DevOps Engineer – P4 Level (1461170)

Job Description

• Manager's notes: 
• Work location: Remote (preferred near New York or San Francisco office)
• Mandatory: Candidate should have multi cloud experience, AWS, Azure, GCP, Oracle Cloud, Digital Ocean.
• DevOps Engineer – P4 Level
• We are looking for an experienced P4 DevOps Engineer to join our platform engineering team. This senior-level role demands a multi-cloud expert with profound Kubernetes knowledge to architect, implement, and optimize complex infrastructure across diverse cloud environments. The ideal candidate will drive our multi-cloud strategy, ensuring seamless container orchestration and deployment workflows.
•  1. Multi-Cloud Infrastructure & Platform Management
• Design and maintain scalable, highly available infrastructure across AWS, Azure, GCP, Oracle Cloud Infrastructure (OCI), and DigitalOcean.
• Architect cloud-agnostic solutions that maximize portability and avoid vendor lock-in.
• Implement Infrastructure as Code (IaC) solutions using Terraform, Pulumi, and cloud-native tools.
• Optimize cost efficiency across multiple cloud providers through strategic workload placement.
• Design and implement multi-cloud disaster recovery and business continuity strategies.
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• 2. Kubernetes & Container Orchestration Leadership
• Architect and manage production-grade Kubernetes clusters across multiple cloud environments.
• Design and implement multi-cluster, multi-cloud Kubernetes deployments.
• Manage Kubernetes distributions including EKS (AWS), AKS (Azure), GKE (GCP), OKE (OCI), and DOKS (DigitalOcean).
• Implement advanced Kubernetes patterns: operators, custom resources, admission controllers.
• Design service mesh architectures using Istio, Linkerd, or Consul Connect.
• Optimize cluster autoscaling, resource allocation, and workload scheduling.
•  3. Advanced CI/CD & GitOps
• Design sophisticated CI/CD pipelines that deploy across multiple cloud environments.
• Implement GitOps workflows using ArgoCD, Flux, or similar tools.
• Create automated testing strategies for multi-cloud deployments.
• Develop advanced deployment patterns: blue-green, canary, progressive delivery.
• Build cross-cloud promotion pipelines with environment-specific configurations.
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• 4. Monitoring & Observability
• Implement unified monitoring across all cloud platforms using Prometheus, Grafana, and cloud-native tools.
• Design distributed tracing solutions for multi-cloud microservices architectures.
• Establish comprehensive logging strategies using ELK Stack, Fluentd, and cloud logging services.
• Create cross-cloud alerting and incident response workflows.
• Implement chaos engineering practices to test multi-cloud resilience.
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• 5. Security & Compliance
• Implement zero-trust security models across all cloud environments.
• Manage secrets, certificates, and access controls using HashiCorp Vault, cloud KMS, and Kubernetes secrets.
• Ensure compliance across different cloud providers' security frameworks.
• Implement network security policies and micro-segmentation.
• Conduct regular security assessments and vulnerability management.
•  6. Leadership & Strategic Planning
• Lead technical architecture decisions for multi-cloud initiatives.
• Mentor junior DevOps engineers on Kubernetes and cloud-native technologies.
• Drive adoption of cloud-native best practices across development teams.
• Participate in vendor evaluation and cloud provider selection processes.
•  Required Qualifications
• Experience
• 8+ years of experience in DevOps, Site Reliability Engineering, or Platform Engineering.
• 6+ years of hands-on experience with multiple cloud platforms.
• 5+ years of production Kubernetes experience across different environments.
• 4+ years of experience leading technical projects and mentoring team members.
• 3+ years of multi-cloud architecture and implementation experience.
•  Technical Skills
•  Cloud Platforms
• AWS: EKS, EC2, VPC, IAM, CloudFormation, Lambda.
• Azure: AKS, Virtual Machines, Resource Manager, Azure DevOps.
• Google Cloud Platform: GKE, Compute Engine, Cloud Build, IAM.
• Oracle Cloud Infrastructure: OKE, Compute, Networking, Resource Manager.
• DigitalOcean: DOKS, Droplets, Load Balancers, Spaces.
•  Kubernetes & Containers
• Kubernetes: Deep expertise in cluster management, networking, storage, security.
• Container Technologies: Docker, containerd, CRI-O, container registries.
• Helm: Chart development, templating, repository management.
• Service Mesh: Istio, Linkerd, Consul Connect.
• Kubernetes Tools: kubectl, kustomize, operators, admission controllers.
•  Infrastructure & Automation
• Infrastructure as Code: Terraform (multi-cloud), Pulumi, cloud-native IaC tools.
• CI/CD Platforms: Jenkins, GitLab CI, GitHub Actions, Azure DevOps, Cloud Build.
• GitOps: ArgoCD, Flux, Tekton.
• Programming/Scripting: Python, Go, Bash, PowerShell, YAML/JSON.
•  Monitoring & Observability
• Monitoring: Prometheus, Grafana, cloud-native monitoring solutions.
• Logging: ELK Stack, Fluentd, cloud logging services.
• Tracing: Jaeger, Zipkin, cloud tracing solutions.
• APM: Datadog, New Relic, Dynatrace.
•  Additional Requirements
•  Deep understanding of networking concepts across different cloud providers.
• Experience with multi-cloud networking solutions
• Requirements:
• Manager's notes: 
• Work location: Remote (preferred near New York or San Francisco office)
• Mandatory: Candidate should have multi cloud experience, AWS, Azure, GCP, Oracle Cloud, Digital Ocean.

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