Lead, AI & Data Products (Technical)

Regional Manager of Security Operations

Consulting Engineer - Service Provider 

Channel Sales Manager

Glamping Manager Operations

Front End Central Product Integration (FE CPIE) MTS (FE)

AVP/VP, Software Engineer, Technology Group

VP, Senior Data Engineering Manager

Assistant Vice President - Principal Engineer

AVP, Principal Software Engineer (Senior Technical lead)

Role Description: <ul><li>The organization is investing in a small number of high-impact AI and data products intended to operate across its global station network. </li><li>Each requires a single accountable owner who can hold the technical architecture and the product direction together, from first implementation through multi-station scale.</li><li>We are looking for a Lead, AI &amp; Data Products to take that ownership.&nbsp;</li><li>This is a senior individual contributor role for an engineer or applied scientist who has moved into product leadership, not a product manager with adjacent technical exposure.</li><li>You will be expected to reason about model design, data architecture and production trade-offs at the level of the engineers building the system, and to hold the roadmap, business case and stakeholder relationships at the level of the executives funding it.&nbsp;</li><li>The role operates horizontally.</li><li>You will act as the single-threaded owner for assigned initiatives, working with the AI Centre of Excellence on patterns and feasibility, with Data Engineering and Platform on the data foundation, with Operational Excellence and the business product owners on process change, and with the forward deployed engineers in region on station rollout.</li></ul> This is a hands-on role. <ul><li>You will review and contribute to code, make architectural calls, and spend meaningful time at the frontline understanding operations directly rather than through documentation.</li></ul> Responsibilities: Technical product ownership <ul><li>Own the product end to end for assigned AI and data initiatives: discovery, technical architecture, roadmap, delivery sequencing and global rollout readiness.</li><li>Act as single-threaded owner. One person accountable for whether the product works, is adopted, and delivers its business case across stations and regions.</li><li>Convert programs into products.&nbsp;</li><li>Move initiatives currently run as projects onto a product footing with a roadmap, a lifecycle, named users and a benefit measure.</li><li>Make the build decisions: in-house, CoE pattern, capability center, or vendor. Own the trade-off and the consequences.</li></ul> Technical depth <ul><li>Set the architecture for AI and data products spanning forecasting, optimization, simulation, GenAI and agentic workflows, and defend it in technical review.</li><li>Work in the codebase. Review designs and pull requests, prototype where it resolves ambiguity faster than discussion, and contribute directly when delivery depends on it.</li><li>Own production quality: model robustness, explainability, evaluation, monitoring, latency and cost in service, not only at launch.</li><li>Build on the platform. Consume governed data through the semantic layer and apply CoE guardrails rather than constructing parallel capability.</li></ul> Business and delivery leadership <ul><li>Translate operational problems into technical solutions and, equally, translate technical constraints into terms operations and commercial leadership can act on.</li><li>Own the business case with the business product owner: the benefit hypothesis, the measurement approach and the reported outcome.</li><li>Lead without direct authority across engineering, data science, operations and regional teams, including delivery through the capability center and vendor partners.</li><li>Work from the frontline.</li><li>Regular Gemba at stations, with operational understanding built firsthand.</li></ul> Requirements: <ul><li>10+ years in engineering, applied AI or data science, with a substantial portion spent building and running systems in production rather than specifying them.</li><li>Demonstrable record of owning technical products end to end and scaling them beyond a first implementation into multi site or multi-market operation.</li><li>Depth in one or more of: forecasting (time series, probabilistic, hierarchical), optimization (MIP, LP, heuristics), simulation, or production GenAI and agentic systems, with working literacy across the others.</li><li>Strong Python and SQL, with practical command of the modern data and ML stack: cloud data platforms, pipelines, model deployment, evaluation and monitoring.</li><li>Experience influencing senior stakeholders and operating across engineering, operations and commercial functions without direct reporting lines.</li><li>Aviation, logistics or complex physical operations exposure is an advantage, not a prerequisite.</li></ul> Qualifications <ul><li>Bachelors, MSc or PhD in Computer Science, Engineering, Data Science, Mathematics, Operations Research or a related field. Personal characteristics</li><li>Technical credibility earned through building, not through managing builders.</li><li>Judgement on trade-offs between scope, speed and quality, with the confidence to decide under incomplete information.</li><li>Clear communication with engineers, operators and executives, adjusting register without losing precision.</li><li>Comfort with ambiguity and being accountable for outcomes rather than activity.</li></ul>

