Site Reliability Engineer

This is a fully remote position, open to applicants in United States.

📋 Description

• Design, deploy, and oversee highly available Kubernetes clusters tailored for AI/ML training, inference, and GPU optimization in cloud environments.

• Act as the technical subject matter expert (SME) during client engagements, directly consulting with customer stakeholders to evaluate requirements, provide technical solutions, and highlight the benefits of SMX managed platforms and services.

• Collaborate with delivery and account teams during technical discussions and solution phases to scope, validate, and showcase modern AI/ML and DevSecOps architectures.

• Propel infrastructure automation through Terraform and GitOps methodologies, incorporating security controls, least privilege access, and compliance measures.

• Develop and sustain resilient CI/CD pipelines featuring automated container vulnerability assessments, artifact tracking, and audit logging.

• Oversee platform performance, capacity, and telemetry; engage in an on-call rotation, root-cause analysis, and operational post-mortems.

• Work with engineering and security teams to enforce network segmentation, data isolation, encryption, and key management across high-throughput data pipelines.

• Create client-ready technical documentation, reference architectures, runbooks, and diagrams that support operational excellence and customer transitions.

• Integrate MLOps and DevSecOps by deploying scalable cloud-based architectures for compute-intensive AI tasks.

• Assist with technical scoping during service engagements for both enterprise and public-sector clients.

⛳️ Requirements

• 3 to 5 years of professional experience in Site Reliability Engineering, DevOps, or Platform Engineering positions.

• Demonstrated ability to convey complex infrastructure concepts directly to customer stakeholders, serve as a technical SME, and assist in solution demonstrations or technical scoping conversations.

• Strong operational expertise with Kubernetes, including container networking, RBAC, Pod Security, and secrets management.

• Hands-on experience in designing, deploying, and managing infrastructure across AWS, Microsoft Azure, or Google Cloud.

• Knowledge of networking, identity and access management, encryption, security controls, and logging.

• Familiarity with Terraform or similar Infrastructure as Code tools and Git-based workflows.

• Proficient in Python, Bash, or Go.

• Strong full-stack troubleshooting capabilities spanning compute, storage, networking, and application layers.

• Understanding of security baselines such as CIS benchmarks, NIST, or FedRAMP concepts.

• Selected candidate may undergo a background check and/or education verification.

• Must be authorized to work in the United States; SMX does not provide sponsorship for new applicants regarding employment authorization or immigration-related support.

🏝️ Benefits

• Health insurance

• Paid leave

• Retirement benefits

• Competitive compensation

• Learning and development opportunities

• Equal Opportunity employment, including for individuals with disabilities and veterans