Job description

C1X AdTech Pvt Ltd is a fast-growing product and engineering-driven AdTech company building next-generation advertising and marketing technology platforms. Our mission is to empower enterprise clients with the smartest marketing solutions, enabling seamless integration with personalization engines and delivering cross-channel marketing capabilities. We focus on enhancing customer engagement, system reliability, and delivering scalable, high-performance products that increase customer Lifetime Value (LTV).

Our engineering team covers front end (UI), back end (Java/Node.js APIs), Big Data, and DevOps/SRE, working together to build world-class platforms for digital advertising and marketing.

Role Overview
As a DevOps Engineer, you will be responsible for managing cloud-native infrastructure, supporting CI/CD pipelines, and ensuring system reliability and scalability. You will automate deployment processes, maintain server environments, monitor performance, and collaborate with development and QA teams across the product lifecycle.

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.

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