Cloud Engineering Manager

Technology Obsolescence - Task force - Data Specialist (VP1)

Front-End Process Integration Engineer

Machine Learning Engineer Lead

UAEN Senior Executive - Urban Planning

AVP, Principal Software Engineer (Front-End)

Application Developer - Fullstack Developer

Software Engineer – Ag & Trade

Funds Transfer Pricing - Management Accounting Team lead ( VP2)

Revit / BIM Coordinator — Mechanical Services

Responsibilities: <ul><li>Lead the engineering, operation, and continuous improvement of enterprise cloud platforms across Microsoft Azure (primary), AWS, and GCP, including landing zones, networking, platform services, and secure cloud foundations.</li><li>Build and maintain standardized delivery pathways, CI/CD pipelines, infrastructure-as-code (IaC) modules, GitOps practices, and environment automation to enable consistent, scalable, and compliant deployments.</li><li>Drive an automation-first engineering model, reducing manual intervention through policy-as-code, automated workflows, AI-assisted engineering, and agent-based execution of routine operational activities.</li><li>Develop and mature AIOps capabilities, including anomaly detection, intelligent alert correlation, automated remediation, and measurable reduction of operational toil.</li><li>Design and operate infrastructure supporting enterprise AI workloads, including GPU/accelerated compute, managed AI services, model serving and inference endpoints, vector and retrieval services, and secure AI landing zones.</li><li>Partner with Data &amp; AI teams to provide scalable, secure infrastructure for AI solutions while managing capacity, quotas, workload isolation, and AI infrastructure consumption and cost reporting.</li><li>Lead cloud reliability, observability, and resilience, establishing service level objectives (SLOs), error budgets, metrics, logging, tracing, recovery playbooks, and validated RTO/RPO requirements.</li><li>Implement cloud security, identity, and compliance guardrails through secure baselines, policy-as-code, workload identities, privileged access controls, and Microsoft Entra ID integration.&nbsp;</li><li>Maintain platform compliance with applicable data protection and industry standards, including GDPR, CCPA, PCI-DSS, and SOC 2, in partnership with Global Cybersecurity and other governance teams.</li><li>Execute FinOps and cloud optimization initiatives, including tagging and cost allocation, rightsizing, scheduling, storage optimization, reservations, savings plans, committed spend, forecasting, and consumption reporting.</li><li>Support the organizations cloud-first transformation, including modernization and consolidation of VMware workloads and rationalization of AWS and GCP environments around strategic business requirements.</li><li>Lead and develop a globally distributed cloud engineering team, establishing engineering standards, structured code and design reviews, operational discipline, continuous learning, and accountability for cloud providers and engineering partners.</li></ul> Requirements: <ul><li>Bachelor’s degree in Computer Science, Engineering, Information Technology, or a related field, or equivalent professional experience.</li><li>10+ years of progressive cloud and infrastructure engineering experience, including at least 3 years leading engineering teams with accountability for production platform services.</li><li>Expert-level, hands-on experience with Microsoft Azure, with demonstrated experience building and operating environments across AWS and GCP.</li><li>Deep experience with platform engineering and infrastructure-as-code, including Terraform, Bicep, GitOps, CI/CD pipelines, landing zones, and automated provisioning.</li><li>Demonstrated experience implementing cloud automation and AI-enabled operations, including AIOps, AI-assisted engineering, or agent-based automation.</li><li>Hands-on experience supporting AI/ML infrastructure, including GPU/accelerated compute, managed AI services, model serving, or AI workload platforms.</li><li>Strong production experience with Kubernetes (AKS, EKS, or GKE), cloud security, identity, observability, and reliability practices.</li><li>Experience leading distributed engineering teams and supporting highly available, business-critical technology environments.</li></ul> Preferred Skills <ul><li>Professional certifications such as Azure Solutions Architect Expert, AWS Certified Solutions Architect – Professional, Google Professional Cloud Architect, CKA, Terraform Associate, or FinOps Certified Practitioner.</li><li>Experience with Microsoft Entra ID, workload identity, privileged access, Conditional Access, zero-trust principles, and policy-as-code.</li><li>Experience with observability and SRE practices, including Grafana, Prometheus, Azure Monitor, CloudWatch, SLOs, and error budgets.</li><li>Working knowledge of FinOps, cloud cost optimization, tagging strategies, reservations, savings plans, and consumption reporting.</li><li>Experience migrating and modernizing VMware and on-premises workloads into cloud environments.</li><li>Experience leading global teams across the Americas, EMEA, and APAC.</li><li>Experience within aviation, transportation, logistics, field operations, or other 24/7/365 operational environments.</li></ul>

