Data Engineer - GCP mfd

Responsibilities:

• IaC: Automate infrastructure provisioning using Terraform, Ansible, or CloudFormation.
• Cloud Management: Deploy, manage, and optimize Java applications on AWS, Azure, or GCP.
• Containerization & Orchestration: Implement Docker and Kubernetes for containerized deployments.
• Monitoring & Logging: Set up and manage monitoring tools like Prometheus, Grafana, ELK Stack, or Datadog for system observability.
• Performance Optimization: Ensure high availability, scalability, and security of Java applications.
• Scripting & Automation: Write scripts using Shell, Python, or Groovy for automation tasks.
• Collaboration: Work closely with developers to improve code deployment and application lifecycle management.
• Security & Compliance: Implement DevSecOps practices to ensure secure code deployment and compliance with industry standards.

Skills & Qualifications:

• Strong experience with Java (Spring Boot, Microservices) in a DevOps environment.
• Hands-on expertise with CI/CD tools (Jenkins, GitLab CI/CD, Bamboo, CircleCI).
• Proficiency in containerization and orchestration (Docker, Kubernetes, Helm).
• Experience with cloud platforms (AWS, GCP, Azure) and cloud-native services.
• Strong knowledge of infrastructure as code (IaC) (Terraform, Ansible, CloudFormation).
• Familiarity with monitoring & logging tools (Prometheus, Grafana, ELK Stack, Splunk).
• Experience with Linux system administration and scripting (Bash, Python, Groovy).
• Strong understanding of networking, load balancing, and security best practices.
• Experience with message brokers (Kafka, RabbitMQ).

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