Account Executive, AI

Sr Engineer – Identity & Consent

Cyber Security Sales Specialist

Senior Devops Engineer

Pricing Analyst

AI/ ML Engineer

Senior Data Engineer (Python)

Technical Lead - Data Engineering

Senior Proactive Engineer

Senior Digital Marketing Analyst/ABM Lead

Responsibilities: Sales Strategy &amp; Business Development: <ul><li>Lead and manage end-to-end AI infrastructure sales cycles across assigned accounts and regions.</li><li>Identify, develop, and convert high-potential opportunities aligned with Cloud &amp; AI infrastructure offerings.</li><li>Build and implement strategic account plans to ensure long-term revenue growth and customer success.</li></ul> Customer Engagement: <ul><li>Act as a strategic advisor to enterprise customers, understanding their business objectives and aligning solutions to address their challenges.</li><li>Establish and nurture relationships with C-level executives and key technology influencers.</li><li>Position as a leader in AI infrastructure and next-generation data centre solutions.</li></ul> Cross-Functional Collaboration: <ul><li>Partner with internal teams including Presales, Engineering, Marketing, Channel Partners, and Customer Success to deliver tailored, end-to-end solutions.</li><li>Collaborate with technology ecosystem and alliances to expand solution reach and customer value.</li></ul> Technical &amp; Market Expertise: <ul><li>Maintain in-depth knowledge of data centre and AI infrastructure technologies (compute, GPU, storage, networking, cloud).</li><li>Stay current with emerging trends in deep learning, AI, and scalable infrastructure.</li><li>Monitor competitive activity and provide strategic insights to internal stakeholders.</li></ul> Revenue &amp; Pipeline Management: <ul><li>Meet and exceed quarterly and annual sales targets through disciplined pipeline management and strategic deal execution.</li><li>Leverage CRM tools (e.g., Salesforce) for accurate forecasting, opportunity tracking, and stakeholder visibility.</li></ul> Thought Leadership &amp; Enablement: <ul><li>Represent at customer briefings, industry events, and executive roundtables as a subject matter expert in AI Infrastructure.</li><li>Contribute to go-to-market strategies, customer enablement initiatives, and the launch of new data centre solutions.</li></ul> ﻿Requirements: <ul><li>Experience: Minimum 7+ years in technology sales or account management, ideally in enterprise or data centre segments.</li><li>Sales Expertise: Demonstrated success in selling complex infrastructure solutions, particularly related to AI, data centre, or hybrid cloud environments.</li><li>Business Growth: Proven ability to drive revenue through innovative, technology-led solution selling and market development.</li><li>Technical Understanding: Solid grasp of modern data centre architecture, including compute, storage, networking, AI workloads, and cloud integration.</li><li>Relationship Management: Track record of building and maintaining strategic customer and partner relationships, particularly at the executive level.</li><li>Communication: Excellent presentation, communication, and interpersonal skills.</li></ul>

