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# Site Reliability Engineer (5757)

- **Company:** SMX, LLC
- **Location:** Montpelier, VT, United States (Remote available)
- **Experience:** Experienced
- **Salary:** $96,400.0 - $160,600.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Application Layers, Audit Trail, Microsoft Azure, Bash Shell, Cloud Computing, DevOps, Identity and Access Management, Python (Programming Language), Key Management, Machine Learning, Network Segmentation, Role-Based Access Control, Reliability Engineering, Prometheus, Azure Machine Learning, Runbook, Private Cloud Environment, Datadog, Data Logging, Google Cloud, Grafana, Multi-Cloud, HybridCloud, Git Flow, Kubernetes, Machine Learning Operations, CIS Benchmarks, Terraform, Splunk, Data Pipelines, Devsecops
- **Published:** October 23, 2026
- **Apply:** https://dejobs.org/x/x/F46BCB66CBBE4E5C87750C68826A64A5/job/

## About the Role

* Experience: 3 to 5 years of professional experience in Site Reliability Engineering, DevOps, or Platform Engineering roles.
 * Client & Consultation Skills: Proven ability to communicate complex infrastructure concepts directly to customer stakeholders, act as a technical SME, and support solution demos or technical scoping discussions.
 * Kubernetes & Containers: Strong operational proficiency with Kubernetes, including container networking, RBAC, Pod Security, and secrets management.
 * Cloud & IaC: Practical experience designing, deploying, and managing infrastructure across major cloud platforms such as AWS, Microsoft Azure, or Google Cloud, including networking, identity and access management, encryption, security controls, and logging. Experience using Terraform or equivalent Infrastructure as Code (IaC) tooling and Git-based workflows.
 * Automation: Proficiency in Python, Bash, or Go for operational automation and custom tooling development.
 * Troubleshooting & Security: Strong full-stack troubleshooting skills across compute, storage, networking, and application layers, paired with familiarity with security baselines (e.g., CIS benchmarks, NIST, or FedRAMP concepts).

Desired Skills & Experience

 * AI/ML Platforms: Hands-on experience provisioning and operating infrastructure for AI/ML workloads.
 * Experience operating within regulated or government cloud environments, including AWS GovCloud, Azure Government, or environments subject to FedRAMP and DoD compliance frameworks.
 * Experience supporting hybrid cloud, multi-cloud, or private cloud infrastructure architectures.
 * Observability and telemetry experience using tools such as Prometheus, Grafana, Splunk, or Datadog.
 * Relevant cloud certifications from AWS, Microsoft Azure, Google Cloud, or recognized cloud-native technology providers.

## Description

Beyond hands-on platform engineering, you will serve as a customer-facing Technical Subject Matter Expert (SME), engaging with stakeholders to translate mission challenges into actionable architectures, demonstrating platform capabilities, and supporting technical scoping during service engagements. This is a fully remote position open to candidates across the United States., * Architect, deploy, and maintain highly available Kubernetes clusters optimized for AI/ML training, inference, and GPU utilization across cloud environments.

 * Serve as the technical SME on client engagements, consulting directly with customer stakeholders to assess requirements, present technical solutions, and articulate the value of SMX managed platforms and services.
 * Partner with delivery and account teams during technical discussions and solutioning phases to help scope, validate, and demonstrate modern AI/ML and DevSecOps architectures.
 * Drive infrastructure automation using Terraform and GitOps patterns, embedding security controls, least privilege access, and compliance guardrails from day one.
 * Build and maintain resilient CI/CD pipelines featuring automated container vulnerability scans, artifact tracking, and audit logging to enable secure, repeatable deployments.
 * Proactively monitor platform performance, capacity, and telemetry; participate in an on-call rotation, driving root-cause analysis and operational post-mortems.
 * Collaborate with engineering and security teams to enforce network segmentation, data isolation, and robust encryption and key management across high-throughput data pipelines.
 * Produce client-ready technical documentation, reference architectures, runbooks, and diagrams that support operational excellence and customer handoffs.