About this opportunity
GCS Recruitment lists this Site Reliability Engineer opportunity in mount laurel township, New Jersey. Review the employer’s description below for duties, qualifications and application requirements.
Job description
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.
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Who can apply
Review the original listing for work authorization, qualifications and employer requirements.