Cloud Engineer

Senior Digital Marketing Analyst/ABM Lead

Senior Manager Data Science

Solutions Engineer - AI Infrastructure

Solutions Engineer, Cybersecurity

Senior Data Scientist II

Account Executive-Cloud and AI

Partner Account Manager

Java Tech Lead/Architect

Site Reliability Engineer (Observability)

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>

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>

Responsibilities: <ul><li>Manage a team of data scientists and engineers to design, develop, and deploy advanced AI solutions</li><li>Lead the development of AI and machine learning models to solve business problems</li><li>Research, build, and deploy models based on shallow and deep machine learning</li><li>Train robust NLP-based models on large datasets</li><li>Collaborate with cross-functional teams to align AI solutions with business goals and customer needs</li><li>Design APIs for disseminating data science outputs</li><li>Oversee the scaling of production systems to meet growing demands</li></ul> Requirements: <ul><li>Deep understanding of machine learning algorithms, including deep learning, gradient boosting, and random forests.</li><li>Experience working directly with large language models and Transformer based architectures including BERT, RoBERTa, T5 etc.</li><li>Working knowledge of applying recent LLMs including ChatGPT, GPT 3.5, OPT, BLOOM, etc.</li><li>Experience with reinforcement learning, prompt engineering, hallucination mitigation.</li><li>Working understanding of the business risks associated with applying LLM in a business.</li><li>Experience working with large datasets and distributed computing systems (e.g., Hadoop, Spark).</li><li>Strong coding skills in Python or another programming language.</li><li>Excellent communicator, with the ability to translate complex technical concepts to non-technical stakeholders.</li><li>Strong problem-solving skills and the ability to think outside the box. </li></ul>

Responsibilities:&nbsp; <ul><li>You will build awareness, fostering education and driving energy for AI with both internal and external team members, partners, etc.&nbsp;</li><li>You will also act as a link between technical teams, account teams, executives, partners/customers.&nbsp;</li><li>In addition, you will show case AI solutions/products, its potential and promote its tactical and technical responsibilities.&nbsp;</li><li>You will play an important role in the design, development and promotion of AI Solutions and address challenges.&nbsp;</li><li>You will need to travel as needed to meet with clients and attend industry events.</li></ul> Requirements: <ul><li>The role requires at least 10 years of experience in spirits sales and distributor management</li><li>Solid experience within the Hong Kong market is a must.</li><li>FMCG background, on / off premise, outlet management is a must</li></ul>

Responsibilities: Technical Expertise: <ul><li>Demonstrate a deep understanding of cybersecurity principles, industry trends, and best practices.</li><li>Use your knowledge to clearly convey the value and capabilities of our cybersecurity solutions to potential customers. </li><li>It should be wide-ranging across technology stacks including networking, cloud, and application infrastructures as well as having a good understanding of the cybersecurity vendor landscape.</li></ul> Solution Presentations: <ul><li>Collaborating with the sales team to deliver compelling presentations and demonstrations of our cybersecurity offerings.</li><li>Tailor your presentations to address the specific needs and challenges faced by our diverse customers, ensuring that our solutions align with their requirements.</li></ul> Relationship Building: <ul><li>Establishing deep relationships with prospective customers, including key partners and decision-makers.</li><li>Actively listen to their concerns, understand their goals, and provide personalised solutions that promote diversity and inclusivity within their cybersecurity strategies.</li></ul> Requirements Gathering: <ul><li>Conducting detailed assessments of customer needs, challenges, and existing cybersecurity frameworks.</li><li>Work closely with customers to identify areas for improvement, highlight potential risks, and propose tailored solutions that address their specific requirements.</li></ul> Teamwork <ul><li>Collaborating with cross-functional teams, including product management, engineering, and marketing, to provide input on product development, market trends, and customer feedback.</li><li>Contribute to a culture of diversity and inclusion within our organization, promoting equal opportunities for all.</li></ul> Requirements: <ul><li>Excellent understanding of cybersecurity concepts (ex. NG Firewall, NG IPS, ZeroTrust, etc.), technologies, and best practice</li><li>Consistent track record in a pre-sales or technical sales role within the cybersecurity industry</li><li>Bachelor’s degree or equivalent experience in Cybersecurity, Computer Science, or a related field is highly preferred</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>

Job Description: <ul><li>As Sales Specialist you will join the DC CAI architecture sales team in India to manage some of the largest account.&nbsp;</li><li>Your primary focus will be to drive growth of CAI in the Enterprise Segment &amp; create thought with customers and partners in India to drive multi-cloud portfolio.&nbsp;</li><li>In this capacity you will have to collaborate with the global, APJ regional teams as well as work closely with the India sales and partner teams.</li></ul> Responsibilities: Sales Strategy &amp; Execution: <ul><li>Define, develop, and manage the go-to-market and sales strategy for the Cisco CAI Multi-Cloud portfolio,&nbsp;</li></ul> including: <ul><li>HyperFlex (HX)</li><li>Cisco Networking &amp; ACI</li><li>Cloud Management, Orchestration Software &amp; Analytics Ensure alignment with Cisco’s broader business goals and financial targets.</li></ul> Cross-Functional Collaboration: <ul><li>Partner closely with internal teams—including product sales specialists, regional sales, and account teams—to ensure successful strategy implementation and field execution.</li><li>Partner Ecosystem Development</li><li>Build and enable a strong partner ecosystem</li><li>Collaborating with existing partners and identifying new partner types aligned with emerging customer needs.</li><li>Driving joint go-to-market initiatives and partner enablement programs.</li></ul> Customer Focus – India Market: <ul><li>Engage directly with key Indian customers to position Cisco as the preferred technology partner for their cloud and digital transformation initiatives.</li><li>Champion a customer-first mindset to tailor solutions and drive adoption.</li></ul> Market Intelligence &amp; Pipeline Development: <ul><li>Anticipate market trends, customer requirements, and competitive dynamics to shape the future pipeline and evolve the sales strategy accordingly.</li></ul> Requirements: <ul><li>12+ years of DC solutions experience in an IT sales organization that includes selling products such as servers, hyper converged solutions, DC Networking products, Cloud technologies, DC Software etc.</li><li>Experience in building a business around Cloud solutions &amp; Data center switching portfolio</li><li>Positive relationships with SIs &amp; Customers in India</li><li>In depth understanding of DC Trends and evolution strategic mindset with a proven ability to drive sales initiatives in complex, multi-stakeholder environments.</li><li>Strong understanding of cloud infrastructure, software-defined networking, and cloud management platforms.</li><li>Experience working in or with the Indian enterprise technology market.</li><li>Ability to influence across organizational boundaries and at executive levels.</li><li>Excellent communication and relationship-building skills—both internally and external</li></ul>

