloud Engineer

• Embark on a transformative journey as an Azure Cloud Architect.
• Redefine the future of banking and help craft innovative solutions.
• Join a team that is shaping the future of AI, where your innovations in Generative AI and Machine Learning will directly influence how we scale intelligent automation and deliver exceptional client experiences.
• Build cutting edge AI products that power strategic decision making and improve operational efficiency across the bank.
• Own high visibility initiatives, and see your work drive real impact across a global organization.

Azure Cloud Architect

Backend Engineer

• Lead the end-to-end technical delivery of Java-based applications, APIs, and backend services
• Manage and mentor onshore and offshore development teams, ensuring delivery quality and adherence to standards
• Act as the primary technical point of contact for customer and stakeholder discussions related to requirements and solution implementation
• Interpret business and technical requirements and guide teams in implementing solutions aligned with approved designs and enterprise standards
• Provide hands-on technical leadership through code reviews, design guidance, and support for complex issues
• Support production stability, including troubleshooting, root cause analysis, and resolution of critical incidents
• Collaborate with enterprise architects, QA, DevOps, and other cross-functional teams
• Drive continuous improvement initiatives related to code quality, automation, performance, and delivery efficiency
• Participate in estimation, planning, and Agile ceremonies

Java Engineering Lead / Solution Lead

Director

• Oversee and ensure high‑quality delivery of FCC, risk, and governance advisory projects.
• Manage, mentor, and develop junior staff.
• Lead proposal development, client pitches, and support business growth.
• Lead multi-disciplinary teams on large, complex FCC engagements.
• Provide advisory input on AML, sanctions, fraud, and regulatory transformation initiatives.
• Build trusted client relationships and manage key accounts.
• Assess internal control environments, identify risks, and recommend process improvements.
• Provide practical, actionable advice on evolving financial regulations.

FCC Director

Solutions Engineer

• Design end‑to‑end technical solutions (IIoT, MES, AI/ML, Edge) that integrate OT (Operational Technology) and IT systems
• Identify new business opportunities within automotive and aerospace accounts, support revenue growth, and contribute to RFI/RFP responses
• Collaborate with internal sales and delivery teams to craft tailored value propositions
• Guide on‑site implementation teams, ensuring adherence to architectural standards, data security requirements, and best practices throughout the delivery lifecycle
• Stay informed on industry trends—Industry 4.0, digital twins, AI, and emerging technologies—to propose, test, and integrate new capabilities that enhance client outcomes and internal solution frameworks.

Digital Manufacturing Solution Architect

Android Engineer

• Collaborate with architecture, security, COEs, and UXD to build architecturally compliant apps
• Partner with platform team to define mobile engineering standards, best practices, and tooling
• Provide mobile thought leadership to advance mobile outcomes and facilitate a mobile-first mindset
• Implement payment flow using Stripe Android SDK utilizing payment sheet
• Drive end-to-end integration of Google Wallet API and Android SDK
• P2P banking integration Zelle
• Insurance domain knowledge is a plus

Android Developer

SDET

• Lead a team of 4-6 Automation testers
• Create automated testing scripts throughout the build
• Create a regression test suite for Regression Testing
• Conduct post-release/post-implementation testing
• Work closely with Dev teams and BA to resolve technical/business issues
• Quickly become SME on the assigned area
• Collaborate directly with end clients and QA team

Lead Test Engineer

• Develop financial and risk models using Python/R for regulatory stress testing and enterprise risk management
• Build model execution workflows for forecasting Balance Sheet, Fee Revenues, Macroeconomic Indicators, Expenses, and related risk metrics
• Apply machine learning, statistical modeling, and data mining techniques to enhance model accuracy
• Conduct sensitivity analysis, scenario analysis, and stress testing impact attribution
• Collaborate with stakeholders to define project plans, deliverables, and development timelines
• Coordinate with business, analytics, and technology teams to ensure successful model integration
• Support coding, testing, deployment, and documentation of financial and ML models
• Develop tools and automated processes to monitor model performance and stability
• Conduct statistical validation tests such as regression diagnostics, time-series checks, hypothesis testing, and performance back-testing
• Document methodologies, assumptions, and validation findings for audit and regulatory purposes
• Create insights and analytical presentations using Python, JupyterHub, and visualization techniques
• Prepare decks and reports for senior management and risk committees
• Communicate model logic, results, and performance metrics in clear and concise formats

Machine Learning Model Developer, Python/R

QA Engineer

• Design develop and maintain robust test automation frameworks using Playwright and Selenium with Java following best practices
• Implement and maintain BDD Hybrid frameworks using Cucumber or equivalent tools for scalable automation
• Develop automated test scripts for UI API and fullstack services ensuring high test coverage and reliability
• Perform API automation testing using tools such as Rest Assured and SOAP UI
• Participate actively in Agile Scrum ceremonies collaborating closely with developers product owners and stakeholders
• Analyze requirements contribute to test strategy and ensure testability from early stages of development
• Prepare and maintain test plans test cases test data and test execution reports
• Execute manual and automated test cycles and ensure effective defect tracking and management
• Integrate automation suites into CICD pipelines using Jenkins and Gradle
• Leverage tools such as GitHub Splunk and STS for version control debugging monitoring and analysis
• Provide technical guidance and mentorship to team members and contribute to continuous improvement initiatives
• Represent the QA team in technical discussions and cross functional forums

Automation Tester

Business Analyst

• Analyze and document product lifecycle management processes to identify areas for enhancement.
• Translate business needs into comprehensive functional and non‑functional requirements for PLM solutions.
• Design effective PLM workflows and system configurations aligned with operational and strategic needs.
• Develop user experience designs that improve system usability and maximize end‑user adoption.
• Contribute to the development of scalable data models that support accurate and consistent PLM implementations.
• Plan, execute, and document testing activities to ensure PLM system reliability and performance.
• Configure PLM systems and support integrations with other enterprise applications to enable seamless end‑to‑end processes.

PLM Business Analyst

Data Scientist

• Develop and implement a set of techniques or analytics applications to transform raw data into meaningful information using data-oriented programming languages and visualization software
• Apply data mining, data modeling, natural language processing, and machine learning to extract and analyze information from large structured and unstructured datasets
• Visualize, interpret, and report data findings
• May create dynamic data reports
• Collaborate with cross-functional teams to align AI projects with business requirements and strategic goals
• Ensure scalability, performance, and optimization of deployed AI models and pipelines.