﻿Responsibilities: Data Collection &amp; Integration: Collect and consolidate data from multiple sources, including: <ul><li>CMDB platforms (e.g., Remedy)</li><li>IT Asset Management (ITAM) systems</li><li>Vendor lifecycle and support data</li><li>Security, vulnerability, and patching sources</li><li>Ensure data consistency and alignment across asset, configuration, and lifecycle repositories</li><li>Validate data accuracy, completeness, and currency</li></ul> Technology Obsolescence Analysis: <ul><li>Identify EOL, EOS, and obsolete technologies across hardware, software, OS, databases, middleware, and cloud services</li><li>Analyze lifecycle risks by technology type, vendor, business unit, and criticality</li><li>Support prioritization of remediation based on risk, business impact, and exposure</li></ul> Reporting &amp; Dashboarding: <ul><li>Design, develop, and maintain interactive dashboards and reports using:</li><li>Power BI / Tableau</li></ul> Create Standard Views Covering: <ul><li>Obsolescence risk heatmaps</li><li>Aging and lifecycle timelines</li><li>Remediation progress and trends</li><li>Compliance and audit‑ready metrics</li><li>Enable self‑service analytics for stakeholders where appropriate</li></ul> CMDB &amp; Asset Management Support: <ul><li>Support the alignment of CMDB data with actual deployed assets</li><li>Identify gaps, redundancies, or inaccuracies in configuration and asset records</li><li>Drive improvements in asset lifecycle tagging, ownership, and criticality classification</li><li>Collaborate with ITSM, ITAM, and platform teams to improve data quality and governance</li></ul> Stakeholder &amp; Decision Support: <ul><li>Provide insights and analysis to:</li><li>Domain leads and task force leads</li><li>Project managers and delivery teams</li><li>Risk, security, and audit stakeholders</li><li>Translate complex data into clear, actionable insights for non‑technical audiences</li><li>Support business case development and roadmap planning with data evidence</li></ul> Data Governance &amp; Continuous Improvement: <ul><li>Define and document data definitions, metrics, and reporting standards</li><li>Automate data refreshes and reporting pipelines where possible</li><li>Identify opportunities to improve lifecycle visibility and predictive risk analysis</li></ul> Requirements: <ul><li>5–8+ years of experience in a data analyst or reporting role within IT or technology functions</li><li>Experience supporting modernization, risk, lifecycle, or transformation initiatives is a strong advantage</li><li>Bachelor’s degree in Information Systems, Computer Science, Data Analytics, or related field</li><li>Power BI or Tableau certification</li><li>ITIL or IT Asset Management certification is a plus</li><li>Data &amp; Analytics Skills</li><li>Strong experience in data analysis and visualization</li><li>Hands on expertise in:</li><li>Power BI (DAX, data modeling, performance optimization)</li><li>Tableau (dashboards, calculated fields, storytelling)</li><li>Strong SQL skills for querying large datasets</li><li>Experience working with structured and semi structured data</li></ul>

