About Us :

We love going to work and think you should too. Our team is dedicated to trust, customer obsession, agility, and striving to be better everyday. These values serve as the foundation of our culture, guiding our actions and driving us towards excellence. We foster a culture of performance and recognition, allowing us to transform growth as we enable our employees to do the best work of their careers.

This position is located in Bangalore. You'll be working in a major tech center of Bangalore, India. Across the globe, our Centers of Energy serve as hubs where we accelerate productivity and collaboration, inspire creativity, and cultivate a culture of connection and celebration. Our teams coordinate their time in Centers of Energy to reflect how they work best.

What You'll Do :

LogicMonitor is the AI-first hybrid observability platform powering the next generation of digital infrastructure. LogicMonitor delivers complete visibility and actionable intelligence across on-premises, cloud, and edge environments. By anticipating issues before they strike, optimizing resources in real time, and enabling faster, smarter decisions, LogicMonitor helps IT and business leaders protect margins, accelerate innovation, and deliver exceptional digital experiences without compromise.

Our customers love LogicMonitor's ability to bring cloud and traditional IT together into one view, as seen in minimal churn rates, expansion business, and exciting new customer references. In fact, LogicMonitor has received the highest Net Promoter Score of any IT Infrastructure Management provider. LogicMonitor also boasts high employee satisfaction. We have been certified as a Great Place To Work, and named one of BuiltIn's Best Places to Work for the seventh year in a row!

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.

Here's a closer look at this key role :

- 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 Role-Based Access Control (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.