Senior Developer (IBM Maximo)

Continuous Improvement Analyst

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

Responsibilities: <ul><li>As Sr Developer, responsible for contribution to technical Solution Design, carry out Development independently, Testing of Maximo 7.6 with Utility, ACM or other Maximo Addons or Industry solution.</li><li>Application design, Automation scripts using Python/Java scripts, Complex maximo configurations.</li></ul> Requirements: Major Requirements: <ul><li>Experience with object-oriented programming languages such as Java and C++.</li><li>Deep knowledge of Java programming and related technologies.</li><li>Experience in JSON, XML, XML parsers, and XSL.</li><li>Experience in ETL, Master Data Load and Data Handling (Extraction/Transformation/ Manipulation).</li><li>Experience working with Oracle, DB2 and SQL Server databases: database sizing, troubleshooting, and performance tuning.</li><li>Configuration of Web Server Application like WebLogic/WebSphere.</li></ul> Skills and Requirements: <ul><li>At least 4 years of experience in Configuration &amp; Integration, Support and Maintenance in IBM Maximo v7.x.</li><li>Hand on experience on Following:</li><li>Extensive experience on Rest and Jason based integration.</li><li>Middleware integrations ex – Mulesoft, SAP PI.</li><li>Maximo migration experience with release and deployment management activities.</li><li>Data migration experience informatica and MIF framework.</li><li>Experience in Data modeling for BI reporting and hands on BIRT experience.</li><li>Expertise &amp; working knowledge in Maximo Asset Management (Solution design, development and implementation).</li><li>Working knowledge of capabilities in the IBM Maximo EAM/APM solution and Maximo Integration Framework.</li></ul> Qualifications: <ul><li>Bachelor’s degree or foreign equivalent required from an accredited institution.</li><li>Will also consider three years of progressive experience in the specialty in lieu of every year of education.</li><li>At least 4 years of Relevant Information Technology experience.</li></ul>

Responsibilities: Digital Factory Corporate Application Deployment: <ul><li>Responsible for the implementation and deployment of corporate-developed applications within factory settings, ensuring seamless integration and operation.</li><li>Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions.</li><li>Continuously improve and optimize the performance of applications based on user feedback and system analytics.</li></ul> Digital Factory Local Application Development: <ul><li>Design, develop, and maintain digital factory applications that improve operational efficiency and support business growth within our manufacturing facilities.</li><li>Collaborate with cross-functional teams to understand and translate business requirements into technical solutions that drive process optimization and innovation.</li></ul> AI Model Development: <ul><li>Seamless collaboration with corporate AI teams to design and develop advanced AI models and tailored to specific business problems or application requirements.</li><li>Conduct research on the latest AI techniques and algorithms to continuously improve the performance and accuracy of existing models.</li></ul> AI Model Deployment and Maintenance: <ul><li>Oversee the deployment of AI models from development environments to production environments, ensuring a smooth transition and minimal disruption to business operations.</li><li>Set up monitoring and alert systems to detect and respond to any issues that may arise during the operation of the AI systems.</li><li>Provide ongoing maintenance and support for deployed AI models, including updating and retraining as needed to adapt to changing business conditions or data characteristics.</li></ul> Collaboration and Communication: <ul><li>Work closely with cross-functional teams including data scientists, software engineers, product managers, and domain experts to define project requirements and deliverables.</li><li>Communicate technical findings and progress to non-technical stakeholders in a clear and understandable manner.</li><li>Participate in team meetings, code reviews, and knowledge sharing sessions to contribute to the overall team development.</li></ul> Requirements: <ul><li>Total experience – 5+ years</li><li>On manufacturing digitalization, IT understandable, know basic of programming, system migration, IT related candidate in manufacturing engineering.</li><li>Cover both plant</li><li>Mandarin Speaking requirements is a must</li><li>Good to come from engineering background</li></ul>

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>

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39 cloud migration Jobs found

Senior Developer (IBM Maximo)

Continuous Improvement Analyst

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

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39 cloud migration Jobs found

Senior Developer (IBM Maximo)

Continuous Improvement Analyst

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

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

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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.