Top Remote Senior Level Jobs in Boise, ID

Build and scale renewal operations for a high-volume down-market segment. Own renewal data, reporting, forecasting, pacing models, workflows, systems configuration, partner portal processes, and recurring operating cadences. Translate CRM data into executive insights, establish leading indicators, improve data quality, and coordinate with Revenue Operations, Customer Operations, IT, and cross-functional stakeholders to automate and optimize renewal processes.

Manage the company’s IT department and ensure reliable operation of networks, servers, systems, security, and end-user technology. Responsibilities include AWS and Oracle administration, Microsoft 365 access management, technical support, cybersecurity monitoring, compliance, vendor coordination, budgeting, and leading IT infrastructure projects. The role also supports Windows and Apple devices, manages IT tickets, and coordinates cross-functional technology initiatives.

Lead the technical vision and development of Placer.ai’s AI-powered location intelligence platform. Build full-stack conversational AI features, including LLM integrations, retrieval, agents, tool-calling, streaming interfaces, evaluations, monitoring, and security controls. Translate ambiguous requirements into scalable production systems, make architecture decisions, collaborate with product, design, and customers, and improve engineering practices through code reviews, testing, and AI-assisted development.

Designs and delivers production-grade enterprise AI solutions using LLMs, RAG, agentic AI, MCP, and Azure. Translates business needs into secure, scalable architectures; establishes AI engineering standards, evaluation, observability, and guardrails; leads architecture and code reviews; mentors AI, software, and data engineers; evaluates emerging technologies; and supports client workshops, demonstrations, solutioning, and presales.

Implement and operate multi-region AWS database infrastructure for a Tier-1 payments platform. Responsibilities include DynamoDB Global Tables replication, failover and failback automation, Terraform or CDK infrastructure, observability, disaster recovery testing, KMS and IAM configuration, CDC pipelines, data migration cutovers, and application resilience patterns. The role also requires runbook and design documentation, collaboration with data, SRE, and application teams, and support for regulated financial-services workloads.

Design and deploy production AI/ML systems, including data pipelines, RAG systems, agentic workflows, model integrations, APIs, observability, evaluations, guardrails, and cost optimization. Collaborate with product, design, and client stakeholders while contributing to architecture, code reviews, testing, deployment, and technical strategy. Build reliable, secure, scalable systems using modern LLM and cloud technologies.

Lead security tooling and enablement for a global SaaS platform. Build automation, pipeline guardrails, and developer workflows covering application security, dependency and supply chain security, containers, artifacts, cloud posture, vulnerability management, and policy enforcement. Partner with Security and Engineering teams, lead proofs of concept and technical initiatives, improve security tooling usability, and support responsible adoption of AI-assisted engineering and security tools.

Performs cloud security engineering across AWS and GCP, including system hardening, patching, vulnerability remediation, compliance scanning, security tool management, incident response, and cloud operations. Troubleshoots Linux, Windows, network, application, and identity issues; supports FedRAMP, FISMA, and NIST 800-53 requirements; documents procedures and incidents; contributes to automation; mentors junior engineers; and participates in a 24×7 on-call rotation.

Own the strategy, roadmap, and delivery of Chamber’s healthcare interoperability platform and third-party integrations. Lead technical discovery across EHRs, payer systems, health information exchanges, APIs, and communication platforms. Define data mappings, integration requirements, reliability standards, and reusable platform capabilities while partnering with engineering, data, clinical, operations, and external technology teams. Improve data quality, observability, scalability, and operational efficiency across the integration ecosystem.

Designs and operates security controls for AI/ML systems, including threat detection, incident response, cloud and application security, model governance, adversarial testing, and security automation. Builds production tooling across AI platforms such as SageMaker, Azure OpenAI, and Databricks; applies MITRE ATLAS, OWASP AI Top 10, and NIST AI RMF frameworks; and integrates enterprise security platforms to protect models, data, pipelines, and AI applications.