Role Description: <ul><li>As a Regional Team Lead of Incident Response &amp; Security Operations, you will be a key member of our collaborative security team, working alongside other security professionals to protect our organization from sophisticated cyberattacks. In this "player-coach" role, you will act as the senior technical expert and operational guide for your region’s Security Operations Center (SOC) analysts.</li><li>You will be a hands-on practitioner, working alongside your team to hunt for threats, analyze alerts, and lead the technical response to security incidents.</li><li>The ideal candidate has a strong background in hands-on security analysis, a talent for mentoring others, and the composure to lead technical investigations under pressure. You will be the primary escalation point for the SOC, ensuring the teams work is effective, efficient, and continuously improving our ability to defend the organization.</li></ul> Responsibilities: Your main tasks: <ul><li>Incident Response: Assist with all major security incidents, coordinating global and regional efforts during security incidents and investigations.</li><li>Security Operations: Oversee regional operations of the Security Operations Center (SOC), ensuring timely and effective analysis of security alerts.</li><li>Identify areas of improvement through automation and new processes. Improve the development and tuning of detection rules, analytics, and correlation logic to improve alert fidelity. Lead threat response and proactive vulnerability/threat notifications.</li><li>Strategic Leadership: Contribute to the comprehensive enterprise information security strategy, roadmap, and architecture in alignment with business objectives.</li><li>Work with management to drive program and projects amongst your team.&nbsp;</li><li>Team Management &amp; Development: Lead, mentor, and manage a high-performing team of security analysts, fostering a culture of technical excellence, innovation, and continuous learning. Manage team schedules, conduct performance reviews, and guide career development for team members.</li><li>Documentation &amp; Knowledge Sharing: Develop and maintain comprehensive documentation, including system architecture diagrams, data flow diagrams, log source configurations, alert rationale, and incident response procedures. Mentor and provide technical guidance to junior security analysts.</li><li>Collaboration &amp; Communication: Effectively communicate technical concepts to both technical and non-technical audiences. Interface with other IT teams (network, systems, application development, etc.) to ensure security is integrated throughout the infrastructure.</li><li>Strategic Planning &amp; Budgeting: Collaborate with leadership on strategic planning, budget forecasting, and resource allocation.</li></ul> Requirements: Required Qualifications: <ul><li>Bachelors degree in Computer Science, Information Security, or a related field, or equivalent practical experience.</li><li>Minimum of 5-7 years of experience in information security, with a strong focus on security.</li><li>Significant experience with at least one enterprise-grade SIEM platform (e.g., Devo, Splunk, QRadar, Sentinel, ArcSight).</li><li>Experience with scripting languages (e.g., Python, PowerShell, Regular Expressions) for automation and data manipulation.</li><li>Familiarity with various operating systems (Windows, Linux, macOS) and cloud platforms (AWS, Azure, GCP).</li><li>Knowledge of common security frameworks and standards (e.g., NIST, MITRE ATT&amp;CK, CIS).</li></ul> Preferred Qualifications: <ul><li>Experience with Devo, Devo SOAR, and/or LogicHub</li><li>Advanced programming/coding in one or more languages (C#, Python, etc).</li><li>Understanding of security concepts, including network security, endpoint security, intrusion detection/prevention systems (IDS/IPS), firewalls, and vulnerability management.</li><li>Manufacturing and/or engineering industry experience.</li><li>Experience working in a large global organization.</li></ul>

