Site Reliability Engineer Job Township of Mount Laurel New Jersey USA,IT/Tech

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 Git Hub Actions.
Monitor system health and performance using Prometheus, Grafana, Datadog, Cloud Watch, 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, Dev Ops, 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

Git Hub Actions
CI/CD pipeline automation

Monitoring & Observability

Prometheus (required)
Grafana
Datadog
Cloud Watch
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

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