Sr. DevOps Engineer

Job Summary

Artificial Intelligence, Bangalore, India

We are seeking a highly skilled Senior DevOps Engineer having 4+ years of experience to drive innovation, reliability, and security across our cloud infrastructure on the Edwin AI team at LogicMonitor. The ideal candidate has hands-on experience managing multi-cloud environments, automating infrastructure, and implementing modern DevOps practices that improve system performance, scalability, and cost efficiency.

Responsibilities

• Multi-Cloud Enablement: Expand and manage application hosting across AWS and Google Cloud, ensuring performance, flexibility, and resilience.
• Infrastructure as Code (IaC): Develop and maintain Terraform or similar installers for Azure and GCP to fully automate infrastructure deployments.
• Cost Optimization: Design and implement AWS cost optimization strategies, including reserved instances, right-sizing, and resource efficiency initiatives.
• Cloud Security: Strengthen infrastructure security with robust access controls, encryption, monitoring, and alerting frameworks.
• Observability: Build and enhance monitoring platforms with Grafana dashboards and Prometheus alerts for real-time performance insights and proactive issue resolution.
• Kubernetes Management: Implement RBAC and optimize Ingress controllers (Traefik or similar) for enhanced security and delivery resilience.
• Automation Scripting: Create Python and Bash scripts to automate repetitive tasks, streamline workflows, and improve operational efficiency.

What You'll Need

• 4+ years of experience in DevOps or similar roles
• Proven experience with AWS (preferred), and GCP in production environments.
• Strong expertise in Infrastructure as Code practices.
• Solid knowledge of Kubernetes (EKS), container orchestration, and cluster security.
• Hands-on experience with Grafana, Prometheus, and alerting/monitoring systems.
• Understanding of network connectivity over the private link endpoint, VPC, cross-account VPC connectivity, how to make things accessible internally, externally, etc.
• Experience in deploying automated Canary and Integration testing pipelines, CI/CD pipeline etc..
• Exposing internal self-hosted services like LangFuse via WebUI for internal users using Traefik or Ingress controller or any other tool
• Experience in deployment of LLM related solutions that require MCP, LangFuse, Airflow, GraphDB, VectorDB, Redis etc
• Experience working with developers on on-demand JIT access to Prod clusters to troubleshoot/debug issues with tools like Teleport or some other.
• Strong background in cloud security, access management, and encryption
• Proficiency in Python and Bash scripting for automation.
• Experience optimizing cloud infrastructure for performance and cost.

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.