Top Remote Senior Level Jobs in Provo, UT

Serve as the technical lead for Cyera customers: onboard and train, design custom use cases, drive adoption and expansion, troubleshoot issues, run executive reviews, mentor team members, and influence product roadmap while traveling ~25–50% annually.

Lead an SRE automation team building and governing infrastructure-as-code, configuration management, image pipelines, and monitoring for hybrid data centers and cloud. Drive lifecycle automation, custom tooling, capacity/performance optimization, cross-team collaboration, and mentor engineers to ensure reliable, self-service infrastructure platforms.

Lead a cross-functional team to define and deliver products that modernize government records migration, preservation, and access. Own product strategy, roadmap, prioritized backlog, stakeholder management, team ceremonies, and collaboration with government partners to transfer skills and align on scalable solutions.

Design, build, and configure Amazon Connect contact flows and IVR experiences; develop AWS Lambda functions and Lex bots; configure Contact Lens and CTRs; integrate Connect with CRMs (Salesforce, ServiceNow) and third-party APIs; monitor via CloudWatch; support IaC deployments (CloudFormation/Terraform); document designs and support UAT with stakeholders.

Design, deploy, and operate high-performance NFS-backed storage for GPU/AI platforms. Integrate storage into Kubernetes via CSI, tune Linux/NFS data paths, automate provisioning with IaC and GitOps, build observability, and diagnose performance and reliability across hybrid, edge, and air-gapped environments.

Lead change and adoption for Genie and M-Files: develop adoption and stakeholder plans, run assessments and communications, build learning journeys and role-based training, coordinate Champion networks, and track adoption with dashboards to realize measurable business value.

Design, build, and maintain scalable web applications for payroll and accounting. Collaborate with engineers and product partners, write tested code, participate in code reviews, contribute to architecture, improve CI/CD and monitoring, support production (including on-call), and communicate progress while continuously learning.

Design, build, validate, deploy, and monitor machine learning and generative AI solutions for healthcare and life sciences. Work with EHR, claims, and registry data to produce clinical predictions, operational optimizations, and LLM-powered applications. Translate results for stakeholders, document best practices, and mentor client teams.

Analyze complex datasets using statistical and machine learning techniques; build and maintain FISMA-compliant, de-identified datasets; implement secure storage, transfer, retention, and destruction procedures; format codebooks; coordinate with qualitative and regulatory teams; support incident response and PII safeguarding per contract requirements.

Transform AI prototypes into secure, scalable production systems by re-architecting code, designing cloud infrastructure (AWS/Azure), implementing CI/CD, containerizing (Docker/Kubernetes), ensuring security/compliance, building APIs, monitoring, and enabling developer productivity with infrastructure-as-code, reusable templates, and documentation.