Cloud Engineer

Senior Data Scientist II

Business Process Analyst – NPI / Product Development

IT Project Manager

Consulting Azure Cloud Engineer

Consulting Principal AWS Cloud Engineer

DevOps Engineer

System Analyst

Senior BI Developer - International

Gen AI Solution Architect

Responsibilities:&nbsp; <ul><li>Responsible for the implementation, testing, optimization and virtualization of cloud infrastructure across on-premise, cloud and network infrastructure.</li><li>Performs activities pertaining to cloud infrastructure deployment and performance to ensure delivery of cloud infrastructure solutions in alignment with service standards.</li><li>Perform OS and database hardening according to the Authority’s hardening guide.</li><li>Provision of new workload in a Cloud platform.</li><li>Integration of new workload to existing Common Services (eg backup, monitoring, etc).</li><li>Integration of new workload to AD, DNS and DHCP.</li><li>Collaborating with teams to assess current infrastructure and recommend cloud adoption strategies.</li><li>Work with different OEM/Vendor/subcontractor for implementation and integration.</li></ul> Requirements: <ul><li>Degree/Diploma in Computer Science, Computer Engineering or equivalent, although consideration will be given to experience and certifications in lieu of degree.</li><li>Experience in Terraform will be an added advantage</li><li>Minimum 2 to 4 years IT experience.</li><li>Minimum 3 years of experience working as a System engineer within the operations environment.</li><li>Past working experience in Cloud environment is an advantage.</li><li>Excellent scheduling and multitasking skills</li><li>Meticulous and process-oriented.</li><li>Good, hard-working attitude with ability to work well under pressure.</li><li>Good communication skills English (written, spoken).</li><li>Good analytical skills with ability to work with others to resolve problems.</li><li>Good organization skills, with ability to properly document and track information.</li><li>Dynamic, customer oriented, experience working in a fast-paced environment</li></ul> Skills / Knowledge:&nbsp; <ul><li>Proficiency in one or more cloud platforms such as Amazon Web Services (AWS), Microsoft Azure, Google Cloud Platform (GCP), or Oracle Cloud Infrastructure (OCI). Strong knowledge of cloud services, features, and capabilities.</li></ul> Good Knowledge of following products will be advantageous: <ul><li>Linux</li><li>Unix</li><li>Active Directory/DNS</li><li>Good understanding of server, storage and networking concept</li></ul>

