DevOps Engineer - Google Cloud Platform (7-15 yrs)

Job Description :

66degrees is seeking a DevOps Engineer with specialized expertise in AWS, Resources will lead and scale cloud infrastructure, ensuring high availability, automation, and security across AWS, GCP and Kubernetes environments.

You will be responsible for designing and maintaining highly scalable, resilient, and cost- optimized infrastructure while implementing best-in-class DevOps practices, CI/CD pipelines, and observability solutions.

As a key part of our clients platform engineering team, you will collaborate closely with developers, SREs, and security teams to automate workflows, optimize cloud performance, and build the backbone of their microservices architecture.

Interested candidates should have the ability to overlap with US working hours, be open to occasional weekend work and be local to offices in either Noida, or Gurgaon, India as this is an in-office opportunity.

Qualifications :

- 7+ years of hands-on DevOps experience with proven expertise in GCP; involvement in SRE or Platform Engineering roles is desirable.

- Experience handling high-throughput workloads with occasional spikes.

- Prior industry experience with live sports and media streaming.

- Deep knowledge of Kubernetes architecture, managing workloads, networking, RBAC and autoscaling is required.

- Expertise in AWS Platform with hands-on VCP, IAM, EC2, Lambda, RDS, EKS and S3 experience is required; the ability to learn GCP with GKE is desired.

- Experience with Terraform for automated cloud provisioning; Helm is desired.

- Experience with FinOps principles for cost-optimization in cloud environments is required.

- Hands-on experience building highly automated CI/CD pipelines using Jenkins, ArgoCD, and GitHub Actions.

- Hands-on experience with service mesh technologies (Istio, Linkerd, Consul) is required.

- Knowledge of monitoring tools such as CloudWatch, Google Logging, and distributed tracing tools like Jaeger; experience with Prometheus and Grafana is desirable.

- Proficiency in Python and/or Go for automation, infrastructure tooling, and performance tuning is highly desirable.

- Strong knowledge of DNS, routing, load balancing, VPN, firewalls, WAF, TLS, and IAM.

- Experience managing MongoDB, Kafka or Pulsar for large-scale data processing is desirable.

- Proven ability to troubleshoot production issues, optimize system performance, and prevent downtime.

- Knowledge of multi-region disaster recovery and high-availability architectures.

Desired :

- Contributions to open-source DevOps projects or strong technical blogging presence.

- Experience with KEDA-based autoscaling in Kubernetes.