EUC Consultant M365

Cyber Security Sales Specialist

Senior Devops Engineer

Senior Data Engineer (Python)

Technical Lead - Data Engineering

Manager I R&D/Product DVL Engineering - Electronic and Sensor Integration

QA Tester

Senior Data Scientist II

Consulting Azure Cloud Engineer

Consulting Principal AWS Cloud Engineer

Responsibilities: <ul><li>Setup and Configuration. Deploy and configure M365 services, including Teams, Exchange Online, Windows 10/11 Deployment and Intune.</li><li>Implement security and compliance policies to ensure data classification and compliance.</li><li>Conduct Proof of Concept (POC), new product evaluations and fitment.</li><li>Configure and manage user accounts, licenses, and permissions.</li></ul> Management and Operation: <ul><li>Monitor and maintain the health and performance of M365 services.</li><li>Troubleshoot and resolve issues related to M365 services and applications.</li><li>Perform regular updates and maintenance to ensure optimal performance and security.</li></ul> Collaboration and Support: <ul><li>Work closely with other IT teams to integrate M365 services with existing systems and applications.</li><li>Provide technical support and guidance to end-users and other IT staff.</li><li>Conduct training sessions and create documentation to help users effectively utilize M365 services.</li></ul> Continuous Improvement: <ul><li>Stay up-to-date with the latest M365 features, updates, and best practices.</li><li>Identify opportunities for process improvements and automation to enhance efficiency and productivity</li><li>Participate in the planning and lead execution of M365-related projects and initiatives.</li></ul> Requirements: Additional Requirement details - Microsoft 365 Certified: <ul><li>Enterprise Administrator Expert or other relevant certifications.</li><li>roven experience in setting up, configuring, managing, and operating M365 tenant and workloads.</li><li>Strong knowledge of Microsoft 365 services, including Teams, Exchange Online, Windows 10/11 Deployment and Intune.</li><li>Experience with PowerShell scripting for automation and management tasks.</li><li>Experience with hybrid M365 environments and integration with on-premises systems.</li><li>Familiarity with security and compliance features in M365, such as Data Loss Prevention (DLP), Conditional Access, and Multi-Factor Authentication (MFA).</li><li>Knowledge of Azure Active Directory and related identity management solutions.</li><li>Excellent problem-solving and troubleshooting skills.</li><li>Strong communication and interpersonal skills.</li><li>Ability to work independently and as part of a team.</li></ul> Educational Qualification: <ul><li>Bachelor’s Degree in Computer Science, Information Technology or related field</li></ul> Experience: <ul><li>Minimum 5 to 6 years in EUC environment.</li><li>2 to 3 years of experience with skilled and experienced M365 Engineer and responsible for setting up, configuring, managing, and operating our M365 tenant and workloads. This role requires a deep understanding of Microsoft 365 services.</li></ul>

Responsibilities: <ul><li>Indian enterprise sector is going through huge digital transformation.</li><li>Areas like Cloud adaption, Advanced Analytics, AI, IOT, Block chain &amp; Robotic Process Automation, Information Security are key building block towards this transformation.</li></ul> You would be responsible for Building Security Business pipeline &amp; achieve the Security Annual targets in the large enterprise segment <ul><li>Lead Large Customer Engagement with CISO level conversation within top enterprises and conglomerate.</li><li>Support Sales Account Management (AM’s) as Cyber Security Sales Specialist in large complex projects (comprising of Zero Trust Architecture, Securing cloud work loads, transforming SOC, Micro segmentation and others)</li><li>Understand the client/sector requirements and Map Security products &amp; Services &amp; Build Solution Stack for Sales Account Managers</li><li>Understand NIST, CERTIN guidelines, mitre att&amp;ck framework, OT Security. Good understanding of Security products.</li><li>Well engaged with Tier-1 &amp; Tier-2 SI</li><li>Drive Security product sales within commercial segment in Manufacturing, PSU, ITeS, Digital Native and Pharma</li></ul> Who Youll Work With <ul><li>GSSO – SE team.</li><li>Account Manager.</li><li>Product Engineering BU across vertical.</li><li>Regional SE Team.</li><li>Regional Channel Team.</li></ul> Requirements: <ul><li>8-10 Years of experience in Security OEM / Service Provider Environment in managing Sales/ Pre-Sales/Product Management function</li><li>Good understanding of business scenarios with solution expertise to formulate a realistic and executable strategy for Security adoption among enterprises.</li><li>Possess blend of technology expertise across various cyber security vendors, enterprise networks, datacenter, cloud networking and Information systems security.</li><li>Good connects with Cybersecurity decision makers in enterprises</li><li>Lead Large Customer Engagement with CISO level conversation within top enterprises and conglomerate.</li><li>Support Sales Account Management (AM’s) as Cyber Security Sales Specialist in large complex projects (comprising of Zero Trust Architecture, Securing cloud work loads, transforming SOC, Micro segmentation and others).</li><li>Understand the client/sector requirements and Map Security products &amp; Services &amp; Build Solution Stack for Sales Account Managers</li><li>Understand NIST, CERTIN guidelines, mitre att&amp;ck framework, OT Security. Good understanding of Security products.</li><li>Well engaged with Tier-1 &amp; Tier-2 SI</li><li>Drive Security product sales within commercial segment in Manufacturing, PSU, ITeS, Digital Native and Pharma</li></ul>