About the Role : <ul><li>As a data scientist on our team, you will work on new product development in a small team environment writing production code in both run-time and build-time environments.&nbsp;</li><li>You will help propose and build data-driven solutions for high-value customer problems by discovering, extracting, and modeling knowledge from large-scale natural language datasets including matter and contract repository, invoice/legal spend data and work management.&nbsp;</li><li>You will prototype new ideas, collaborating with other data scientists as well as product designers, data engineers, front-end developers, and a team of expert legal data annotators.</li><li>You will get the experience of working in a start-up culture with the large datasets and many other resources of an established company.</li><li>We are committed to advancing gender diversity within the technology sector and supporting greater representation of women in tech. To further this commitment,</li></ul> Responsibilities: <ul><li>Develop and implement LLM-based applications tailored for legal use-cases&nbsp;</li><li>Evaluate and help maintain our data assets and training/evaluation data sets&nbsp;</li><li>Design and build pipelines for preprocessing, annotating, and managing legal document datasets&nbsp;</li><li>Collaborate with legal experts to understand requirements and ensure ML-applications meet domain-specific needs&nbsp;</li><li>Conduct experiments and evaluate model performance to drive continuous improvements&nbsp;</li><li>Fine-tune and deploy large language models to enhance their performance on legal text processing tasks&nbsp;</li><li>Interface with other technical personnel or team members to finalize requirements.&nbsp;</li><li>Work closely with other development team members to understand complex product requirements and translate them into software designs.&nbsp;</li><li>Successfully implement development processes, coding best practices, and code reviews for production environments.</li></ul> Requirements:&nbsp; <ul><li>Able to work in person 2 days per week&nbsp;</li><li>Bilingual English and Spanish&nbsp;</li><li>Practical experience with large language models, prompt engineering, fine-tuning RAG-based applications and benchmarking, using frameworks such as LangChain&nbsp;</li><li>MS in Data Science, Computer Science, Statistics, Machine Learning, or relevant work experience&nbsp;</li><li>Practical experience in Natural Language Processing methods and libraries such as spaCy, word2vec, Flair, BERT (ways to vectorize text data)&nbsp;</li><li>Formal training in machine learning: dimensionality reduction, clustering, embeddings, and sequence classification algorithms&nbsp;</li><li>Strong Python background&nbsp;</li><li>Knowledge of AWS, GCP, Azure, or other cloud platform&nbsp;</li><li>Understanding of data modeling principles and complex data models.&nbsp;</li><li>Proficiency with relational and NoSQL databases as well as vector stores (e.g., MySQL, Postgres, Solr, Elasticsearch/OpenSearch)</li><li>Knowledge of Spark-Scala, Ray or other distributed computing systems highly preferred&nbsp;</li><li>Knowledge of API development, containerization, and machine learning deployment highly preferred&nbsp;</li><li>Experience with ML Ops/AI Ops including experiment tracking tools like LangFuse and DVC&nbsp;</li><li>Experience with deep learning frameworks such as PyTorch, Tensorflow and Hugging Face Transformers Work in a way that works for you We promote a healthy work/life balance across the organization. </li><li>We offer an appealing working prospect for our people.&nbsp;</li><li>With numerous wellbeing initiatives, shared parental leave, study assistance and sabbaticals, we will help you meet your immediate. </li><li>Working flexible hours - flexing the times when you work in the day to help you fit everything in and work when you are the most productive.</li></ul>

Responsibilities: Process Documentation and Modelling: <ul><li>Collaborate with business stakeholders and process owners to understand and document existing processes using BPMN notation.</li><li>Create detailed process maps, workflows, and diagrams that accurately represent the end-to-end processes and related activities.</li><li>Ensure that all process documentation is clear, consistent, and follows best practices in BPMN modelling.</li></ul> Process Analysis and Optimization: <ul><li>Analyse the documented processes to identify inefficiencies, bottlenecks, and areas for improvement.</li><li>Work with cross-functional teams to propose process optimizations and enhancements using BPMN-tool capabilities.</li><li>Validate process changes with stakeholders and ensure that process improvements align with organizational goals.</li></ul> BPMN-Tool Management: <ul><li>Utilize BPMN-tool to create, update, and maintain process documentation in a centralized and accessible manner.</li><li>Stay up-to-date with the latest features and updates of the BPMN-tool and identify opportunities to leverage new functionalities.</li><li>Train team members and stakeholders on using the BPMN-tool effectively for process documentation and analysis.</li></ul> Requirements:&nbsp; <ul><li>Bachelors degree in Industrial Engineering, Manufacturing Engineering, Business Administration, Management, Information Technology, or a related field. Masters degree is a plus.</li><li>Proven experience (typically 3+ years) in business process management, process documentation, or related roles.</li><li>Fluent English</li><li>Experience driving process improvements in the area of NPI and Manufacturing</li><li>Working experience as a Product manager / Process Analyst / NPI Engineer / Project Manager / Manufacturing engineer</li><li>Experience to operate or roll out Agile methodology, scrum methodology and Kanban board for the team.</li><li>Experience to use task management software such as Azure DevOps, Microsoft planner, Jira, Agile software</li><li>Experience with Design for manufacturing concept and process (DFM).</li><li>Strong proficiency in BPMN notation and experience using BPMN-tools for process modeling (e.g., Bizagi, Signavio, Camunda, etc.).</li><li>Analytical mindset with the ability to identify process improvement opportunities through data analysis.</li><li>Excellent communication skills, both written and verbal, to effectively collaborate with stakeholders and present complex concepts.</li><li>Project management skills to handle multiple process documentation projects simultaneously.</li><li>Understanding of process improvement methodologies such as Lean, Six Sigma, or Business Process Reengineering (BPR).</li><li>Familiarity with compliance and regulatory requirements related to business processes.</li></ul>

