Hiring Site Reliability Engineer (SRE) with GCP

0 views
Skip to first unread message

Abhinav Mohanty

unread,
Apr 16, 2026, 5:37:07 PM (2 days ago) Apr 16
to

Hello Everyone,

Please share suitable profiles.

 

Don’t call me, Once I review the profile will give you a call.

 

If you are sharing any profile, please mention:

Rate –

Location –

Work Authorization –

"Before submitting any candidates please share the visa back and front copy must and LinkedIn id "

 

Role: Site Reliability Engineer (SRE) with GCP

Location: Parsippany, NJ (Hybrid) – Need Local

No H1B/OPT/CPT

 

Job Description:

We are looking for a talented Site Reliability Engineer (SRE) with a strong background in Google Cloud Platform (GCP) and Kubernetes. The ideal candidate will be responsible for ensuring the reliability, performance, and scalability of our on-premises and cloud-based systems along with focus on reducing costs for Google Cloud.

System Reliability: Ensure the reliability and uptime of critical services and infrastructure.

Google Cloud Expertise: Design, implement, and manage cloud infrastructure using Google Cloud services.

Automation: Develop and maintain automation scripts and tools to improve system efficiency and reduce manual intervention.

Monitoring and Incident Response: Implement monitoring solutions and respond to incidents to minimize downtime and ensure quick recovery.

Collaboration: Work closely with development and operations teams to improve system reliability and performance.

Capacity Planning: Conduct capacity planning and performance tuning to ensure systems can handle future growth.

Documentation: Create and maintain comprehensive documentation for system configurations, processes, and procedures.

Qualifications:

Education: Bachelor’s degree in computer science, Engineering, or a related field.

Experience: 4+ years of experience in site reliability engineering or a similar role.


Skills:

Proficiency in Google Cloud services (Compute Engine, Kubernetes Engine, Cloud Storage, BigQuery, Pub/Sub, etc.).

Familiarity with Google BI and AI/ML tools (Looker, BigQuery ML, Vertex AI, etc.)

Experience with automation tools (Terraform, Ansible, Puppet).

Familiarity with CI/CD pipelines and tools (Azure pipelines Jenkins, GitLab CI, etc.).

Strong scripting skills (Python, Bash, etc.).

Knowledge of networking concepts and protocols. (Service mesh experience a plus)

Experience with monitoring tools (Prometheus, Grafana, etc.).

 

Preferred Certifications:

Google Cloud Professional DevOps Engineer

Google Cloud Professional Cloud Architect


--
Thanks & Regards,
Abhinav
Direct - 216 435 6682
Reply all
Reply to author
Forward
0 new messages