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SDE - 3 - DevOps

Arintra

Bangalore, Karnataka, IndiaJob$10–35K/yrPosted 1mo agoVerified open 5 days ago
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At a glance

Compensation
$10–35K/yr
Location
Bangalore, Karnataka, India
Work Authorization
Not specified

Job overview

The role involves designing, deploying, and managing scalable cloud infrastructure on GCP or AWS, building CI/CD pipelines, managing Kubernetes clusters, developing automation with Python, implementing monitoring and security best practices, and improving platform reliability.

Skills & qualifications

RequiredNice to have

Skills

DevOpsComplianceCloud NativeIdentity & Access Management (IAM)GPUAmazon Web ServicesInfrastructureScriptingSOC 2ObservabilityKubernetesGoogle Cloud PlatformAutomationContainersArtificial IntelligenceGrafanaCloud ArchitectureRBACReliability EngineeringPythonCloud ServicesCI/CDPrometheusIAMSecrets ManagementHorizontal Pod Autoscaler (HPA)Cluster AutoscalerKEDAEvent-Driven ArchitectureCloud Architecture DesignSOC2 ComplianceFinOpsAI/LLM InfrastructureGPU Workloads

Full job description

Responsibilities:

  • Design, deploy, and manage scalable cloud infrastructure on GCP or AWS.
  • Build and maintain secure, reliable CI/CD pipelines to streamline application deployments.
  • Manage and optimise Kubernetes clusters for high availability and performance.
  • Develop automation scripts and operational tools using Python.
  • Implement infrastructure monitoring, logging, metrics, dashboards, and distributed tracing.
  • Collaborate with development teams to improve deployment processes, reliability, and system scalability.
  • Ensure cloud infrastructure follows security best practices, including IAM, Secrets Management, RBAC, and container security.
  • Implement autoscaling strategies using HPA, Cluster Autoscaler, or KEDA.
  • Troubleshoot production issues and drive continuous improvements in platform reliability and performance.

Requirements:

  • Hands-on experience in DevOps, cloud engineering, or site reliability engineering.
  • Strong hands-on experience with Kubernetes.
  • Experience working with GCP (preferred) or AWS cloud platforms.
  • Strong understanding of CI/CD architecture and cloud-native infrastructure.
  • Proficiency in Python for automation and scripting.
  • Experience with monitoring and observability tools for logs, metrics, dashboards, and tracing.
  • Knowledge of Prometheus, Grafana, or New Relic.
  • Strong understanding of IAM, Secrets Management, RBAC, and container security.
  • Experience with autoscaling technologies such as HPA, Cluster Autoscaler, or KEDA.
  • Exposure to event-driven architecture, cloud architecture design, SOC2 compliance, FinOps, or AI/LLM infrastructure and GPU workloads is a plus.

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