Responsibilities: You will make an impact in the following way: Advanced Troubleshooting:&nbsp; <ul><li>Diagnose and resolve complex issues related to the cloud application, involving in-depth of the application architecture and infrastructure.</li></ul> Root Cause Analysis:&nbsp; <ul><li>Conduct thorough root cause analyses for recurring issues, implement preventive measures, and provide insights for continuous improvement.</li></ul> Automation and Scripting:&nbsp; <ul><li>Develop and utilize scripts and automation tools to streamline processes, improve efficiency, and reduce manual intervention in issue resolution.</li></ul> Documentation:&nbsp; <ul><li>Maintain comprehensive documentation for troubleshooting procedures, system configurations, and resolutions to facilitate sharing and future reference.</li></ul> Customer Communication:&nbsp; <ul><li>Effectively communicate with customers, providing clear and timely updates on issue resolution progress and collaborating on preventive measures.</li><li>You will be responsible for High Performance, Scalable, Robust, and Secure Common SaaS Framework based on AWS/OCP infrastructure.&nbsp;</li><li>This framework allows customers to configure provision, upgrade &amp; monitor various network functions in carrier grade enterprise &amp; telecom networks.&nbsp;</li></ul> Security and Compliance:&nbsp; <ul><li>Ensure the security of systems and applications, adhere to compliance requirements, and implement best practices for data protection.</li></ul> Collaboration:&nbsp; <ul><li>Collaboration with internal and external stakeholders.&nbsp;</li><li>Work closely with development, QA, and operations teams to foster a culture of collaboration and continuous improvement.&nbsp;</li><li>Collaborate with client’s team to gather the requirements.</li></ul> Training and Mentorship:&nbsp; <ul><li>Provide guidance and mentorship to junior team members and promote sharing within the organization.</li><li>Troubleshoot and fix any customer issues identified internally or in the production deployments.</li></ul> Requirements: <ul><li>5-8 years of Experience in DevOps (Jenkins, AWS services, Kafka, Grafana, elastic search, Bitbucket, Git, Deployment, Documentation, Root Cause Analysis reports, Customer interactions etc)</li><li>Experience with Cloud-native SaaS development &amp; virtualization technologies, for example, AWS, ESXi, KVM, HyperV would be a plus.&nbsp;</li><li>Extensive experience in developing distributed system design.</li><li>Prefer experience with microservice architecture, large scale, public cloud, IAM</li><li>Strong knowledge of containerization technologies like Kubernetes and Docker.&nbsp;</li><li>Strong knowledge in public cloud technologies (preferably AWS) and on-premises setups.</li><li>Good knowledge of analysing backend, frontend code whenever required and able to perform some tests as per customer issues.</li><li>Experience with CI/CD tooling like Jenkins etc.</li><li>Experience with version control system like Git, Bitbucket.</li><li>Experience with IaaC (Infrastructure as a Code) tools like Terraform.</li><li>Familiarity with agile development methodologies.&nbsp;</li><li>Lead and participate in various scrum ceremonies.</li><li>Good knowledge of observability tools like Kibana, Elastic stack, Prometheus stack etc.</li><li>Good knowledge of Linux operating system</li><li>Good knowledge of programming languages like Shell scripting, Python etc.</li><li>Knowledge of REST API, API gateways&nbsp;</li><li>Effective communication skills – written, spoken, listening and presentation.&nbsp;</li><li>Great Team player and experience working with global teams and global organizations.&nbsp;</li><li>Bachelor’s in computer science or equivalent.&nbsp;</li><li>Preferably a master’s degree in computer science.</li></ul>