Responsibilities: <ul><li>Lead and drive end-to-end technology design, implementation, and optimization for major mobile wireless accounts to accelerate critical customer business outcomes.&nbsp;</li><li>Partner closely with company account teams and cross-functional engineering groups to build high-performance mobile packet core architectures.&nbsp;</li><li>Author and review comprehensive project collateral, including High-Level Designs (HLD) and Low-Level Designs (LLD), to translate sophisticated customer requirements into detailed execution plans.&nbsp;</li><li>Build high-fidelity simulations in dedicated test labs to proactively validate new solutions and quickly resolve sophisticated network compatibility issues.&nbsp;</li><li>Implement cutting-edge delivery methodologies and share lessons learned to continuously elevate the technical capabilities and efficiency of the broader team.</li></ul> Requirements: <ul><li>Experience: 8+ years of relevant experience in technical lifecycle services, including the planning, design, implementation, and optimization of Mobile Wireless Solutions.</li><li>Core Technology: Proficient technical knowledge of 4G/5G mobile packet core architectures and nodes (such as S-GW, P-GW, MME, GGSN, ePDG, or 5G Core functions like SMF/UPF/AMF).</li><li>Standards &amp; Flows: Solid understanding of 3GPP standards, 4G/5G mobile architectures, and associated end-to-end protocol call flows.</li><li>Cloud &amp; Virtualization: Practical, hands-on experience working with cloud and virtualization technologies, specifically Dockers, Kubernetes, OpenStack, AWS, or VIM.</li><li>Documentation &amp; Design: Consistent record of creating technical engineering documentation, including High-Level Designs (HLDs), Low-Level Designs (LLDs), and Method of Procedure (MOP) plans.</li></ul>

Responsibilities: <ul><li>Develop and execute channel sales plans aligned with business objectives.</li><li>Build and maintain strong relationships with distributors and channel partners.</li><li>Establish joint business plans, performance targets, and growth initiatives with assigned partners.</li><li>Drive demand creation across data center, AI infrastructure, cloud, networking, telecom, and edge applications.</li><li>Identify new customers, applications, and competitive-conversion opportunities.</li><li>Build and manage a qualified opportunity pipeline from identification through design-in, design-win, and revenue conversion.</li><li>Conduct regular business reviews covering sales, pipeline, inventory, training, and program execution.</li><li>Support product launches, customer events, technical workshops, and partner training.</li><li>Gather market, customer, channel, and competitive insights to support business decisions.</li><li>Coordinate cross-functional resources to resolve commercial, technical, supply, and customer issues.</li><li>Maintain accurate opportunity, forecast, and customer information in applicable business systems.</li><li>Ensure channel activities comply with company policies and commercial requirements.</li></ul> Requirements: <ul><li>Bachelor’s degree in engineering, business, marketing, or a related field.</li><li>Relevant experience in channel sales, distribution sales, account management, or business development.</li><li>Experience managing distributors, resellers, or other channel partners.</li><li>Demonstrated ability to develop sales plans and deliver measurable business growth.</li><li>Strong commercial, negotiation, analytical, and relationship-management skills.</li><li>Experience with CRM, pipeline management, forecasting, and business reporting.</li><li>Strong written and verbal communication skills.</li><li>Ability to collaborate effectively in a global, matrixed organization.</li><li>Willingness to travel according to business requirements.</li></ul>

﻿Responsibilities: <ul><li>Resort Operations – Oversee daily resort operations and ensure smooth and efficient service delivery.</li><li>Guest Experience – Maintain high guest satisfaction and promptly address guest concerns and service recovery.</li><li>Front Office &amp; Guest Services – Oversee reservations, check-in/out, guest relations, room allocation, billing, and buggy/guest transportation services.</li><li>Team Management – Lead, coach, and develop operational teams while ensuring appropriate staffing and performance.</li><li>Operational Readiness – Ensure villas, facilities, activities, and guest areas are fully prepared and maintained to operational standards.</li><li>SOP &amp; Compliance – Ensure all operations follow company SOPs, safety requirements, and applicable regulatory standards.</li><li>Cross-Department Coordination – Work closely with Housekeeping, Engineering/FM, F&amp;B, Entertainment, Security, HR, Finance, and Revenue teams.</li><li>Cost &amp; Resource Management – Monitor operational costs, manpower, resources, and productivity to support budget and business objectives.</li><li>Revenue Support – Coordinate with Revenue and Sales &amp; Marketing teams to support occupancy, room revenue, promotions, and commercial opportunities.</li><li>Continuous Improvement – Identify operational gaps and implement improvements to enhance efficiency, service quality, and the overall guest experience.</li></ul> Requirements: <ul><li>Bachelor’s degree or Diploma in Hospitality Management or related field</li><li>Minimum 2 years of experience in Room division&nbsp;</li><li>Proficiency in Opera PMS, cloud, SynXis, and Channel Manager systems is an advantage.</li><li>Strong analytical, organizational, and reporting skills.</li><li>Excellent communication skills in English; additional languages are a plus.</li><li>Ability to multitask, prioritize, and work under</li><li>pressure in a fast-paced environment.</li><li>Strong customer service orientation.</li><li>Proactive, detail-oriented, and results-driven.</li><li>Ability to work independently as well as collaboratively in a team.</li><li>Flexible and adaptable to changing operational needs.</li><li>High level of integrity and professionalism</li></ul>

