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AlgoLeap

DevOps Engineer

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  • Posted 11 hours ago
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Job Description

Devops Engineer -JD

  • Architect, design, and implement highly available, scalable, and fault-tolerant cloud infrastructure on Amazon Web Services (AWS) and Microsoft Azure.
  • Design multi-account strategies, landing zones, RBAC models, governance frameworks, and cost optimization (FinOps) practices.
  • Lead cloud migration initiatives from onpremises to cloud, including re-hosting, re-platforming, and rearchitecting.
  • Design and implement disaster recovery (DR) and multi-region high availability architectures.
  • Build, standardize, and optimize enterprise-scale CI/CD pipelines using Jenkins and Azure DevOps.
  • Implement Git branching strategies, pull request workflows, tagging strategies, and release governance.
  • Integrate DevSecOps practices including automated code scanning, container image scanning, and policy enforcement within pipelines.
  • Design and manage productiongrade Kubernetes clusters with autoscaling, RBAC, network policies, and workload optimization.
  • Manage container lifecycle using Docker, including private registry management and image security best practices.
  • Administer and manage artifact repositories using JFrog Artifactory.
  • Manage and govern Kubernetes clusters through enterprise platforms such as Rafay Systems.
  • Develop reusable Infrastructure as Code (IaC) modules using Terraform and leverage the Terraform Registry effectively.
  • Implement remote state management, locking mechanisms, and infrastructure policy controls.
  • Integrate secrets management solutions including HashiCorp Vault, Akeyless Vault, and Azure Key Vault with cloud and Kubernetes workloads.
  • Implement secure key rotation, dynamic secrets, and certificate lifecycle management.
  • Design and manage cloud networking including VPC/VNet architecture, route tables, subnets, NAT gateways, security groups, NSGs, and load balancers.
  • Troubleshoot complex networking issues across AWS and Azure environments.
  • Implement monitoring, alerting, and observability using Datadog, including dashboards, SLOs, and distributed tracing.
  • Lead production incident management, perform root cause analysis (RCA), and implement preventive measures.
  • Ensure high availability and zero-downtime deployments for internetfacing production applications.
  • Administer and troubleshoot Linux systems including Ubuntu and CentOS, with performance tuning and patch management.
  • Support and enable data governance and data quality platforms such as Soda and Collibra at the infrastructure level.
  • Drive automation initiatives to eliminate manual operational tasks and improve deployment efficiency.
  • Implement infrastructure security best practices aligned with enterprise compliance requirements.
  • Mentor junior engineers, conduct architecture reviews, and drive DevOps best practices across teams.
  • Provide hands-on troubleshooting support for critical, internetfacing production systems with strict uptime SLAs.

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Job ID: 145416997

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