Total 3 Supply Chain Engineer job vacancies in The United States of America

Responsibilities: Lead the design, implementation, and delivery of Network Infrastructure solutions. Install, configure, and maintain network and related technology infrastructure in line with Company standards. Collaborate with Project Managers and Digital team members to ensure successful technology solution implementations. Contribute to the development of Network Infrastructure roadmaps and assess emerging technologies and services. Facilitate seamless handovers of solutions to Operational Teams. Provide Level 3 Network Support and troubleshoot issues effectively. Requirements: Bachelor's degree in IT or equivalent. Solid knowledge and hands-on experience with Network Technologies (Cisco, H3C, Fortigate, Huawei). Expertise in network routing and switching. Advanced understanding of IPSEC, MPLS, VPN, SDWAN, and QoS. Excellent familiarity with firewalls, voice, and wireless technologies. Proven experience in designing and implementing end-to-end network solutions, including fiber physical cable systems. Willingness to travel across Asia (30-40%). Strong analytical and problem-solving skills. Effective communication with both technical and non-technical personnel, both verbally and in writing. To apply, please email your resume to andrew@nlsearch.asia. Thank you for considering this exciting opportunity.

Key Responsibilities: Collaborate with the team to architect and deploy Workspace technology solutions aligned with organizational goals. Serve as a subject matter expert for VDI, XenApp, IGEL, and Netscaler technologies. Take ownership of building and deploying new Workspace technologies in the APAC region. Manage assigned projects, working closely with support teams to ensure timely delivery. Efficiently troubleshoot and prioritize issues, driving a culture of root cause analysis. Work independently and as part of a team to resolve escalated Tier II issues. Assist in the day-to-day operations of Workspace technologies, collaborating with support teams and driving problem resolution. Evaluate emerging technologies and trends to keep the organization technologically competitive. Continuously update documentation and knowledge base articles. Facilitate cross-training on Workspace Technologies within the team. Support application maintenance and development activities for Citrix infrastructure in a global 24/7 environment. Establish and maintain vendor relationships, including conducting vendor review and analysis. Participate in after-hours support rotation and implementation when required. Requirements: Bachelor's degree in Computer Science, Information Technology, or a related field. Minimum 5 years of experience in VDI engineering. Extensive knowledge of Netscaler, including build, design, and troubleshooting. Strong understanding of ADM and its integration with Netscaler. Proficiency in GSLB, load balancing, SSL certs, and other standard Netscaler features. Strong knowledge of Azure virtual desktop services and related technologies. Preferred experience with Windows 365 (CloudPC) and Citrix Access Gateway. Expertise in Citrix Virtual Apps and Desktops, both on-premises and in Citrix Cloud. Proficiency in scripting and automation using tools like Service Now, UIPath, Power Automate, and PowerShell. Deep understanding of Active Directory, group policies, OUs, and DNS. Proven ability to troubleshoot L3/L2/L1 issues and handle single-user problems. Deep knowledge of VMware and Nutanix. Experience with supporting and integrating Citrix infrastructure components like FAS, Cloud connectors, and Storefront. Experience integrating Citrix with AWS and Azure. Experience in building, deploying, and maintaining thin clients using IGEL. Familiarity with migration to and from Citrix Cloud. Familiarity with advanced features such as firewall, EPA, and network design principles. Excellent communication skills, fluent in English, and preferably Cantonese and Mandarin. Strong interpersonal skills, including networking, collaboration, communication, time management, and adaptability. Team player with a willingness to contribute to projects of all sizes. To apply, email andrew@nlsearch.asia. Thank you.

My client, a leading hedge fund in Hong Kong with global presence, is actively seeking a talented and innovative Data Engineer to join their team. As a key member of the team, you will leverage advanced analytics techniques and machine learning algorithms to extract valuable insights from complex financial data. Your expertise will contribute to the enhancement of their proprietary investment tool and the optimization of portfolio performance. Responsibilities: Data Processing and Integration: Collect, cleanse, and preprocess financial data from diverse sources, including market data feeds, economic indicators, and company filings, using AWS Glue (Python, SQL, PySpark). Develop robust data pipelines and frameworks to ensure efficient data processing and integration for analysis and model development. Data Analysis and Modeling: Apply statistical analysis, data mining, and machine learning techniques to uncover meaningful patterns and relationships within extensive financial datasets. Quantitative Research: Conduct research and develop innovative quantitative models and strategies to enhance investment performance. Collaborate closely with portfolio managers and research analysts to identify and validate new data sources, refine investment hypotheses, and improve investment decision-making processes. Communication and Collaboration: Effectively communicate complex quantitative concepts and findings to non-technical stakeholders, including portfolio managers, senior management, and clients. Collaborate with cross-functional teams to drive data-driven decision-making and ensure alignment between quantitative research and investment strategies. Requirements: 3+ years of experience in a data engineering role  Master's degree in a quantitative field such as Mathematics, Statistics, Computer Science, or a related discipline. Strong proficiency in statistical analysis, machine learning, and data visualization techniques. Experience with Python, SQL, Spark, and AWS services such as Glue, Data lake, Delta lake, Lambda, SNS, QuickSight, CloudFormation, IAM, CodeCommit, Git, and Code Pipeline. Solid understanding of financial markets, investment strategies, and risk management principles. Experience working with extensive financial datasets, including market data, economic indicators, and alternative data sources. Strong problem-solving skills, with the ability to think critically and develop innovative solutions to complex problems. Excellent written and verbal communication skills, with the ability to articulate technical concepts to non-technical stakeholders effectively. Strong attention to detail and accuracy, with the ability to manage multiple projects and meet deadlines in a fast-paced environment. Ability to work both independently and collaboratively in a team-oriented setting. Incentives:  Competitive remuneration & benefits  Opportunity to join a reputable hedge fund If this opportunity interests you, kindly send your CV (word format) to jobs@nlsearch.asia.