Responsibilities: <ul><li>Lead process integration (PI) structural uniformity and cross loop integration for critical modules (e.g., capacitance loop), owning end to end integration strategies to resolve yield, quality, and reliability gaps. </li><li>Drive physics&nbsp;and process based integration solutions through close collaboration with cross module process owners, PI subject matter experts, and key suppliers to optimise integration structures and achieve BIC yield and quality targets.</li><li>Develop and apply model based root cause analysis frameworks (transport, reaction kinetics, pattern density, and geometry dependent effects) to diagnose structural non uniformity. Define, implement, and continuously strengthen critical inline monitoring and defence lines (CD, film loss, mass delta, defectivity, edge/periphery metrics) to ensure robust control of structural uniformity.</li><li>Own and advance product integration programs and loop level domain expertise, maintaining deep technical knowledge across node transitions. </li><li>Proactively drive node over node “shift left” integration, including early implementation of uniformity, bevel, and backside best known methods (BKMs) during development phases to accelerate whole wafer (centre-to-edge) yield and quality ramp.</li><li>Drive worldwide technical alignment and execution excellence by leading global projects, standardizing and leveraging network BKMs, and scaling proven solutions across sites. Identify efficiency and performance gaps, and lead business process creation, optimization, and re engineering to improve benchmark performance, cycle time, and development productivity.</li><li>Integrates AI-assisted tools and insights into daily work to improve efficiency, quality, or effectiveness, exercising sound judgment and complying with organizational standards and legal requirements.</li></ul> Requirements: <ul><li>Bachelors/Masters/PhD. in EE, Materials Engineering, Materials Science, Physics and Chemical but optional if candidates have more than 10 years experience in process related role in the semiconductor industry.</li><li>With more than 7 years of relevant industry experience/knowledges.</li><li>Good logical thinking and knowledge in Semiconductor Fabrication process flows, interaction of different processes and how changes affect yield, device performance and reliability. Understanding of DRAM and NAND operation and structure to decipher parametric, probe and qual data from both front-end and backend assembly processes.</li><li>Good model-based problem solving, together with data-driven decision making, and presentation skills. Proven ability to troubleshoot and solve structure and device-related issues, and address root cause.</li><li>Good organizational capabilities and ability to work effectively. Ability to be flexible with job responsibilities and take the initiative to assume added responsibilities. Travel to company sites as necessary for face-to-face collaboration.</li><li>Strong interpersonal skills and customer/co-worker relationships. Successfully demonstrated teamwork skills with a strong focus on developing good team dynamics.</li><li>Good multi-tasking, verbal and written communication skills.</li><li>Ability to apply baseline digital fluency and role appropriate AI literacy to use AI enabled tools responsibly and effectively for research, analysis, content creation, problem solving, operational tasks, and achieving business outcomes</li></ul>

