GCP & Kubernetes SRE: Reliable, Scalable Cloud Ops

Compunnel Inc.; New Jersey; On-site; USD 120,000 - 150,000; Full time

Job summary

Compunnel, Inc. is looking for a Site Reliability Engineer (SRE) in New Jersey to ensure the reliability and performance of cloud and on-premise systems. Candidates should have strong expertise in Google Cloud Platform (GCP) and Kubernetes, along with experience in automation scripting. The role involves collaborating with teams to enhance system efficiency, implementing monitoring solutions, and optimizing cloud costs. A Bachelor's degree and 4+ years in a similar role are required. Certifications in Google Cloud are preferred.

Qualifications

• 4+ years of experience in Site Reliability Engineering or similar role.
• Strong proficiency in GCP including Compute Engine, Kubernetes Engine.
• Experience with CI/CD tools like Jenkins or Azure Pipelines.

Responsibilities

• Ensure reliability and uptime of critical services.
• Design and manage cloud infrastructure using GCP.
• Implement monitoring solutions and respond to incidents.

Skills

Google Cloud Platform

Kubernetes

Automation scripting

Python

Bash

Education

Bachelor’s degree in Computer Science or Engineering

Tools

Terraform

Ansible

Jenkins

Prometheus

Grafana

Job description

We are seeking a Site Reliability Engineer (SRE) with strong expertise in Google Cloud Platform (GCP) and Kubernetes to ensure the reliability, performance, and scalability of cloud and on-premise systems. This role focuses on building resilient infrastructure, automating operations, and optimizing cloud costs while maintaining high system availability. The ideal candidate will collaborate with development and operations teams to improve system efficiency and reliability.

Key Responsibilities

• Ensure reliability, availability, and uptime of critical services and infrastructure
• Design, implement, and manage cloud infrastructure using GCP services
• Develop and maintain automation scripts and tools to reduce manual effort and improve efficiency
• Implement monitoring solutions and respond to incidents to minimize downtime
• Collaborate with development and operations teams to enhance system performance and reliability
• Perform capacity planning and system performance tuning
• Optimize cloud resource usage and reduce operational costs
• Maintain documentation for system configurations, processes, and procedures

Required Qualifications

• Bachelor’s degree in Computer Science, Engineering, or a related field
• 4+ years of experience in Site Reliability Engineering or a similar role
• Strong proficiency in GCP services such as Compute Engine, Kubernetes Engine, Cloud Storage, BigQuery, and Pub/Sub
• Experience with Kubernetes and container orchestration
• Experience with automation tools such as Terraform, Ansible, or Puppet
• Familiarity with CI/CD tools such as Jenkins, GitLab CI, or Azure Pipelines
• Strong scripting skills in Python, Bash, or similar languages
• Understanding of networking concepts and protocols
• Experience with monitoring tools such as Prometheus and Grafana

Preferred Qualifications

• Familiarity with GCP BI and AI/ML tools such as Looker, BigQuery ML, or Vertex AI
• Experience with service mesh technologies
• Strong troubleshooting and performance optimization skills

Certifications

• Google Cloud Professional DevOps Engineer
• Google Cloud Professional Cloud Architect