Responsibilities: <ul><li>DevOps assignments within a engineering team or product line.</li><li>Design, implement, and manage scalable, secure, and reliable infrastructure for AI projects.</li><li>Collaborate with data scientists and software engineers to streamline the deployment and operation of AI models.</li><li>Automate the deployment, monitoring, and scaling of AI applications using tools like Kubernetes, Docker, and Terraform.</li><li>Develop and maintain CI/CD pipelines to ensure efficient and error-free code releases.</li><li>Develop and maintain Infrastructure as code (IaC) solutions, automation of deployment, building High Availability network, working on container network</li><li>Monitor system performance, troubleshoot issues, and optimize infrastructure for cost and performance.</li><li>Mentor junior DevOps engineers and provide guidance on best practices and emerging technologies.</li></ul> Requirements: <ul><li>Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.</li><li>Programming language experience in python, go, shell scripts.</li><li>5+ years of experience in DevOps or a related role.</li><li>Proficiency in cloud platforms such as AWS, Azure（prefer).</li><li>Strong experience with containerization and orchestration tools like Docker and Kubernetes.</li><li>Solid understanding of CI/CD tools such as Jenkins, Azure Pipeline.</li><li>Familiarity with infrastructure as code tools like Terraform or Ansible.</li><li>Familiarity with GitOps</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 cross-functional teams.</li></ul>

Responsibilities: <ul><li>Define and drive the data engineering strategy and roadmap.</li><li>Ensure code quality and best practices (e.g., modularity, reusability, scalability, and testability).</li><li>Review code and mentor engineers on data engineering best practices.</li><li>Optimize data workflows for performance, reliability, and cost.</li><li>Design and implement data lake/warehouse architectures.</li><li>Work closely with data scientists, analysts, product managers, and business stakeholders to define data needs.</li><li>Implement data quality checks and observability tools.</li></ul> Requirements: Experience: <ul><li>10+ years of experience in data engineering with a proven track record of delivering large-scale data solutions.</li><li>Strong expertise in Snowflake, Advanced SQL, GBI ETL framework, and Python.</li><li>Hands-on experience in designing and implementing data pipelines, data integration, and data warehousing solutions.</li><li>Fluency in English and Mandarin (both spoken and written), enabling effective communication with global stakeholders.</li><li>Prior experience in stakeholder management, including requirements gathering, design playback, and presentations.</li><li>Familiarity with cloud platforms such as AWS, Azure, or Google Cloud.</li><li>Strong problem-solving skills and the ability to think critically about data architecture and process optimization.</li></ul> Educational Qualification: <ul><li>Bachelor’s degree in computer science, Information Technology, Software Engineering, or a related field.</li><li>Advanced degree in Computer Science, Data Engineering, or a related field.</li><li>Certifications in Snowflake or data engineering tools are a plus.</li></ul>

Role Description: <ul><li>The Electronic and Sensor Integration Team Manager will report to the product development team for cold applied products, part of Energy Business unit.</li><li>S/he will lead &amp; be responsible for managing a team working on new product development (NPD), value analysis and value engineering (VA/VE) and sustaining projects as well as perform management duties.</li><li>This role will require strong leadership skills and demonstrated product development experience in a global technology company to drive success for the Energy BU by leading his/her team to develop best-in-class engineering solutions for our customers.</li></ul> Responsibilities: <ul><li>Manage and drive the Electronic and Sensor Integration Team.</li><li>Demonstrate technical leadership. Provide technical solutions and break through ideas.</li><li>Guide the development of complex electronic systems, including analog and digital circuits.</li><li>Oversee the implementation of emerging technologies such as IoT, AI, and machine learning in electronic products.</li><li>Ensure adherence to industry standards (e.g., IEEE, IPC) and regulatory requirements (e.g., FCC, CE).</li><li>Perform resource planning and prioritization for required activities.</li><li>Accountable for delivering NPD projects on-time and on-budget.</li><li>Collaborate with product managers, mechanical teams, software developers, and system architects to integrate electronics into end products.</li></ul> Requirements: <ul><li>Graduate or postgraduate (BE or M.Tech) in Electronics engineering or related engineering discipline.</li><li>12+ years of engineering experience and with more than 5 years of experience in supervising and leading engineering team.</li><li>Experience in developing and industrializing electronic and sensor products, preferably associated with Energy market.</li><li>Excellent in people and resource management.</li></ul>