Responsibilities: Lead IT Project: <ul><li>Manage IT projects from planning through implementation and support, ensuring on-time, on-budget delivery and acting as the primary point of contact for stakeholders.</li></ul> Manage Project Scope &amp; Planning: <ul><li>Collaborate with stakeholders to define project scope, develop detailed plans, and manage risks and changes to keep projects on track.</li></ul> Project Execution &amp; Leadership: <ul><li>Lead cross-functional teams to ensure successful project execution, adhering to timelines, budgets, and quality standards, while resolving issues.</li></ul> Process Improvement &amp; Continuous Delivery: <ul><li>Identify and implement process improvements to ensure continuous value delivery and enhance system performance and usability.</li></ul> Stakeholder Management &amp; Communication: <ul><li>Communicate project goals and progress clearly to stakeholders and IT Delivery Lead, managing expectations and ensuring smooth coordination between business and technical teams, escalate risk and issues.</li></ul> Training &amp; Documentation: <ul><li>Oversee the creation of training materials and documentation, ensuring successful system adoption through comprehensive end-user training.</li></ul> Vendor &amp; Resource Management: <ul><li>Coordinate with vendors, plan and manage internal/external resources, ensuring they meet project requirements, while efficiently managing internal resources for optimal task allocation.</li></ul> Requirements: <ul><li>3 years of IT Project Management experience with a focus on Agile methodology.</li><li>Proficient in Azure DevOps for sprint planning, delivery plan, tracking, and collaboration.</li><li>Skilled in OnePlan for portfolio management, resource allocation, and reporting.</li><li>Experienced with LeanIX to align IT solutions with business strategy and manage enterprise architecture.</li><li>Strong in planning, organizing, and handling multiple projects with shifting priorities.</li><li>Excellent team player and leader, capable of driving cross-functional team productivity.</li><li>Expertise in risk management and ensuring projects meet deadlines and quality standards.</li><li>Strong communication skills for managing stakeholders and providing clear project updates.</li><li>Proficient in resource management and ensuring optimal team performance.</li><li>Ability to translate business requirements into technical solutions with clear documentation.</li></ul>

Responsibilities: <ul><li>Design and implement infrastructure solutions using Azure OpenAI, Azure Front Door, and APIM to support Cognitive Services.</li><li>Collaborate with cross-functional teams to integrate AI capabilities into existing and new applications.</li><li>Optimize and manage the performance, scalability, and security of AI infrastructure.</li><li>Develop and maintain documentation for infrastructure design, configuration, and best practices.</li><li>Troubleshoot and resolve complex technical issues related to AI infrastructure.</li><li>Work on cloud infrastructure to ensure seamless deployment and operation of the AI platform.</li><li>Stay updated with the latest advancements in Azure services and AI technologies to ensure the infrastructure remains cutting-edge.</li><li>Provide technical leadership and mentorship to junior engineers and team members</li></ul> Requirements: <ul><li>Software Engineering experience.</li><li>BS Engineering/Computer Science or equivalent experience required; advanced degree preferred.</li><li>Bachelor’s degree in engineering, related field, or equivalent of experience.</li><li>Proven experience in designing and managing Azure-based infrastructure, specifically with Azure OpenAI, Front Door, and APIM.</li><li>Strong understanding of Cognitive Services and AI/ML concepts.</li><li>Proficiency in scripting and automation using tools such as PowerShell, Azure CLI, or similar.</li><li>Excellent problem-solving skills and the ability to work in a fast-paced environment.</li><li>Strong communication skills and the ability to collaborate effectively with diverse teams.</li><li>Azure certifications (e.g., Azure Solutions Architect, Azure DevOps Engineer) are a plus.</li></ul>