Responsibilities: Yield Improvement and Failure Analysis: <ul><li>Own overall Front-End process yield performance and drive continuous yield improvement initiatives.</li><li>Perform comprehensive wafer scrap analysis and identify root causes of yield loss through data-driven investigations.</li><li>Partner closely with process module engineers, manufacturing, quality, and equipment teams to resolve process-related yield excursions.</li><li>Develop and implement effective corrective and preventive actions to eliminate recurrence of process and quality issues.</li><li>Lead cross-functional investigations and continuous improvement projects to improve process capability and manufacturing robustness.</li><li>Capture lessons learned into organizational knowledge databases to ensure long-term sustainability.</li></ul> Process Optimization and Development: <ul><li>Design, execute, and analyze Design of Experiments to optimize process conditions and establish robust manufacturing windows.</li><li>Evaluate process performance using statistical techniques and advanced quality tools.</li><li>Identify opportunities for baseline yield, cycle-time, and cost improvements across Front-End processes.</li><li>Support new technology introductions, process qualifications, and industrialization activities.</li></ul> Process Change Management: <ul><li>Plan, coordinate, and execute process changes through Limited Change Requests, ECNs, and qualification activities.</li><li>Assess manufacturing risks associated with process modifications and ensure successful implementation without adverse impact on yield, quality, reliability, or customer requirements.</li><li>Monitor post-implementation performance and drive timely closure of action items.</li><li>Process Transfer and Production Ramp</li><li>Support engineering runs, process flow creation, and manufacturing readiness activities for new products and technologies.</li><li>Coordinate required tooling, accessories, documentation, and process setup activities.</li><li>Review engineering lot results and ensure smooth transition into volume production.</li><li>Monitor initial production performance and drive corrective actions where required.</li></ul> Cross-Functional Collaboration: <ul><li>Work closely with Technology Development teams in Singapore and other development sites on new industrialization projects.</li><li>Provide technical leadership and integration support across process, equipment, manufacturing, quality, and product engineering functions.</li><li>Communicate technical findings, risk assessments, and recommendations effectively to management and stakeholders.</li></ul> Customer Satisfaction: <ul><li>Provide timely initial responses to customer queries.</li><li>Drive rapid containment of yield and performance issues.</li><li>Ensure customer communications are accurate, complete, and clear.</li><li>Close issues and projects within committed timelines through proactive management and without escalation.</li><li>Deliver customer commitments on time</li></ul> Requirements: <ul><li>Bachelor’s Degree in Electrical Engineering, Electronics Engineering, Materials Engineering, Microelectronics, Semiconductor Engineering, or an equivalent discipline.</li><li>Experience in semiconductor wafer fabrication or high-volume electronics manufacturing. Front-End semiconductor process integration experience is highly preferred.</li><li>Hands-on involvement in new technology introduction, process qualification, industrialization, manufacturing ramp-up, yield enhancement, or process control methodologies.</li></ul>

﻿Responsibilities: &nbsp;<ul><li>Lead, mentor, and grow a team of 4-5 ML engineers.</li><li>Provide architectural direction and code-level guidance.</li><li>Establish engineering best practices for ML system design, testing, and deployment.</li><li>Conduct design reviews, performance reviews, and technical roadmap planning.</li><li>Architect distributed ML systems serving multiple global products.</li><li>Standardize infrastructure patterns for LLM serving and retrieval systems.</li><li>Define and implement enterprise-ready agentic frameworks.</li><li>Architect multi-step reasoning systems.</li><li>Lead decisions on deterministic workflows vs. autonomous agents.</li><li>Implement guardrails, safety layers, and traceability mechanisms.</li><li>Develop evaluation frameworks to measure reasoning quality, hallucination rates, and reliability.</li><li>Establish CI/CD standards for ML lifecycle management.</li><li>Ensure compliance with enterprise data governance and responsible AI standards.</li></ul>&nbsp;Requirements &nbsp;<ul><li>8-10 years of Machine Learning/Software Engineer experience</li><li>2-3 years of people management experience.</li><li>Master’s degree or bachelors degree, computer science degree is highly desirable.</li><li>Strong software engineering background with experience in building system design, architecting AI feature/products that caters large number of users and deals with large volume of unstructured data.</li></ul>

Responsibilities: <ul><li>Support the preparation of re-master planning and development proposals, including research, technical studies, planning analysis, presentations and documentations for management review.</li><li>Conduct benchmarking, site case analysis, land use, existing site conditions, infrastructure and future approved plans in coordination with relevant internal teams.</li><li>Maintain and update development statistics, LUB tracker and planning databases including population assumptions, forecasts and other master plan data.</li><li>Support community facilities provision analysis, including assessment of requirements, review of proposed facilities and allocation against population and planning needs.</li><li>Review and process VAS applications, including land use change, Additional height, additional GFA, amalgamation and subdivision requests; coordinate with relevant stakeholders, prepare technical assessments and pre-approval forms for management review and approval.</li><li>Preparation and updating of Development Control Regulations (DCRs) and related planning documents as required.</li><li>Support in mater plan and dataset review submitted by the development team or consultants and ensure they are in line with the mater plan vision &amp; development control regulations.</li></ul> Requirements: <ul><li>Bachelor’s degree</li><li>Advanced Skills in Microsoft word, power point, Excel, AutoCAD, Sketchup</li><li>2 years of relevant experience in related field</li><li>Reliability, accuracy and confidentiality of documentation</li><li>Adherence to company policy and procedure for documentation, processing in releasing data.</li></ul>

