About the role

DevOps Engineer

We are seeking an experienced DevOps Engineer with 3-7 years of hands-on experience in cloud infrastructure, infrastructure as code, and observability solutions. You will be responsible for designing, deploying, and maintaining robust cloud infrastructure while implementing comprehensive monitoring, logging, and orchestration solutions.

Position Overview

Key Responsibilities

Design, deploy, and manage cloud infrastructure using AWS, Azure, or GCP with a focus on scalability, reliability, and cost optimization.
Develop and maintain Infrastructure as Code (IaC) using Terraform across multi-cloud environments.
Implement and manage comprehensive observability solutions using LangFuse, Prometheus, and Grafana for real-time system monitoring.
Configure and manage CI/CD pipelines using GitHub Actions for automated testing, building, and deployment.
Utilize Harness for advanced deployment orchestration, feature flags, and pipeline management.
Develop automation scripts in Python or Bash Shell to streamline operational tasks and reduce manual overhead.
Establish and maintain monitoring alerts, dashboards, and runbooks for proactive incident management.
Troubleshoot and resolve production issues while maintaining high system availability.
Collaborate with software development teams to ensure smooth deployment processes and operational best practices.

Required Qualifications

3-7 years of professional DevOps or Infrastructure Engineering experience.
Hands-on experience with at least one cloud platform: AWS, Azure, or Google Cloud Platform (GCP).
Strong proficiency with Terraform for Infrastructure as Code, including module development and state management.
Demonstrated experience setting up and managing LangFuse for LLM observability and monitoring.
Hands-on experience with Prometheus for metrics collection and time-series data.
Experience with Grafana for creating dashboards, alerts, and visualization of monitoring data.
Practical experience with Harness for deployment orchestration and pipeline automation.
Proficiency with GitHub Actions for building and deploying CI/CD pipelines.
Strong scripting skills in Python or Bash Shell for automation and infrastructure management.
Understanding of containerization technologies (Docker, Kubernetes) is highly valued.
Solid understanding of networking, security best practices, and compliance requirements.