Job description

MonotaRO Technologies India Private Limited is a global technology company which is a subsidiary of MonotaRO Co., Ltd. Our mission is to empower enterprise clients with the smartest marketing platform, enabling seamless integration with our personalization engines and delivering cross-channel marketing capabilities.

We are dedicated to enhancing customer engagement and experiences while focusing on increasing Lifetime Value (LTV) through consistent messaging across all channels. We are a world-class engineering team that encompasses front end (UI), back end (API / Java), and Big Data engineering to deliver compelling products.

As a DevOps engineer, you will be responsible for managing our infrastructure, supporting development pipelines, and ensuring system reliability and also responsible for automating deployment processes, maintaining server environments, monitoring system performance, and supporting engineering operations across the development lifecycle.

Objectives:

Design and manage scalable, cloud-native infrastructure using GCP services, Kubernetes, and Argo CD for high-availability applications.
Implement and monitor observability tools (Elasticsearch, Logstash, Kibana) to provide full system visibility and support performance tuning.
Enable real-time data streaming and processing pipelines using Apache Kafka and GCP DataProc.
Automate CI/CD pipelines using GitHub Actions and Argo CD for faster, secure, and auditable releases across dev and production environments.

Responsibilities:

Build, manage, and monitor Kubernetes clusters and containerized workloads using GKE and Argo CD.
Design and maintain CI/CD pipelines using GitHub Actions integrated with GitOps practices and Argo CD.
Configure and maintain real-time data pipelines using Apache Kafka and GCP DataProc.
Manage logging and observability infrastructure using Elasticsearch, Logstash, and Kibana (ELK stack).
Set up and secure GCP services including Artifact Registry, Compute Engine, Cloud Storage, VPC, and IAM.
Implement caching and session stores using Redis to optimize performance and scalability.
Monitor system health, availability, and performance with tools like Prometheus, Grafana, and ELK.
Collaborate with development and QA teams to streamline deployment processes and environment stability.
Automate infrastructure provisioning and configuration using Bash, Python, or Terraform.
Maintain backup, failover, and recovery strategies for production environments.

Qualifications

Bachelor's degree in Computer Science, Engineering, or a related technical field.
4–8 years of experience in DevOps, Cloud Infrastructure, or Site Reliability Engineering.
Strong experience with Google Cloud Platform (GCP) services including GKE, IAM, VPC, Artifact Registry, and DataProc.
Hands-on with Kubernetes, Argo CD, and GitHub Actions for CI/CD workflows.
Proficiency with Apache Kafka for real-time data streaming.
Experience managing ELK Stack (Elasticsearch, Logstash, Kibana) in production.
Working knowledge of Redis and its role in distributed caching and session management.
Skilled in scripting/automation using Bash, Python, Terraform, etc.
Solid understanding of containerization, infrastructure-as-code, and system monitoring.
Familiarity with cloud security, IAM policies, and audit/compliance best practices.

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