Top Remote Entry Level Jobs in Las Vegas, NV

Deliver hands-on enterprise technology implementations using Red Hat solutions. Consultants collaborate with project teams, translate stakeholder needs into technical solutions, maintain project documentation, support scalable infrastructure, mentor others, and develop expertise in Linux, Kubernetes, cloud, virtualization, automation, and OpenShift. The role includes intensive training, customer-facing project delivery, technical leadership development, and frequent travel across North America.

Manage a portfolio of customers receiving employee assistance, behavioral health, wellness, and work-life services. Responsibilities include maintaining customer satisfaction and profitability, understanding client needs, retaining and growing accounts, identifying upsell opportunities, coordinating program delivery, managing communications and training, resolving issues, and reporting utilization. The role requires collaboration with internal teams, strong relationship management, organization, communication, and up to 25% travel.

Designs and maintains automated API, UI, integration, security, and performance tests for AI-powered systems. Validates REST/GraphQL services, data pipelines, distributed integrations, AI-generated outputs, scalability, security, and end-to-end workflows. Integrates testing into CI/CD pipelines, uses AI-assisted testing tools, identifies defects and root causes, and collaborates with Engineering, QA, Product, and Operations in an Agile environment.

Own onboarding for primarily independent schools, guiding partners through implementation, platform adoption, timelines, and handoff to Partner Success. Build scalable playbooks, workflows, documentation, and training materials; collaborate with Product, Sales, Operations, and Success teams; troubleshoot integrations and implementation issues; track onboarding metrics; improve time-to-value; and conduct at least one onsite visit with each school during onboarding.

Build, operate, and evolve Lantern’s cloud infrastructure and engineering platform. Responsibilities include managing GCP infrastructure, Terraform-based infrastructure as code, CI/CD, observability, databases, security, automation, developer tooling, reliability, and incident response. The role partners with product engineers to improve deployment safety and developer experience, participates in an on-call rotation, and supports production systems across networking, IAM, secrets, monitoring, and cloud-native services.

Handles inbound and outbound provider communications through calls, email, voicemail, and chat. Resolves inquiries, assists with portal navigation, verifies information, escalates unresolved issues, reports workflow problems, and meets quality and productivity standards while maintaining HIPAA confidentiality.

Provides patient and doctor support through phone, email, and chat in a remote environment. Resolves questions, follows workflows, documents interactions, prioritizes according to SLAs, exercises judgment, and escalates issues when necessary. Requires strong communication, organization, reliability, attention to detail, adaptability, and willingness to work evening and weekend shifts.

Conducts AML transaction monitoring alert reviews, initial and ongoing investigations, and suspicious activity determinations involving fraud, account takeovers, and BSA/AML referrals. Documents findings, manages investigation caseloads, meets performance and service-level targets, escalates risks, and works independently under regulatory and contractual requirements. Supports process improvement and responds to quality feedback. Requires basic BSA/AML, fraud, and OFAC knowledge, strong organization, discretion, and the ability to manage competing priorities.

Coordinates recruiting and interview activities, including sourcing candidates, conducting interviews, scheduling, application review, candidate communication, database maintenance, job postings, and follow-ups. Works with hiring managers to understand staffing needs, identify qualified candidates, keep recruitment records organized, and improve the hiring process.

Leads the migration of legacy data warehouses and pipelines to an Azure and Databricks lakehouse. Defines technical architecture, reusable Azure Data Factory and Databricks pipelines, reconciliation methods, quality gates, and performance solutions. Mentors data engineers, reviews technical work, and collaborates with product, QA, platform, and customers in a remote Agile environment.