Role Description: <ul><li>Join our dynamic Channel Sales team, where we develop and manage strategic partnerships with leading industrial automation companies.</li><li>Our mission is to drive IT infrastructure sales through collaboration and innovation.</li></ul> Responsibilities: <ul><li>As a Channel Sales Manager, you will play a crucial role in expanding our market reach by building relationships and negotiating agreements with key Industrial partners.</li><li>Your efforts will directly contribute to our growth in the manufacturing and automation sectors.</li><li>Develop and execute channel sales strategies to maximize revenue.</li><li>Act as the primary liaison between our company and strategic partners.</li><li>Drive sales of IT infrastructure solutions through channel partners.</li><li>Collaborate with internal teams to develop joint go-to-market strategies.</li><li>Track partner sales performance and regularly report on KPIs.</li></ul> Requirements: <ul><li>10+ years of experience in channel sales, partner sales, or business development.</li><li>Proven track record in selling IT infrastructure solutions.</li><li>Industry knowledge of industrial automation and manufacturing.</li><li>Strong negotiation and relationship-building skills.</li><li>Willingness to travel as needed.</li><li>Existing relationships with Industrial Automation companies</li><li>Understanding of Industry 4.0 and industrial cybersecurity.</li><li>Experience with reseller, VAR, or OEM agreements.</li><li>Technical certifications in networking, cloud, or cybersecurity.</li><li>Strong communication and problem-solving skills.</li></ul>

Responsibilities: <ul><li>Own the Cloud based Secure Connectivity and network management platform architecture.</li><li>Use tools and methodologies to create representations for functions and user interface of desired product</li><li>Develop high-level product specifications with attention to system integration and feasibility</li><li>Define all aspects of development from appropriate technology and workflow to coding standards</li><li>Successfully communicate all concepts and guidelines to development team</li><li>Oversee progress of development team to ensure consistency with initial design</li><li>Provide technical guidance and coaching to developers and engineers</li><li>Ensure software meets all requirements of quality, security, modifiability, extensibility etc.</li><li>Approve final product before launch</li></ul> Requirements: <ul><li>8+ years of experience in VPN ,Network management software system design.</li><li>Proficient in Java,J2EE, Microservices, Spring and SpringBoot framework.</li><li>Experienced in network engineering with strong understanding on IP addressing, routing, firewall, ACLs, NATs &amp;PATs, VLANs, etc.</li><li>Knowledge on VPN solutions e.g.,SoftEther, Wireguard, IPSEC.</li><li>Must have experience on Cloud based multi-tenant networking solutions design.</li><li>Hands-on knowledge on Docker Networking and Containerization framework.</li></ul>

Responsibilities: <ul><li>Deploy and manage Observability platforms and agents for ingesting metrics, logs, and traces from various sources.</li><li>Parse and organize logs to extract relevant fields and data for processing and filtering.</li><li>Assist developers in instrumenting application code to collect custom Application Performance Monitoring (APM) data.</li><li>Record, script, and manage synthetic monitors for testing purposes.</li><li>Capture user sessions and data for real user monitoring (RUM).</li><li>Set up alerts and notifications for proactive monitoring.</li><li>Generate dashboards, visualizations, and reports to provide actionable insights.</li><li>Participate in and support root cause analysis (RCA) and application/service profiling sessions.</li><li>Educate and assist teams in leveraging observability tools effectively.</li></ul> Requirements: <ul><li>Diploma or Degree in Computer Science, Information Technology, or related disciplines.</li><li>At least 2-5 years of experience working with modern observability platforms.</li><li>Familiarity with observability concepts and standards such as OpenTelemetry.</li><li>Experience with observability tools like the Elastic Stack for monitoring cloud infrastructure and application performance.</li><li>Knowledge of developing, instrumenting, and profiling applications to enhance performance and reliability.</li></ul>

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39 cloud computing Jobs found

Cloud Engineer

Senior Digital Marketing Analyst/ABM Lead

Senior Manager Data Science

Solutions Engineer - AI Infrastructure

Solutions Engineer, Cybersecurity

Senior Data Scientist II

Account Executive-Cloud and AI

Partner Account Manager

Java Tech Lead/Architect

Site Reliability Engineer (Observability)

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39 cloud computing Jobs found

Cloud Engineer

Senior Digital Marketing Analyst/ABM Lead

Senior Manager Data Science

Solutions Engineer - AI Infrastructure

Solutions Engineer, Cybersecurity

Senior Data Scientist II

Account Executive-Cloud and AI

Partner Account Manager

Java Tech Lead/Architect

Site Reliability Engineer (Observability)

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

EMPLOYER

TALENT

COMPANY

Contact Us

JOBS BY SKILLS

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