Responsibilities: <ul><li>Lead development teams through all phases of the Agile development life cycle.</li><li>Coach and mentor junior talent, including pair-programming and reviewing AIgenerated code with engineering judgment.</li><li>Influence and collaborate with software developers, UX designers, product managers, application architects, and customer application experts to create</li><li>amazing apps.</li><li>Champion responsible adoption of AI coding assistants (GitHub Copilot, Claude Code, Cursor) on the team—setting prompt patterns, distinguishing AI Skills</li><li>(deterministic capabilities) from Agents (autonomous, multi-step workflows), and following company guidance for data handling, PII protection, IP compliance, and code provenance in regulated financial services contexts.</li><li>Ensure compliance with architecture, security, and technology standards set by company.</li><li>Participate in addressing root cause analyses, incident reports, and provide direction in problem resolution.</li><li>Ability to analyze production defects, troubleshoot systems, identify root cause, and implement fixes.</li><li>Provide 24x7 on-call support periodically throughout the year.</li><li>Identify ways to increase efficiency and improve system performance, including by piloting AI tools and agentic workflows for repetitive engineering tasks.</li><li>Work with third party vendors to develop software and/or integrate their software into company products.</li></ul> Requirements: <ul><li>Bachelor’s degree and a minimum of 5 years in full stack development with a strong focus on JavaScript (React JS in particular) OR, in lieu of degree, with 7 years of experience in the same.</li><li>Hands-on experience using at least one AI coding assistant (GitHub Copilot, Claude Code, Cursor, or equivalent) as part of regular development workflow.</li><li>Proficiency in TypeScript, JavaScript, React, Redux, Styled-Components, and RTL or Cypress.</li><li>Familiarity with AI-native concepts—RAG patterns, vector databases, MCP (Model Context Protocol), and agent orchestration—and how they differ from</li><li>traditional architecture.</li><li>Awareness of the open-source AI tooling ecosystem (Continue.dev, Aider, Cline, Ollama). Exposure to building or customizing AI agents/skills using LLM APIs (OpenAI, Anthropic Claude, Azure OpenAI) for engineering automation such as code review, documentation, or migration assistants.</li><li>Live and breathe testing.</li></ul>

