Top Tech Jobs & Startup Jobs

Design, develop, and operate cloud-based services for large-scale data management. Build full-stack features using .NET/C#, React, JavaScript, and SQL; maintain integrations; execute production migrations; apply Azure cloud-native architecture; manage CI/CD pipelines; monitor system health; remediate vulnerabilities; participate in on-call incident response; and collaborate cross-functionally on sprint commitments.

Build high-quality, scalable, maintainable software with a small engineering team. Coach client teams on modern development practices, use test-driven development, and continuously develop technical skills through training and learning opportunities. The role is designed for a software engineer with React and Node.js expertise and at least three years of experience, with remote work flexibility.

Leads a frontline customer support team serving users of Interwell Acumen and related healthcare programs. Responsibilities include coaching Support Analysts, managing schedules and ticket queues, monitoring SLAs and performance metrics, coordinating escalations, maintaining documentation and SOPs, improving workflows, overseeing quality reviews, and handling complex customer issues. The manager partners with Epic Applications, Product, Development, Training, Customer Success Operations, and Account Management to improve support delivery, team readiness, and customer experience.

Assist audit engagements by understanding client businesses, assessing risks and internal controls, performing substantive and control testing, resolving accounting issues, and drafting financial statements. Interns work with multiple clients and teams across industries while developing proficiency in RSM’s audit methodology and tools.

Provides part-time administrative and customer service support for plant operations. Responsibilities include welcoming visitors, managing mail and deliveries, scanning and retaining records, maintaining physical and electronic files, entering data, preparing documents, and supporting facility operations and human resources. The role requires strong organization, attention to detail, interpersonal skills, and proficiency with Microsoft Office tools.

Leads ADT’s AI and machine learning organization, managing data scientists and machine learning engineers. Defines and executes the AI/ML roadmap, oversees production-grade model development, promotes scalable data pipelines and MLOps, and partners with executive and cross-functional stakeholders. The role requires technical leadership in statistical modeling, experimentation, and machine learning, along with mentorship, executive communication, and delivery of measurable business value through predictive products.

Design and deploy scalable, low-latency machine learning systems, including training, inference, and production infrastructure. Integrate LLMs and traditional or specialized models for NLP, speech, forecasting, and recommendations. Optimize real-time ML pipelines, implement MLOps and reinforcement-learning systems, and collaborate with engineering, product, infrastructure, data science, customers, and partners. The role requires strong Python development, cloud, microservices, messaging, serverless, database, testing, and deployment expertise.

Develops and improves end-to-end software solutions in an Agile environment, from technical vision through production. Analyzes business needs, architecture, operating environments, and future enhancements while collaborating with development teams to create client-focused systems. The role involves learning new tools, identifying system improvements, and applying software development lifecycle practices.

Serve as a branch-based customer consultant: quote, sell, and fulfill equipment rentals and services; establish new accounts; negotiate pricing; dispatch deliveries; generate leads and warm-call dormant accounts; maintain showroom and handle contracts, reservations, and customer expectations.

Administers and supports Salesforce by gathering requirements, configuring objects, workflows, reports, dashboards, automations, profiles, and sandboxes. Supports integrations, data exchange, testing, data quality, cleanup, troubleshooting, and maintenance. Provides end-user support and training while monitoring user adoption and translating business needs into Salesforce solutions.