Site Reliability Engineer

GCS Recruitment; Philadelphia (Philadelphia County); On-site; USD 120,000 - 160,000; Full time

Job summary

GCS Recruitment seeks a Site Reliability Engineer III to support an AI Platform Engineering team responsible for building and maintaining the infrastructure behind enterprise AI and machine learning applications. This role focuses on large-scale distributed systems, Kubernetes, and cloud-native platforms that power next-generation AI solutions.

The ideal candidate has strong cloud infrastructure, Kubernetes, Infrastructure as Code, observability, and automation experience.

Qualifications

• Bachelor's degree in Computer Science or related field, or equivalent experience.
• 4+ years of experience as Site Reliability Engineer, DevOps, Platform Engineer, or Cloud Infrastructure.
• Strong understanding of distributed systems, software design, algorithms, and system performance.
• Experience programming or scripting with Python, Bash, Go, Java, or C/C++.
• Experience with Kubernetes-based production environments.

Responsibilities

• Design, implement, and support highly available, scalable 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 with 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.

Skills

Python

Go

Bash

Java

C/C++

Observability

Communication

Education

Bachelor's degree in Computer Science or related field

Tools

Kubernetes

Docker

Terraform

GitHub Actions

Prometheus

Grafana

Datadog

CloudWatch

Elasticsearch

MySQL

Kafka

AWS

GKE

EKS

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.