Responsibilities: Application Development: <ul><li>Design, develop, test, deploy, and support web applications using Angular/AngularJS, Python, and modern full stack technologies.</li><li>Build responsive, high-performing, and user-friendly web interfaces.</li><li>Develop and maintain backend services, business logic, RESTful APIs, and system integrations.</li><li>Integrate applications with databases, enterprise platforms, and third-party systems.&nbsp;</li></ul> Solution Design: <ul><li>Analyze business and functional requirements and translate them into technical solutions.</li><li>Prepare technical designs, system workflows, and application specifications.</li><li>Contribute to technical design discussions and recommend scalable, maintainable solutions aligned with established architecture standards.</li><li>Support the evaluation and selection of appropriate technologies and development approaches.</li></ul> System Integration &amp; Database Management: <ul><li>Develop and maintain secure REST APIs and system integrations.</li><li>Design, optimize, and support relational databases and SQL queries.</li><li>Ensure secure, accurate, and reliable data processing across applications.</li><li>Monitor and optimize application, API, and database performance.</li></ul> Quality Assurance &amp; Testing: <ul><li>Develop and execute unit tests, integration tests, and defect resolution activities.</li><li>Participate in code reviews and quality improvement initiatives.</li><li>Support user acceptance testing, release validation, and production deployments.</li><li>Contribute to automated testing and continuous integration practices where applicable.</li></ul> Application Support &amp; Continuous Improvement: <ul><li>Troubleshoot application issues and provide timely resolution of incidents and defects.</li><li>Monitor application performance, availability, and operational health.</li><li>Perform root cause analysis and implement sustainable solutions to prevent recurring issues.</li><li>Identify opportunities to improve application functionality, performance, maintainability, and user experience.</li></ul> Agile Delivery &amp; Collaboration: <ul><li>Participate in backlog refinement, sprint planning, daily stand-ups, reviews, and retrospectives.</li><li>Collaborate with Business Analysts, Product Owners, Project Managers, and cross-functional technical teams.</li><li>Provide effort estimates and technical input to support project planning and delivery commitments.</li><li>Communicate progress, risks, dependencies, and technical recommendations to stakeholders.</li></ul> Security &amp; Development Standards: <ul><li>Follow secure software development practices and organizational security requirements.</li><li>Ensure applications comply with data privacy, security, audit, and compliance standards.</li><li>Adhere to coding standards, code review processes, and development best practices.</li><li>Support vulnerability remediation and application security improvements.</li></ul> Documentation &amp; Compliance; <ul><li>Maintain technical documentation, support guides, and system specifications.</li><li>Document application configurations, enhancements, integrations, and support procedures.</li><li>Ensure solutions are developed in accordance with organizational policies, standards, and governance requirements.</li></ul> Requirements: <ul><li>3+ years of software development experience, with strong hands-on expertise in Angular or AngularJS for web application development.</li><li>Strong experience in API development and integration, with the ability to develop, consume, test, and troubleshoot RESTful APIs.</li><li>Good working knowledge of JavaScript, TypeScript, HTML5, and CSS3, with a solid understanding of modern web application development practices.</li><li>Hands-on experience with SQL and relational databases, preferably SQL Server, PostgreSQL, or MySQL, including database queries and data handling.</li><li>Proficiency with Git/version control and good understanding of software development lifecycle, debugging, testing, and collaboration with cross-functional development teams.</li><li>Experience with Python development for backend services</li></ul>

Responsibilities: Software Development: <ul><li>Design, develop, test, and maintain scalable software applications using Java Spring Boot and JavaScript for backend and frontend development, respectively. Build clean, reusable, maintainable, and well-tested code following software engineering best practices.</li></ul> Full Stack Application Development: <ul><li>Develop end-to-end web and mobile applications using Java Spring Boot, React or React Native, backend APIs, database integrations, and modern UI frameworks to deliver intuitive user experiences.</li><li>Design and develop secure RESTful APIs, backend services, authentication mechanisms, and data access layers while ensuring application scalability and performance.</li></ul> AI Enable Engineering: <ul><li>Leverage AI-assisted development tools such as GitHub Copilot, Cursor, ChatGPT, Claude, Amazon Q, or similar tools to improve engineering productivity.</li><li>Experience integrating LLM APIs or AI-powered capabilities into applications is desirable.</li></ul> Collabration: <ul><li>Collaborate with Product Managers, Business Analysts, UX Designers, QA Engineers, Architects, and cross-functional engineering teams to understand business requirements and deliver scalable software solutions.</li><li>Participate in sprint planning, technical discussions, estimation, backlog refinement, and Agile ceremonies.</li></ul> Testing &amp; Quality: <ul><li>Develop unit tests, integration tests, and participate in peer code reviews to ensure software quality, maintainability, reliability, and performance.</li><li>Follow secure coding standards and engineering best practices.</li></ul> Cloud &amp; Devops: <ul><li>Contribute to CI/CD pipelines and cloud-native application deployments using technologies such as Docker, Kubernetes, Azure, AWS, GitHub Actions, or Azure DevOps.</li></ul> Continous Improvement: <ul><li>Identify opportunities to improve software architecture, engineering standards, automation, developer productivity, and application performance.</li><li>Adopt AI-assisted engineering workflows and modern software development practices.</li></ul> Technical Support: <ul><li>Troubleshoot production issues, perform root cause analysis, and resolve application issues while ensuring minimal business disruption.</li></ul> Requirements: <ul><li>Bachelors degree in Computer Science, Engineering, Information Technology, or a related field (or equivalent practical experience).</li><li>3–5 years of professional software development experience.</li><li>Minimum 3+ years of hands-on full-stack development experience.</li><li>Experience developing production-grade web or mobile applications (not academic or personal projects).</li><li>Strong proficiency in Java Spring Boot and JavaScript.</li><li>Experience developing applications using React or React Native.</li><li>Experience developing backend services using Node.js or equivalent backend technologies.</li><li>Strong understanding of REST API development.</li><li>Experience with relational databases such as PostgreSQL, MySQL, SQL Server, or equivalent.</li><li>Strong knowledge of Git and modern software engineering practices.</li><li>Experience working in Agile/Scrum teams.</li><li>Strong understanding of object-oriented programming, software design principles, and data structures.</li></ul>

