Top Tech Jobs & Startup Jobs

Designs, deploys, and optimizes machine learning and generative AI solutions in AWS cloud environments. Responsibilities include building data and model pipelines, preparing data, managing data lakes, integrating secure and governed AI architectures, testing and documenting workflows, and monitoring production models. The role requires Python, machine learning libraries, AWS SageMaker and data services, GenAI deployment experience, DevOps practices, infrastructure as code, and Agile collaboration.

Maintains customer and contract records in CRM and ERP systems, initiates billing, prepares accurate invoices, resolves billing inconsistencies, and supports sales and accounting teams. The role manages customer master data, processes sales orders, coordinates with internal stakeholders and an overseas shared-services accounting team, and helps improve billing processes and documentation. This is an evening-shift position requiring strong attention to detail, financial data skills, communication, and familiarity with accounts receivable or credit and collections.

Designs, develops, tests, troubleshoots, and supports enterprise applications across the full software development lifecycle. Builds Java backend applications, integrates Oracle and Progress databases, manages schema deployments with Liquibase, and contributes to AWS deployments. Participates in architecture decisions, API and service development, performance tuning, technical issue resolution, Agile collaboration, and production rollout support.

Provides technical support for computer hardware, software, operating systems, networks, applications, and peripherals. Installs, configures, maintains, upgrades, and troubleshoots IT systems; manages Microsoft Intune; documents technical procedures; trains end users; performs remote support; collaborates with IT teams and vendors; and ensures equipment complies with security and organizational policies.

Provides Tier 1 remote technical support by handling customer calls, emails, and alerts; documenting and routing tickets; monitoring infrastructure; troubleshooting basic issues; meeting SLA requirements; and escalating incidents. The role also maintains knowledge-base content, follows ITIL and customer procedures, communicates incident updates, collaborates with technical teams and vendors, and supports continuous service-desk improvement. Weekend, holiday, off-shift, and overtime availability may be required.

Design, implement, and operate enterprise-scale Windows and macOS lifecycle management using Jamf Pro and Intune. Own device enrollment, policy/configuration, patching, compliance monitoring, remediation workflows, Jamf-Intune integration, reporting, and endpoint security hygiene. Serve as customer-facing SME collaborating with senior engineers and delivery leads to drive device strategy and operational governance.

The Cloud Engineer manages IT infrastructure for Netrix and customers, focusing on administration, troubleshooting, and monitoring of servers and virtualization technologies while ensuring excellent customer interaction and documentation.

Designs, builds, deploys, and optimizes machine learning and generative AI solutions on AWS. Responsibilities include developing models with SageMaker, creating data and model pipelines, preparing data, managing data lakes, integrating secure cloud architectures, testing and documenting workflows, and monitoring production model performance. The role collaborates with data scientists and infrastructure teams and requires Python, machine learning libraries, AWS data services, DevOps tools, infrastructure as code, and Agile experience.

Enter, update, and validate customer quotes in the CRM with high accuracy. Verify source documents, correct basic discrepancies, follow SOPs, maintain electronic records, support operational workflows, and communicate with stakeholders to meet productivity, quality, and turnaround expectations.

The Cloud Engineer will design, deploy, and maintain VMware-based virtualized infrastructure. Responsibilities include troubleshooting, optimizing systems, collaborating on migrations, and ensuring services' reliability, security, and scalability.