SDE 2 - DevOps
Dream Sports
Mumbai
Salary:
π₯ sports
Analytics
Note: This job has expired and is no longer accepting applications.
Who Are We: Sixer is an innovative online platform that enables cricket fans to experience the excitement of trading cricket players. By tracking player performance, our revolutionary fantasy game allows you to build a portfolio of players and watch as their value fluctuates based on their on-field success. Sixer is transforming fan engagement and redefining how cricket is enjoyed with its interactive and thrilling ecosystem.
Join Sixer today and experience the thrill of a fantasy sports market like never before!For more information: https://sixergame.com/
**What Are We Looking For:**As a DevOps Engineer at Sixer, you'll be instrumental in enhancing observability, scalability, and automation across our cloud infrastructure. You'll collaborate with engineering teams to build robust systems, optimize performance, and ensure seamless deployments in a high-availability environment.
Key Responsibilities:
- Implement and optimize Datadog monitoring across AWS environments
- Configure and maintain observability solutions for Kubernetes clusters
- Manage infrastructure as code using Terraform/Terragrunt
- Set up alerts, dashboards, and log collection for production systems
- Support CI/CD pipelines and infrastructure automation
- Troubleshoot performance issues using observability tools
- Perform security assessments and infrastructure components runbooks
Qualifications:
- Strong knowledge of AWS services (EKS, EC2, IAM, Secrets Manager)
- Experience with Kubernetes monitoring and Datadog implementation
- Proficiency with infrastructure as code (Terraform/Terragrunt)
- Understanding of service mesh technologies (Istio)
- Familiarity with Helm charts and CI/CD workflows
Experience:
- 3+ years in infrastructure/DevOps engineering
- Demonstrated expertise with monitoring and observability tools
- Experience implementing Datadog agents, dashboards, and alerts
- History of managing cloud infrastructure in production environments
- Background in log collection, metrics configuration, and APM
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