Responsibilities: <ul><li>Collaborate and Innovate: Partner with portfolio managers, business managers, and product owners to tackle complex challenges and transform them into purposeful software solutions that drive our success</li><li>Design and Develop: Craft advanced algorithms and applications that significantly improve operational efficiency, enhance decision-making, and propel strategic initiatives forward</li><li>Leverage Emerging Technologies: Harness the power of machine learning and artificial intelligence to create innovative solutions that give us a competitive edge in the industry</li><li>Champion Excellence: Lead peer code reviews and share your technical expertise to cultivate a culture of continuous improvement and excellence</li><li>Ensure Quality: Execute rigorous System Integration Tests and work closely with business users on User Acceptance Tests to guarantee top-tier deliverables</li><li>Document and Guide: Develop comprehensive documentation and user guides to ensure seamless adoption and utilisation of new systems</li><li>Stay Ahead: Continuously explore and integrate emerging technologies to keep our solutions at the forefront of innovation&nbsp;</li></ul> Requirements: <ul><li>At least 5 years of relevant experience in software development, and hands-on experience in solution designing, software testing, and production support</li><li>Proficiency in Agile software development methodologies and practices such as Scrum, Kanban, or Test-Driven Development</li><li>Hands-on technical skills and good competency in Java and related frameworks such as Spring or Hibernate</li><li>Strong experience with Java / C# Dot Net / Typescript / Python</li><li>Preferred experience in relevant domains, including but not limited to the financial sector, such as SaaS integrations, enabling a deep understanding of industry-specific challenges and solutions</li><li>Familiarity with cloud platforms like AWS or Azure and containerisation technologies like Docker and Kubernetes</li><li>Strong team player who is keen to learn, independent, and possesses strong analytical, problem-solving, communication, and interpersonal skills</li><li>Passionate about understanding business requirements and using technology to transform or improve current state</li><li>Familiar with and interested in learning about current and emerging technology landscapes</li><li>Bachelor’s or equivalent degree in Science, Technology, Engineering, and Mathematics (STEM) related discipline is advantageous</li><li>Ability to adapt to a dynamic environment and demonstrate strong prioritisation skills</li><li>Experience leading engineering teams and/or mentoring junior software engineers is advantageous, especially for VP candidates&nbsp;</li></ul>

Responsibilities: <ul><li>Provide vision, leadership, and strategic direction for data engineers to deliver modern, high-quality data pipelines, models, and products, while fostering</li><li>innovation and new approaches to solving enterprise technical challenges.</li><li>Lead cloud data transformation and migration initiatives, helping define target-state cloud data engineering standards while ensuring solutions are resilient, scalable, high-performing, cost-optimized, and secure.</li><li>Drive data engineering excellence through AI adoption, automation, reusable frameworks, pipeline standardization, testing automation, and continuous</li><li>improvement to reduce complexity, increase consistency, and accelerate delivery.</li><li>Establish and advance best practices for data ingestion, transformation, standardization, productization, data quality, metadata management, lineage,</li><li>observability, orchestration, automated deployment, data protection, and secure data consumption.</li><li>Oversee the development of best-in-class data models and testing practices that are aligned to business objectives and enable trusted, consistent, secure, and easily usable data across the enterprise.</li><li>Partner with company leaders, the Data Office, Supervisory Affairs, Risk &amp; Compliance, other process owners, and other Technology and Business</li><li>stakeholders to ensure strategic data solutions sufficiently mitigate risk, strengthen controls, and respond to regulatory expectations.</li><li>Champion agile delivery with the Office of Agile and cross-functional teams using SAFe methods, managing execution across multiple priorities, projects, and release trains while proactively addressing dependencies, risks, and issues.</li><li>Develop, coach, and retain a high-performing team through skill development, career growth, inclusive leadership, succession planning, and ongoing focus on</li><li>team effectiveness.</li><li>Perform other duties and/or special projects as assigned.</li></ul> Requirements: <ul><li>Bachelors Degree and a minimum of 12 years of IT experience, OR in lieu of a Degree minimum of 14 years of experience in an IT environment</li><li>Minimum of 5 years of data engineering experience leveraging public cloud capabilities.</li><li>Minimum of 7 years of experience in a large complex organization</li><li>Minimum of 9 years of Demonstrated experience leading data engineering delivery for enterprise-scale data platforms, pipelines, data models, or analytic products.</li><li>Ability to communicate complex technical concepts clearly to business, technology, risk, and executive stakeholders</li></ul>

