DevOps Engineer

product and engineering-driven AdTech company

front end (UI), back end (Java/Node.js APIs), Big Data, and DevOps/SRE

Role Overview

DevOps Engineer

Objectives

• Design and manage scalable, cloud-native infrastructure using GCP, Kubernetes, and Argo CD.
• Implement observability and monitoring tools (ELK, Prometheus, Grafana) for complete system visibility.
• Enable real-time data pipelines using Apache Kafka and GCP DataProc.
• Automate CI/CD pipelines using GitHub Actions with GitOps best practices.
  

Responsibilities

• Build, manage, and monitor Kubernetes (GKE) clusters and containerized workloads with Argo CD.
• Design and maintain CI/CD pipelines using GitHub Actions + GitOps.
• Configure and manage real-time streaming pipelines with Apache Kafka and GCP DataProc.
• Manage logging/observability infrastructure with Elasticsearch, Logstash, and Kibana (ELK stack).
• Secure and optimize GCP services including Artifact Registry, Compute Engine, Cloud Storage, VPC, and IAM.
• Implement caching and session stores using Redis for scalability.
• Monitor system health, availability, and performance with Prometheus, Grafana, ELK.
• Collaborate with engineering and QA teams to streamline deployments.
• Automate infrastructure provisioning using Terraform, Bash, or Python.
• Maintain backup, failover, and disaster recovery strategies for production.
  

Qualifications

• Bachelor’s degree in Computer Science, Engineering, or related technical field.
• 4–8 years’ experience in DevOps, Cloud Infrastructure, or Site Reliability Engineering.
• Strong experience with Google Cloud Platform (GCP) 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 for distributed caching/session management.
• Skilled in scripting/automation with Bash, Python, Terraform.
• Strong understanding of containerization, infrastructure-as-code, and monitoring.
• Familiarity with cloud security, IAM policies, and compliance best practices.