Note: The job is a remote job and is open to candidates in USA. SMX is hiring a Mid-Level Site Reliability Engineer to architect, automate, and operate high-performance cloud infrastructure for AI/ML platforms. The role bridges MLOps and DevSecOps, supports scalable AI workloads across cloud environments, and provides customer-facing technical consultation and solutioning.

Responsibilities

• 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

Skills

• 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)
• SMX does not sponsor a new applicant for employment authorization or immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or other forms of work authorization that require immigration support from an employer)
• 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

Benefits

• Fully remote position open to candidates across the United States.
• Learning & development opportunities.
• Health insurance.
• Paid leave.
• Retirement.

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