Responsibilities: <ul><li>Develop detailed test plans based on project requirements and specifications.&nbsp;</li><li>Provide feedback on quality standards, usability, and areas for improvement.</li><li>Automates test scenarios and expected outcomes.&nbsp;</li><li>Conduct regression, integration, user acceptance, and performance testing.</li><li>Conducts comprehensive testing and risk-based assessments of the testing objects.&nbsp;</li><li>He/She uses source documentation as input and contributes to the planning and implementation of testing activities.&nbsp;</li><li>Leads testing components of large and complex projects, assigns tasks, provides direction to resources, and reports progress to project stakeholders.&nbsp;</li><li>He/She creates and selects tools and methodologies for review and approval by management.</li></ul> ﻿Requirements: <ul><li>Bachelors Degree or International equivalent&nbsp;</li><li>Bachelors Degree or International equivalent in Computer Science, Information Systems, Mathematics, Statistics or related field - Preferred&nbsp;</li><li>comprehensive knowledge of technical skills, principles, practices, and procedures of testing methodologies and working knowledge in planning, designing, and conducting QA reviews and inspections.&nbsp;</li><li>He/She provides expertise for key business functions and supporting technologies.&nbsp;</li><li>Provides mentorship and expertise in technologies and processes for Information Services Management (ISM) and Quality Assurance (QA).&nbsp;</li><li>He/She maintains an awareness of emerging technologies to ensure a competitive advantage.</li><li>Experience with both web and client/server based testing</li><li>Minimum 8 Years of Relevant Experience in IT Test Automation.</li><li>Should have strong Mainframe testing [CICS, JCL, DB2, Cobol]</li><li>Must be able to test and debug batch jobs (JCL).</li><li>Must be able to perform backend testing by executing SQL queries.</li><li>Expertise in APIs &amp; Web Services testing</li><li>Hands-on experience in Selenium, TestNG and Cucumber frameworks</li><li>Good in test execution reporting skills</li><li>Expertise in Test Cases Design and Test Data management</li><li>Expertise in tools like PostMan, SOAP UI, WinSCP, Oracle, Jenkins, GitHub and AppDynamics.</li><li>Should be well versed with Agile testing and Continuous Testing</li><li>Experience with Test Management tools</li><li>Knowledge on AZURE DEVOPS&nbsp;</li><li>Understanding of SAFe Agile methodologies</li><li>Should be solution-oriented and have problem solving aptitude</li><li>Should have excellent communication and presentation skills</li><li>Knowledge on Logistics domain will be an advantage</li><li>Good to have Performance Testing experience.</li><li>Knowledge on JMeter / Performance center will be an advantage.</li><li>Any certifications in test automation</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: <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>

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18 azure iot hub Jobs found

EUC Consultant M365

Cyber Security Sales Specialist

Senior Devops Engineer

Senior Data Engineer (Python)

Technical Lead - Data Engineering

Manager I R&D/Product DVL Engineering - Electronic and Sensor Integration

QA Tester

Senior Data Scientist II

Consulting Azure Cloud Engineer

Consulting Principal AWS Cloud Engineer

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18 azure iot hub Jobs found

EUC Consultant M365

Cyber Security Sales Specialist

Senior Devops Engineer

Senior Data Engineer (Python)

Technical Lead - Data Engineering

Manager I R&D/Product DVL Engineering - Electronic and Sensor Integration

QA Tester

Senior Data Scientist II

Consulting Azure Cloud Engineer

Consulting Principal AWS Cloud Engineer

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

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