Responsibilities: <ul><li>Demonstrated ability to drive cultural change and advocate for cloud transformation Key Responsibilities Cloud Strategy &amp; Leadership&nbsp;</li><li>Develop and implement a comprehensive AWS cloud strategy, ensuring alignment with business and technology goals.&nbsp;</li><li>Provide technical leadership and advocacy, championing cloud-native best practices and innovation.&nbsp;</li><li>Lead and drive architectural decisions, ensuring scalability, security, and operational efficiency.</li><li>Cloud Architecture &amp; Design&nbsp;</li><li>Architect secure, scalable, and highly available AWS cloud environments.&nbsp;</li><li>Develop and maintain enterprise-wide cloud blueprints, patterns, and frameworks to drive consistency.&nbsp;</li><li>Research and integrate emerging cloud technologies to foster continuous innovation. Infrastructure as Code &amp; Automation&nbsp;</li><li>Lead adoption and implementation of Infrastructure as Code (IaC) using Terraform, AWS CloudFormation, and Helm.&nbsp;</li><li>Design and optimize CI/CD pipelines to streamline cloud deployments and operations.&nbsp;</li><li>Implement self-healing and automated failover mechanisms to enhance resilience and reliability.</li><li>Kubernetes &amp; Cloud-Native Technologies&nbsp;</li><li>Manage and optimize Kubernetes clusters (EKS, Helm, IAM) for scalability and security.&nbsp;</li><li>Define and enforce best practices for containerized applications and orchestration.&nbsp;</li><li>Improve Kubernetes networking, ingress, and observability solutions to enhance performance. Security &amp; Compliance&nbsp;</li><li>Establish and enforce security best practices for AWS environments, including IAM, WAF, Secret Manager, and encryption.&nbsp;</li><li>Implement zero-trust security models and secure multi-account AWS environments.&nbsp;</li><li>Conduct security audits, incident response, and ensure compliance with industry standards. Monitoring, Logging &amp; Reliability Engineering.</li><li>Deploy and manage monitoring tools (DataDog, Splunk, CloudWatch, Coralogix) to ensure visibility and observability.&nbsp;</li><li>Implement SRE principles to enhance system uptime, reliability, and efficiency.&nbsp;</li><li>Conduct post-mortem analysis and drive continuous improvements in cloud performance. Collaboration &amp; Thought Leadership&nbsp;</li><li>Work closely with software developers, system engineers, and security teams to design and implement cloud solutions.&nbsp;</li><li>Provide mentorship, training, and technical leadership to engineering teams.&nbsp;</li></ul> Requirements: <ul><li>10+ years of experience in IT, with at least 5+ years in AWS cloud engineering and architecture.</li><li>Deep understanding of AWS services, including EC2, EKS, RDS, S3, Lambda, VPC, IAM, Transit Gateway, and CloudFormation.&nbsp;</li><li>Expertise in Kubernetes (EKS, Helm, Daemon Sets, StatefulSets, Karpenter, external-dns, aws-cni).&nbsp;</li><li>Strong experience with Terraform, CloudFormation, and automation scripting (Bash, Python, PowerShell).&nbsp;</li><li>Hands-on experience managing CI/CD pipelines (Jenkins, GitHub Actions, Azure DevOps).&nbsp;</li><li>Proficiency in monitoring and logging tools (DataDog, Splunk, Coralogix, CloudWatch).&nbsp;</li><li>Strong networking and security knowledge (DNS, VPC, NAT, Security Groups, IAM).&nbsp;</li><li>Experience designing and developing scalable, production-grade software tools and automation scripts using Python. Preferred Certifications&nbsp;</li><li>AWS Certified Solutions Architect – Professional (or equivalent).&nbsp;</li><li>Additional certifications in Kubernetes (CKA), AWS Security, or DevOps are a plus. Leadership &amp; Soft Skills&nbsp;</li><li>Proven experience leading cloud architecture and strategy initiatives.&nbsp;</li><li>Ability to mentor and guide technical teams in a fast-paced, agile environment.&nbsp;</li><li>Strong problem-solving and troubleshooting skills in complex cloud environments.</li><li>Excellent communication skills with the ability to translate technical concepts for engineering, business, and executive stakeholders.&nbsp;</li></ul>