﻿Responsibilities: <ul><li>Lead the design, implementation, and optimization of our CIAM platform using SAP CDC across multiple brands, regions, and touchpoints.</li><li>Manage identity lifecycle workflows including registration, authentication, progressive profiling, and consent management.</li><li>Ensure integration of SAP CDC with core systems such as CDP, CRM, eCommerce platforms, Consumer Portals, and Marketing Automation tools.</li><li>Define and maintain secure authentication standards (e.g., SSO, OAuth 2.0, OpenID Connect, MFA) and drive their adoption across internal teams and external partners.</li><li>Collaborate with Legal, Security, and Data Privacy teams to ensure global compliance with regulations like GDPR, CCPA, and local privacy laws.</li><li>Work closely with engineering and product teams to deliver scalable APIs and SDK implementations across web and mobile platforms.</li><li>Proactively monitor system performance, manage incidents, and optimize for reliability, scalability, and performance.</li><li>Stay up to date with emerging trends in CIAM, identity federation, and zero-trust architecture to evolve our digital foundation.</li></ul> Requirements: <ul><li>Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.</li><li>6+ years of hands-on experience in identity engineering, DevSecOps, or CIAM implementations.</li><li>Deep technical knowledge of SAP Customer Data Cloud (f.k.a. Gigya) including schema modeling, screen sets, policies, and identity sync.</li><li>Strong understanding of IAM protocols (OAuth 2.0, SAML, OpenID Connect) and API security.</li><li>Experience integrating CIAM platforms with downstream systems via REST APIs, event-based messaging, and standard connectors.</li><li>Familiarity with consumer data platforms, marketing automation tools, and digital frontend environments.</li><li>Familiar with data privacy and consent frameworks (e.g., GDPR, CCPA), and their impact on customer data flows.</li><li>Excellent communication and collaboration skills across cross-functional and distributed teams.</li><li>Experience working in Agile/Scrum environments, with a proactive mindset for innovation and continuous improvement.</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>Designs, implements, maintains, and troubleshoots company Pricing applications (PriceFx), while adapting to changing priorities.</li><li>Leads complex projects including the design, specifications, and implementation of new capabilities.</li><li>Hands-on development and configuration of PriceFx to create critical solutions.</li><li>Provides day-to-day application support: Address broke/fix, provide consultation, investigate data issues.</li><li>Interact with other functional areas (i.e., Demand Planning, Finance, Supply Chain, Sales, etc.) to understand upstream and downstream impacts.</li><li>Provides input into cloud-based solutions as required to meet changing business needs.</li><li>Interacts with vendors and service providers to understand the relationship, troubleshooting issues, ensures adequate support levels are in place, and evaluates new cloud services and frameworks.</li><li>Work closely with the Pricing Center of Excellence and Pricing Leaders (Directors and VPs) to understand needs and demands while creating designs and solutions resulting from their feedback.</li><li>Consistently evaluating Platform Releases to assess new functionality that can be leveraged to improve system usability and maturity.</li><li>Peer leadership by providing mentoring and training to other team members.</li></ul> Requirements: <ul><li>BS in Computer Science or related field with over 10 years of overall work experience in a global environment</li><li>Minimum of 5 years of experience with these skills to be applied with this role:</li><li>Required: PriceFx</li><li>Modules: Price Analyzer, Price Builder, Quote Configurator</li><li>Technologies: Git, Groovy, Java (or object oriented programming principles), APIs, relational databases, web technologies</li><li>Preferred: SAP, Salesforce CPQ</li><li>Familiarity with System Integrations</li><li>Including: Dell Boomi, Enosix, Salesforce Platform Events, and FTP</li><li>Business process analysis and problem-solving skills.</li></ul>

Responsibilities: <ul><li>Responsible for ensuring that ML models and pipelines are deployed successfully into production</li><li>Implementation of ML features for new and existing systems</li><li>Deploy applications to AWS cloud leveraging on the full spectrum of the AWS cloud services</li><li>Automate model training, testing and deployment using CI/CD</li><li>Understand and implement metrics to verify effectiveness and soundness of the ML model</li></ul> Requirements: <ul><li>Formal training in a quantitative discipline (e.g., statistics, operations research, economics, computer science, mathematics)</li><li>5 years of relevant work experience in data analysis, data science or related fields, with deep expertise in statistical data analysis</li><li>Experience with Python and related ML libraries (eg. Pandas, Pytorch)</li><li>Experience with database languages (e.g. SQL)</li><li>Experience working in a multi-disciplinary team of data scientists, software engineers, product managers and subject domain experts</li><li>Experience in Agile working environment</li></ul> Preferred requirements: <ul><li>Experience with AWS cloud services like AWS Textract and Comprehend is preferred</li><li>Experience with Dagster/Airflow is preferred</li><li>Experience in MLOps</li><li>Experience in delivering Natural language processing (NLP) products</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>

