Location : Remote - Pune

Job Type : Full-Time

Shift Timing : 2:00 PM - 11:00 PM

Job Overview :

We are looking for an Infrastructure Engineer to design, provision, secure, and maintain scalable cloud infrastructure supporting data engineering and AI/ML workloads.

The ideal candidate should have hands-on experience with GCP, Terraform, Kubernetes, cloud networking, CI/CD automation, and infrastructure monitoring.

Key Responsibilities :

- Design, provision, and manage cloud infrastructure using Infrastructure as Code tools such as Terraform or Pulumi.

- Deploy and manage containerized applications and data workloads on Kubernetes, preferably Google Kubernetes Engine (GKE).

- Configure Kubernetes deployments, namespaces, autoscaling, resource quotas, health checks, and resource limits.

- Design and maintain cloud networking components, including VPCs, subnets, firewall rules, Cloud NAT, and private connectivity.

- Implement IAM policies, service account governance, secrets management, and least-privilege access controls.

- Build and maintain CI/CD and GitOps workflows using GitHub Actions, Argo CD, Terraform Cloud, or equivalent tools.

- Monitor infrastructure performance, availability, and resource utilization using Cloud Monitoring, Prometheus, and Grafana.

- Implement infrastructure observability, alerting, backup, disaster recovery, and high-availability strategies.

- Optimize cloud resource utilization and costs through right-sizing, budget alerts, and cost attribution.

- Maintain consistent infrastructure configurations across development, staging, and production environments.

- Collaborate with Data Engineering, AI/ML, Security, and Platform teams to ensure reliable and compliant infrastructure.

Required Qualifications :

- 4 - 6 years of experience in cloud infrastructure, DevOps, platform engineering, or infrastructure automation.

- Hands-on experience with GCP; AWS or Azure experience may be considered.

- Strong experience with Terraform or another Infrastructure as Code tool.

- Practical experience deploying and managing containerized workloads using Kubernetes.

- Understanding of cloud networking, including VPCs, subnets, firewall rules, DNS, and private connectivity.

- Experience with IAM roles, service accounts, secrets management, and cloud security practices.

- Experience developing CI/CD pipelines and automating infrastructure deployments.

- Familiarity with monitoring and alerting tools such as Prometheus, Grafana, or cloud-native monitoring services.

- Understanding of high availability, disaster recovery, backup strategies, and cloud cost optimization.

Preferred Qualifications :

- Experience with GKE, Cloud SQL, Cloud Storage, BigQuery, and other GCP services.

- Familiarity with VPC Service Controls, Shared VPC, and private Google Access.

- Experience with GitOps tools such as Argo CD or Flux.

- Exposure to infrastructure supporting data platforms, ML pipelines, or model-serving workloads.

- Knowledge of SOC 2, HIPAA, or other enterprise security and compliance requirements.

- Familiarity with FinOps practices and multi-environment Terraform management.

Education :

- Bachelor's degree in Computer Science, Information Technology, Cloud Computing, or a related field, or equivalent practical experience