Responsibilities: <ul><li>To provide operational support for the overall Agile DevOps Platform, which includes:&nbsp;</li><li>Drive thought leadership in DevOps practices.</li><li>Work closely with Machine Learning Engineers to automate model training, testing and deployment into production using Continuous Integration/Continuous Delivery (CI/CD)&nbsp;</li><li>Hands on implementation and maintenance of CI/CD pipelines&nbsp;</li><li>Work closely with Security Architect to integrate security best practice into the pipeline&nbsp;</li><li>Identify and resolve problems in a timely fashion&nbsp;</li><li>Maintenance and upgrading of platform tools&nbsp;</li><li>Continuous monitoring of health of Agile products</li></ul> Requirements: <ul><li>Bachelor Degree in Computer Science</li><li>5+ Years experience in AWS Services, EKS, Kibana&nbsp;</li><li>Well-versed in agile ways of working and familiar with common tools including JIRA and Confluence&nbsp;</li><li>Experience in working in cross-functional Agile teams&nbsp;</li><li>A strong technical foundation in the following:&nbsp;</li><li>Good working experience with cloud-based technologies and architectures (AWS, Azure or&nbsp;&nbsp;&nbsp;GCP). AWS know-how is preferred&nbsp;</li><li>Experience with CI/CD practices and systems (e.g. git, git flow, trunk-based development).&nbsp;</li><li>Experience and good knowledge of Containerization (docker etc.)&nbsp;</li><li>Container orchestration using Kubernetes</li><li>Scripting language (shell, ruby/jruby, perl, python, powershell etc.)&nbsp;</li><li>Monitoring and data collection tools (nagios, splunk, and etc.)&nbsp;</li><li>SCM tools (git, bitbucket)&nbsp;</li><li>Build tools (ant, nant, rake, etc.)&nbsp;</li><li>Packet management (rpm, npm and etc.)&nbsp;</li><li>Configuration management tools (Ansible, chef, Terraform, puppet etc.)&nbsp;</li><li>Microservices architecture&nbsp;&nbsp;</li></ul>

Responsibilities: <ul><li>Maintain the Project Management Office (PMO), managing communications across the contract, tracking assets &amp; documentations and monitoring the progress of work including overseeing the services of our ICT O&amp;M contractors&nbsp;&nbsp;</li><li>Utilize cloud technologies like GCC Azure, AWS and Google Cloud Platform to conduct end-to-end systems monitoring, problem resolution and to save operating costs</li><li>Familiar with local public sector projects and government policies and processes such as IM8, cybersecurity, data security</li><li>Collaborate with business &amp; technology stakeholders, ICT providers or government agencies and other external parties to drive new initiatives/enhancements</li><li>Offer support in managing, maintaining, and testing IT application systems, ensuring their efficient operation and functionality</li><li>Review project deliverables (e.g. system documentations, monthly project report, log review for privileged user access, test plan, test reports, application design/ code) to ensure the completeness for acceptance; and&nbsp;</li><li>Ensure project deliveries complies with relevant policies, standards, and guidelines, and identify and address any compliance gaps.&nbsp;</li><li>project coordination &amp; monitoring, asset management, resource tracking, meeting logistics, service/change request processing, records/document management</li><li>Perform requirement gathering, requirement analysis, business process mapping, design thinking, prepare requirement specifications, flow charts, logical diagrams, and initiate process improvements.</li><li>Agile, Software Development Life Cycle (SDLC) and testing methodologies</li></ul> Requirements: <ul><li>Bachelor’s degree in Business, Management of Information Systems, Information/ Infocom Technology, or related discipline.</li><li>8 years of experience in IT.</li><li>6 + years experience in Public sector.</li><li>Singapore Government (Public Sector) experience is mandate.</li><li>GCC Experience is additional advantage.</li><li>6+ Years Experience, Singapore Government (Public Sector) experience is mandate.</li><li>GCC Experience is additional advantage.</li><li>Maintain the Project Management Office (PMO), managing communications across the contract, tracking assets &amp; documentations and monitoring the progress of work including overseeing the services of our ICT O&amp;M contractors&nbsp;&nbsp;</li></ul>