Responsibilities: <ul><li>Lead the design and architect solutions that meet SYF business requirements to deliver business value by enabling rapid innovation through modern software development practices and product delivery through rapid innovation and continuous integration. In-depth knowledge of credit application and web application platforms.</li><li>Perform Technology Alternate Assessment, create Proof-of-Concept (as necessary) Provides guidance and direction to product teams to ensure compliance with the standards and best practices Work collaboratively with Product Management and Platform Engineering teams during development, launch and continuing refinement of products iteratively</li><li>Lead Agile sprints as the technical expert, including sprint planning, daily standups, backlog grooming sessions, and sprint reviews Influence and collaborate with software developers, UX designers, product managers, application architects, and customer application experts to create high performing and reliable application components.</li><li>Work with third party vendors to develop software and/or integrate their software into the companys products</li><li>Drive a CI/CD strategy using our Jenkins, Bitbucket, and uDeploy stack.</li><li>Maintain deep hands-on technical knowledge of evaluating trends in modern software development practices.</li></ul> Requirements: <ul><li>Bachelor’s degree and a minimum 7 years of experience with software engineering OR, in lieu of degree 9 years of experience with software engineering.</li><li>5+ years of applied Java experience</li><li>5+ years of hands-on experience in Credit Card Acquisition platform with ample knowledge in credit card application processing and decisioning systems.</li><li>Experience in Front End UI (JavaScript/Typescript) development and Backend Java programming.</li><li>Critical Thinking, creativity and problem-solving skills.</li><li>Strong analytical and problem-solving skills.</li><li>Excellence in technical communication with technical and non-technical peers.</li><li>Basic understanding of Artificial Intelligence.</li></ul>

Responsibilities: <ul><li>Lead the development effort for cloud-native applications across the Caching Solutions and Rewards System teams, ensuring timely execution against committed business outcomes.</li><li>Drive business commitments by aligning scope, sequencing, and technical approach with Product Management, and ensuring delivery plans are realistic, transparent, and measurable.</li><li>Design and implement continuous integration and continuous delivery (CI/CD) processes to deliver applications to production, fostering a culture of continuous process improvement.</li><li>Provide hands-on technical leadership through architecture/design reviews, code reviews, and guidance to engineers to ensure compliance with standards and best practices.</li><li>Perform Technology Alternate Assessments and create Proofs-of-Concept (as necessary) to validate options and inform technical decisions.</li><li>Work collaboratively with Product Management and Platform Engineering teams during development, launch, and continuing refinement of products iteratively.</li><li>Collaborate with internal technical resources and third-party vendors to resolve issues, understand</li><li>underlying causes, and implement sustainable solutions.</li><li>Work with team members to design, architect, and implement solutions across geographic locations, ensuring effective coordination and consistent engineering execution.</li><li>Coordinate and communicate status across stakeholders, and report delivery progress, risks, and dependency needs to leadership on a regular cadence.</li><li>Maintain deep hands-on technical knowledge by evaluating trends in modern software development practices; continuously learn and stay at the leading edge of industry trends.</li></ul> Requirements: <ul><li>Bachelor’s Degree with 8+ years of system engineering experience, or in lieu of a degree 10+ years of skilled system engineering experience.</li><li>8+ years of Strong hands-on development experience in Java and Spring Boot for building enterprise-grade services.</li><li>5+ years of Proven expertise in designing and implementing cloud-native applications using a microservices-based architecture.</li><li>Solid knowledge of event streaming and processing patterns using Kafka.</li><li>Experience deploying and operating applications on cloud platforms such as AWS and PCF (Pivotal Cloud Foundry).</li><li>Strong understanding of data storage and caching concepts and implementations using GemFire, Redis &amp; Elastic cache.</li><li>5+ years of Working knowledge of database design and persistence using MySQL, Aurora SQL &amp; no SQL.</li><li>Experience with observability, logging, and production monitoring, including tools such as Splunk and New Relic</li></ul>

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62 cloud backend Jobs found

Lead, AI & Data Products (Technical)

Regional Manager of Security Operations

Consulting Engineer - Service Provider

Channel Sales Manager

Glamping Manager Operations

Front End Central Product Integration (FE CPIE) MTS (FE)

AVP/VP, Software Engineer, Technology Group

VP, Senior Data Engineering Manager

Assistant Vice President - Principal Engineer

AVP, Principal Software Engineer (Senior Technical lead)

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Lead, AI & Data Products (Technical)

Regional Manager of Security Operations

Consulting Engineer - Service Provider

Channel Sales Manager

Glamping Manager Operations

Front End Central Product Integration (FE CPIE) MTS (FE)

AVP/VP, Software Engineer, Technology Group

VP, Senior Data Engineering Manager

Assistant Vice President - Principal Engineer

AVP, Principal Software Engineer (Senior Technical lead)

WhiteCrow WhiteCrow is on a mission to connect companies with the best talent across the globe.

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