Remote Mid-Level SRE for AI/ML Cloud Platform

SMX

Lansing (MI)

Remote

USD 96,000 - 161,000

Full time

6 days ago
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Benefits offered by this job

Health insurance
Paid leave
Retirement plan

Job summary

SMX is seeking a Mid-Level Site Reliability Engineer to architect, automate, and operate high-performance cloud infrastructure for AI/ML platforms. The role spans MLOps and DevSecOps across commercial, private, hybrid, and government cloud environments.

You will engage as a customer-facing SME, translating mission challenges into actionable architectures, supporting technical scoping, and delivering runbooks and reference diagrams. Remote across the United States.

Qualifications

  • 3 to 5 years of professional experience in SRE, DevOps, or Platform Engineering.
  • Experience communicating complex infra topics to customer stakeholders.
  • Kubernetes operations including networking, RBAC, Pod Security, and secrets.
  • Cloud design and IaC with Terraform or equivalent tooling; Git-based workflows.
  • Automation using Python, Bash, or Go for operations and tooling.
  • Security baselines (CIS, NIST, FedRAMP) familiarity.

Responsibilities

  • Architect, deploy, and maintain highly available Kubernetes clusters for AI/ML workloads.
  • Serve as technical SME on client engagements, presenting solutions and scoping efforts.
  • Collaborate with delivery and account teams to scope, validate, and demonstrate AI/ML architectures.
  • Drive infrastructure automation using Terraform and GitOps patterns with security guardrails.
  • Build and maintain CI/CD pipelines with vulnerability scans, artifact tracking, and audit logs.
  • Monitor performance, capacity, and telemetry; participate in on-call rotations.
  • Enforce network segmentation, data isolation, and robust encryption across pipelines.
  • Produce client-ready docs, reference architectures, and runbooks for operations.

Skills

Kubernetes
CI/CD
Cloud platforms
Python
Bash
Go
Security concepts
RBAC & Secrets
On-call support
Observability

Tools

Terraform
GitOps tooling
Prometheus
Grafana
Datadog
Splunk

Job description

SMX is seeking a Mid-Level Site Reliability Engineer to architect, automate, and operate high-performance cloud infrastructure for AI/ML platforms. The role spans MLOps and DevSecOps across commercial, private, hybrid, and government cloud environments.

You will engage as a customer-facing SME, translating mission challenges into actionable architectures, supporting technical scoping, and delivering runbooks and reference diagrams. Remote across the United States.

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