Responsibilities: <ul><li>Analyze DEX tool data to identify trends, predict issues, and propose proactive interventions to enhance employee digital experience.</li><li>Develop, test, and maintain scripts and tools using PowerShell and Python to automate repetitive tasks and improve system performance.</li><li>Work with data warehouses like Redshift and analytics platforms such as Databricks. Use SQL or another programming language to work with databases and create dashboards to extract insights and develop actionable recommendations.</li><li>Develop dashboards and reporting tools using SysTrack and Microsoft Power BI to provide visibility into key performance metrics.</li><li>Collaborate with IT Service Desk and Desktop Support Teams to identify opportunities for automation and efficiency improvements.</li><li>Proactively engage with stakeholders to understand business requirements and translate them into technical solutions.</li><li>Design and implement innovative ideas to enhance customer service and reduce the mean time to resolution (MTTR).</li><li>Act as a consultant to various teams, providing technical expertise in the use of DEX tools and scripting languages.</li><li>Lead initiatives to integrate new technologies or methodologies that improve the IT environment and employee satisfaction.</li><li>Conduct Root Cause Analysis (RCA) on recurring issues and propose permanent solutions.</li><li>Engage with vendor support resources to resolve complex technical challenges and evaluate new technologies.</li><li>Work with APIs to integrate and enhance system capabilities, ensuring seamless interaction between tools and platforms.</li></ul> Requirements: <ul><li>Proficiency in DEX tools like SysTrack, Nexthink, or similar platforms.</li><li>Strong coding skills in PowerShell and Python.</li><li>Hands-on experience with data analytics platforms, such as Databricks, and data warehouses like Redshift. Proficiency in SQL as a programming language for working with databases and creating dashboards.</li><li>Expertise in Microsoft Power Apps and Power BI for data visualization and automation.</li><li>Experience in working with APIs for system integration and enhancements.</li><li>Deep understanding of IT environments, including endpoint devices, software, and cloud-based tools.</li><li>Ability to interpret data and provide actionable insights to improve digital employee experience.</li><li>Strong problem-solving skills, with experience conducting RCA and developing innovative solutions.</li><li>Demonstrated ability to identify and act on trends and opportunities in emerging technologies.</li><li>Knowledge of IT Service Management frameworks (e.g., ITIL) and their practical application.</li></ul>

Responsibilities: <ul><li>Develop ABM strategies and plans to drive awareness and engagement within target markets, delivering superior user experience to key customers.</li><li>Design &amp; implement tailored campaigns (email, social, content, paid ads) for targeted accounts.</li><li>Develop account-specific playbooks and messaging frameworks aligned with buyer journeys.</li><li>Partner with cross-functional (Sales, PM, Engineering) teams to ensure alignment between ABM/digital efforts and sales goals.</li><li>Deliver ABM insights actionable for online &amp; offline customer interactions based on an in-depth understanding of business and customer needs.</li><li>Manage website experience relevant to target customers and identify opportunities to improve navigation &amp; personalization experience for target customers.</li><li>Optimize workflows and tools (e.g., CRM integrations, automation platforms) to streamline ABM processes.</li><li>Stay ahead of ABM trends and emerging technologies, such as AI-driven personalization and predictive analytics.</li><li>Make recommendations on digital and ABM capabilities to enable the business unit to deliver an optimized and personalized customer experience across all channels.</li></ul> Requirements: Background &amp; Qualifications: <ul><li>Bachelor’s degree required.</li><li>Experience in digital marketing, including experience in Account-Based Marketing (ABM) within the B2B/SaaS, technology, or infrastructure industries (preferably in AI, cloud, data center companies, or ABM environments).</li><li>Experience with the whole process of an ABM/digital program from strategy, planning, execution, monitoring, measurement, and optimization.</li><li>Proficient in ABM platforms, CRM systems, data analysis (Adobe Analytics, Google Analytics), content publishing (AEM), and search and social media (Google Ads, LinkedIn, YouTube, Facebook, etc.). Proficient in MS Office.</li><li>Self-driven candidate who anticipates challenges, identifies opportunities for improvement, and initiates cross-functional partnerships to achieve goals without direct oversight.</li><li>Strong data-driven decision-making mindset, with expertise in understanding enterprise buyer cycles, account scoring, and lead nurturing.</li><li>Clear storyteller able to translate data into actionable recommendations for cross-functional tea</li><li>Strong project management skills.</li><li>Good understanding of B2B customer journey, with customer-centric mindset.</li><li>Excellent interpersonal, organizational, and leadership skills.</li><li>Experience with website design, ABM/Personalized experience preferred.</li></ul>

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29 cloud formation Jobs found

Account Executive, AI

Sr Engineer – Identity & Consent

Cyber Security Sales Specialist

Senior Devops Engineer

Pricing Analyst

AI/ ML Engineer

Senior Data Engineer (Python)

Technical Lead - Data Engineering

Senior Proactive Engineer

Senior Digital Marketing Analyst/ABM Lead

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29 cloud formation Jobs found

Account Executive, AI

Sr Engineer – Identity & Consent

Cyber Security Sales Specialist

Senior Devops Engineer

Pricing Analyst

AI/ ML Engineer

Senior Data Engineer (Python)

Technical Lead - Data Engineering

Senior Proactive Engineer

Senior Digital Marketing Analyst/ABM Lead

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

EMPLOYER

TALENT

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Contact Us

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