Staff Software Engineer, DevOps

New
IndiaFull-TimeStaff
Salary not disclosed
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Job Details

Languages
English
Experience
7+ years
Required Skills
AWSGCPKubernetesTerraformDatadog

Requirements

  • 7+ years of professional experience in infrastructure, platform, or DevOps engineering
  • Deep expertise in Kubernetes (EKS preferred)
  • Strong Terraform proficiency
  • Solid AWS knowledge (EKS, IAM, VPC networking, Route53, CloudFront, multi-account architectures)
  • Hands-on experience with production observability (Datadog monitors, SLOs/SLIs, PagerDuty alerting)
  • Experience with secrets management (HashiCorp Vault & Consul, AWS Secrets Manager, KMS, External Secrets Operator, Cert Manager)
  • Experience working with highly available distributed systems across multiple regions
  • Demonstrated ability to lead technical architecture decisions, author design documents/RFCs with clear trade-off analysis
  • Track record of mentoring engineers and raising the technical bar of a team
  • Professional experience developing and deploying applications in a public cloud environment (AWS, GCP) with CI/CD pipelines
  • Experience leveraging tools to monitor platform stability, availability and performance (Datadog)
  • Passion for addressing complex infrastructure challenges at scale
  • Strong problem solving, communication, and collaboration skills
  • Experience designing and implementing core infrastructure components of a platform (Preferred)
  • Experience managing cloud deployments with Terraform (Preferred)
  • Container orchestration experience (Kubernetes, ECS, Nomad), bonus for Argo, Istio (Preferred)

Responsibilities

  • Shape the direction of our Kubernetes-based platform
  • Drive a major infrastructure initiative
  • Multiply the effectiveness of the engineering team
  • Own the technical strategy and delivery of critical Infra systems
  • Manage EKS cluster lifecycle
  • Oversee infrastructure-as-code and GitOps delivery pipelines
  • Manage observability systems
  • Manage multi-region networking
  • Work closely with Data Platform and application engineering teams
  • Participate in on-call shifts
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