Responsibilities: <ul><li>Understand business function and analyse users requirements, make a clear scope of project and build consensus with users</li><li>Lead in analysis and scoping of data sourcing and functional enhancements, functional/application design, functional specifications, discuss and obtain users agreements</li><li>Obtain commitments from all identified stakeholders on creation of project plan and handle of project change management</li><li>Create project schedule, project activity list and control to keep the schedule and within budget</li><li>Prepare SIT test schedule and develop test cases</li><li>Arrange with users to conduct User Acceptance Test and arrange with development team to prepare necessary test environment and support functional testing</li><li>Monitor and report on the progress of UAT and follow up with the error resolution</li><li>Prepare necessary documents to facilitate and deliver the project (Release checklist, UAT results, etc)</li><li>Manage the technical delivery within timeline and with quality</li><li>Manage change request and defect with release control</li><li>Manage project issues, user and vendor expectations</li><li>Ensure end-user satisfaction and meeting service level agreement</li><li>Provide coaching to team and to build high performance team</li></ul> Requirements: <ul><li>Relevant experience in a Financial Institution for Management Accounting and Profitability Reporting</li><li>Financial applications (e.g. General Ledger, cost management, budget, forecast) in banking environmet</li><li>Good understanding of data from core banking and treasury products</li><li>Data mapping and data sourcing from data warehouse experience</li><li>Good understanding in SDLC phases</li><li>Capability in requirement analysis and functional design skills</li><li>Capability of self-learning and a quick learner</li><li>Be adaptable, flexible and be able to thrive in a challenging, fast-paced of a growing organization / environment</li><li>Good communication (written and oral) skills</li><li>Ability to network and influence others without direct oversight or supervision</li><li>Ability to develop and maintain productive working relationships with colleagues in distributed global locations</li></ul>

Responsibilities:&nbsp; <ul><li>Own and manage the Mechanical Revit model throughout the entire project lifecycle.</li><li>Coordinate Mechanical, Electrical, Architectural, and Structural models to identify and resolve clashes.</li><li>Convert schematic designs into accurate, coordinated, and constructible 3D Revit models.</li><li>Lead and mentor a remote BIM/Revit modelling team, ensuring quality and timely project delivery.</li><li>Act as the client-facing representative, presenting design updates and coordinating technical solutions.</li></ul> Requirements:&nbsp; <ul><li>Strong proficiency in Autodesk Revit with experience in Mechanical Building Services (HVAC) modelling.</li><li>Solid understanding of BIM processes, MEP coordination, and construction workflows.</li><li>Proven experience coordinating multidisciplinary projects and resolving model clashes.</li><li>Experience leading or managing BIM/Revit teams, including remote or distributed teams.&nbsp;</li><li>Excellent communication and stakeholder management skills, with confidence in client-facing meetings and technical discussions.</li></ul>

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39 distributed databases Jobs found

Cloud Engineering Manager

Technology Obsolescence - Task force - Data Specialist (VP1)

Front-End Process Integration Engineer

Machine Learning Engineer Lead

UAEN Senior Executive - Urban Planning

AVP, Principal Software Engineer (Front-End)

Application Developer - Fullstack Developer

Software Engineer – Ag & Trade

Funds Transfer Pricing - Management Accounting Team lead ( VP2)

Revit / BIM Coordinator — Mechanical Services

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39 distributed databases Jobs found

Cloud Engineering Manager

Technology Obsolescence - Task force - Data Specialist (VP1)

Front-End Process Integration Engineer

Machine Learning Engineer Lead

UAEN Senior Executive - Urban Planning

AVP, Principal Software Engineer (Front-End)

Application Developer - Fullstack Developer

Software Engineer – Ag & Trade

Funds Transfer Pricing - Management Accounting Team lead ( VP2)

Revit / BIM Coordinator — Mechanical Services

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

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