Responsibilities: <ul><li>Foster a culture of teamwork across the IT team and the organization</li><li>Mentor junior team members through their project delivery, support and customer service</li><li>Document reporting specifications as designated by the reporting consumer</li><li>Develop requisite reporting solutions</li><li>Shares responsibility in development of semantic models and data flows</li><li>Document and maintain governance information regarding data and objects in the reporting enterprise</li><li>Develop and assist in delivery of education material on tool and reporting object use</li><li>Analyze usage of reporting objects in the reporting enterprise</li><li>Shares responsibility with the greater BI team for ensuring quality and integrity of data in the data warehouse, ensuring consistency and synchronization between systems</li><li>Shares responsibility for maintenance and ensuring optimal performance of BI systems and tools</li><li>Perform requisite support of the BI Platform in line with Service Level Agreements, which may require 24/7 on-call support</li></ul> ﻿Requirements: <ul><li>Bachelor’s Degree preferred - Background in Computer Science, Engineering, Business, or related Discipline&nbsp;&nbsp;</li><li>Coursework in Statistics and/or Data Visualization desired</li><li>6-9 years working with Microsoft’s analytic tools (Power BI) with working knowledge of environment administration.</li><li>Participation in 4+ full lifecycle implementations involving new analytic capabilities and/or new data; at least 2 of the implementations in the capacity of the Lead for the reporting initiatives.</li><li>Working knowledge of Azure Data Factory, Azure Synapse, Azure Data Lake Gen 2, SQL, Power Automate, Power BI, Fabric</li><li>Translate business reporting requirements into technical specifications for EDW members</li><li>Ability to facilitate interactive design and functional specification sessions</li><li>Strong analytical problem-solving, and conceptual skills</li><li>Demonstrated track record in new concept development for a variety of projects and complex analytic artifacts</li><li>Passionate to share ideas, work with and mentor other members to ensure the success of the team</li><li>Solid communication skills (verbal, written, listening) and the ability to interact with all levels of company customers and members</li><li>Proactive, self-motivated with the ability to motivate others</li><li>Customer-focused service attitude</li><li>Good organizational skills, with the ability to meet objectives and day-to-day task management</li><li>Excellent technical documentation skills</li><li>Ability to generate and analyze requirements</li></ul>

