Site Reliability Engineer
Job in
Passaic, Passaic County, New Jersey, 07055, USA
Listed on 2026-06-06
Listing for:
Compunnel, Inc.
Full Time
position Listed on 2026-06-06
Job specializations:
-
IT/Tech
Cloud Computing, SRE/Site Reliability, Systems Engineer, Network Engineer
Job Description & How to Apply Below
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
- 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, Big Query, 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, Git Lab 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
- Familiarity with GCP BI and AI/ML tools such as Looker, Big Query ML, or Vertex AI
- Experience with service mesh technologies
- Strong troubleshooting and performance optimization skills
- Google Cloud Professional Dev Ops Engineer
- Google Cloud Professional Cloud Architect
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