Site Reliability Engineer

Site Reliability Engineer III (AI Platform)

Location: Mount Laurel, NJ (Onsite)
Duration: Contract
Experience: 4+ years

About the Role

We are seeking a Site Reliability Engineer (SRE) III to support a cutting-edge AI Platform Engineering team responsible for building and maintaining the infrastructure behind enterprise AI and machine learning applications. This is an exciting opportunity to work on large-scale distributed systems, Kubernetes environments, and cloud-native platforms that power next-generation AI solutions.

The ideal candidate has a strong background in cloud infrastructure, Kubernetes, Infrastructure as Code, observability, and automation. Experience supporting production environments at scale is essential.

Responsibilities

• Design, implement, and support highly available, scalable, and secure cloud infrastructure.
• Maintain and improve Kubernetes-based production environments.
• Deploy and support AI/ML applications across cloud platforms.
• Automate infrastructure provisioning and operational processes using Terraform and scripting.
• Build and maintain CI/CD pipelines using GitHub Actions.
• Monitor system health and performance using Prometheus, Grafana, Datadog, CloudWatch, Elasticsearch, and logging tools.
• Troubleshoot production issues across distributed systems, cloud infrastructure, networking, and containerized applications.
• Partner with development teams to improve application reliability, scalability, and performance.
• Participate in incident response, root cause analysis, and continuous service improvements.
• Support large-scale Kubernetes clusters and cloud-native workloads.

Required Qualifications

• Bachelor's degree in Computer Science or a related technical field (or equivalent experience).
• 4+ years of experience in Site Reliability Engineering, DevOps, Platform Engineering, or Cloud Infrastructure.
• Strong understanding of distributed systems, software design, algorithms, and system performance.
• Experience programming or scripting with one or more of the following:
• Python
• Bash
• Go
• Java
• C/C++
• Strong troubleshooting and problem-solving skills.
• Excellent communication and collaboration abilities.

Required Technical Skills

Cloud Platforms

• AWS (required)
• Azure or GCP

Containers & Orchestration

• Kubernetes (required)
• Docker
• Amazon EKS
• Google GKE/GKS

Infrastructure as Code

• Terraform (required)

CI/CD

• GitHub Actions
• CI/CD pipeline automation

Monitoring & Observability

• Prometheus (required)
• Grafana
• Datadog
• CloudWatch
• Elasticsearch
• Centralized logging solutions

Additional Technologies

• MySQL
• Kafka

Preferred Qualifications

• Experience supporting AI/ML platforms or machine learning infrastructure.
• Experience with GPU-based workloads.
• Knowledge of AI model deployment or MLOps.
• Experience automating operational processes.
• Familiarity with enterprise-scale Kubernetes environments.

Nice to Have

• Python or Go development experience.
• Experience with ETL workflows.
• Exposure to AI/ML technologies, LLMs, or agentic AI platforms.

Keywords

Site Reliability Engineer | SRE | DevOps | Platform Engineer | Kubernetes | AWS | Terraform | Docker | EKS | GKE | GitHub Actions | Prometheus | Grafana | Datadog | CloudWatch | Elasticsearch | Kafka | Python | Bash | Go | Infrastructure as Code | Observability | AI Platform | Machine Learning | Cloud Infrastructure | Distributed Systems

GCS is acting as an Employment Business in relation to this vacancy.