Role Description: <ul><li>The AI Solution Architect will oversee the architecture for AI solution teams, focusing on modifying existing products and creating new ones.</li><li>The ideal candidate should be passionate about designing, building, implementing, and maintaining AI/ML/Generative AI applications.</li><li>Leadership skills are essential to implement the latest AI techniques and architectures and to continuously improve the AI/ML development, delivery, and operations process.</li><li>The role involves adhering to best practices from Software Engineering, DevOps, MLOps, and LLMOps.</li><li>The AI Solution Architect will also be responsible for translating project requirements into strategic architecture solutions, ensuring the integration of cloud-native tools from major hyperscalers and machine learning to create chatbots, optimizations, and cognitive services.</li><li>This role requires a blend of technical expertise and the ability to bridge the gap between intricate business challenges and transformative AI solutions, making it a strategically crucial position.</li></ul> Responsibilities: <ul><li>Define and oversee the AI/ML/GenAI technical direction and architectural vision, ensuring alignment with strategic goals and digital transformation efforts.</li><li>Data Analysis, Tool and Framework selection, Model Development, Testing and Deployment.</li><li>Key contributor in architecting a comprehensive AI Engineering framework that supports the deployment, evaluation, and management of ML models &amp; GenAI solutions.</li><li>Select appropriate technologies from a pool of open-source and commercial offerings, considering deployment models and integration with existing tools.</li><li>Understand and contribute to MLOps and LLMOps focusing on operational capabilities and infrastructure to deploy and manage machine learning models and large language models.</li><li>Collaborate with Enterprise, Application, Data &amp; DevOps Architects, Data scientists, Machine Learning &amp; GenAI Engineers, and Business teams to pilot use cases and discuss architectural design.</li><li>Develop and maintain contact with top decision makers, lead proposal development, and contribute to pricing strategies.</li><li>Audit AI tools and practices across data, models and software engineering focusing on continuous improvement and feedback mechanisms.</li><li>Help AI product managers and business stakeholders understand the potential and limitations of AI when planning new products.</li><li>Own all communication and collaboration channels pertaining to assigned projects, including regular stakeholder review meetings and cross team alignments.</li><li>Work closely with the business, segment analytics, IT teams and partners to deliver the outcome and help drive adoption.&nbsp;</li><li>Hands-on prototyping of new technology solutions by working with cross teams</li></ul>&nbsp;Requirements: <ul><li>15+ Years of Experience operating on AWS Cloud or other cloud hyperscalers with building Data and AI Solutions</li><li>15+ Years of Experience Data Warehouses, Data Lakes and Data Modelling techniques</li><li>15 + years of experience in Data Science, Statistics, and Machine Learning</li><li>15+ years of experience in machine learning model development, natural language processing, and data analysis;</li><li>Experienced in Supervised and Unsupervised learning, feature engineering, model training, and deployment.</li><li>15+ years of experience in implementing cloud-based AI/ML workloads on any cloud hyperscalers (AWS, Google or Azure).</li><li>Good understanding and implementation experience on GenAI models available with Cloud hyperscalers. AWS Bedrock experience is a plus but not required.</li><li>15+ Years of coding experience with Python, R, SQL etc.</li><li>Hands on experience working with LLM/RAG/Finetuning</li><li>Experience working on Agile projects and Agile methodology in general.</li><li>Experience in configuration management tools and defining configuration management schema</li><li>Excellent problem solving, communications, and teamwork skills.</li><li>Exceptional presentation, visualization, and analysis skills</li></ul> Motivational/Cultural Fit <ul><li>Innovation demeanor Problem solving.</li><li>Passion for technology.</li><li>Self development.</li><li>Results driven.</li><li>Clear and concise communication both locally and globally.</li></ul> Competencies <ul><li>Values: Integrity, Accountability, Teamwork, Innovation.</li><li>Knowledge of business ethics and Ethical Sourcing Requirements.</li><li>Ability to influence at an Executive Level both internally and externally.</li><li>Ability to lead and influence peer groups both internally and externally.</li><li>Knowledge of Total Cost of Ownership methodology (TCO).</li><li>Distributor/Supplier dynamics &amp; business models.</li><li>Knowledge of critical procurement legal requirements and contracting best practices a plus.</li></ul>

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15 azure Jobs found

Cloud Engineer

Senior Data Scientist II

Business Process Analyst – NPI / Product Development

IT Project Manager

Consulting Azure Cloud Engineer

Consulting Principal AWS Cloud Engineer

DevOps Engineer

System Analyst

Senior BI Developer - International

Gen AI Solution Architect

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15 azure Jobs found

Cloud Engineer

Senior Data Scientist II

Business Process Analyst – NPI / Product Development

IT Project Manager

Consulting Azure Cloud Engineer

Consulting Principal AWS Cloud Engineer

DevOps Engineer

System Analyst

Senior BI Developer - International

Gen AI Solution Architect

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