drjobs Senior DevOps Engineer GCP

Senior DevOps Engineer GCP

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1 Vacancy
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Job Location drjobs

Noida - India

Monthly Salary drjobs

Not Disclosed

drjobs

Salary Not Disclosed

Vacancy

1 Vacancy

Job Description

As a key member of the Platform Engineering team you will:

  • Design implement and maintain highly scalable resilient and costoptimized cloud infrastructure.

  • Develop bestinclass DevOps practices CI/CD pipelines and observability solutions.

  • Automate workflows optimize cloud performance and support a robust microservices architecture.

  • Collaborate closely with developers SREs and security teams to drive automation and efficiency.

This is an inoffice position based in Noida or Gurgaon India requiring overlap with U.S. working hours and occasional weekend work.


Qualifications :

 

  • 7 years of handson DevOps experience with proven expertise in GCP; experience in SRE or Platform Engineering roles is a plus.

  • Strong experience managing highthroughput workloads with variable traffic spikes. Industry experience in live sports and media streaming is highly desirable.

  • Deep understanding of Kubernetes architecture workload management networking RBAC and autoscaling.

  • Handson expertise with Google Cloud Platform (GCP) particularly GKE; familiarity with AWS (VPC IAM EC2 S3 RDS Lambda) is a plus.

  • Experience with Terraform for cloud provisioning (Helm experience is desirable).

  • Strong understanding of FinOps principles for cloud cost optimization.

  • Handson experience with CI/CD automation using Jenkins ArgoCD and GitHub Actions.

  • Proficiency in service mesh technologies such as Istio Linkerd or Consul.

  • Experience with monitoring and logging tools including CloudWatch Google Logging Prometheus Grafana and distributed tracing tools like Jaeger.

  • Strong programming skills in Python and/or Go for automation infrastructure tooling and performance tuning.

  • Expertise in DNS routing load balancing VPNs firewalls WAF TLS and IAM.

  • Experience managing MongoDB Kafka or Pulsar for largescale data processing is a plus.

  • Proven ability to troubleshoot production issues optimize system performance and implement disaster recovery strategies.
     

    Nice to Have:

  • Contributions to opensource DevOps projects or a strong technical blogging presence.

  • Experience with KEDAbased autoscaling in Kubernetes.


Additional Information :

  • Opportunity to work in a diverse team
  • Competitive hourly rate

  • Longterm stable opportunity


Remote Work :

No


Employment Type :

Contract

Employment Type

Contract

Company Industry

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