Lead Site reliability Engg (GCP Ops, Terraform,Python,GitHub Actions)

Position Overview:

Key Responsibilities:

• Design, deploy, and maintain Kubernetes-based infrastructure to ensure high availability and scalability of applications.
• Build and manage CI/CD pipelines using GitHub Actions to enable fast and reliable deployments.
• Use Terraform to provision and manage infrastructure in Google Cloud Platform (GCP).
• Manage and optimize Apache Kafka-based systems to ensure reliable message streaming and data processing.
• Monitor and improve system performance and reliability using Prometheus and Grafana.
• Collaborate with developers to automate workflows and implement best practices for infrastructure-as-code (IaC).
• Write Python scripts for automation and tooling to enhance operational efficiency.
• Troubleshoot and resolve system issues to minimize downtime and impact on users.
• Participate in on-call rotations and incident response to ensure high service reliability.

Required Skills & Qualifications:

• Familiarity with Google Cloud Platform (GCP) services such as Compute Engine, Kubernetes Engine, and Cloud Storage.
• Hands-on experience with Kubernetes for deploying and managing containerized applications.
• Understanding of GitHub Actions for creating and maintaining CI/CD pipelines.
• Basic to intermediate knowledge of Terraform for infrastructure provisioning and management.
• Proficiency in Python for scripting, automation, and tooling.
• Experience with Apache Kafka for building, maintaining, and troubleshooting message-driven systems.
• Experience using Prometheus and Grafana for monitoring and observability.
• Strong problem-solving skills and an eagerness to learn new technologies.
• Excellent communication and teamwork skills.

Nice-to-Have Skills (Optional):

• Familiarity with other cloud providers (e.g., AWS or Azure).
• Knowledge of Helm for Kubernetes package management.
• Experience with debugging and optimizing distributed systems.
• Exposure to security best practices for cloud infrastructure.
• Knowledge of Java for developing and troubleshooting backend systems.
• Familiarity with

  DataHub

  or similar data cataloging and metadata management platforms.
• Understanding of Artificial Intelligence (AI) concepts and tools, such as building or managing machine learning pipelines, integrating AI models, or working with ML platforms like TensorFlow, PyTorch, or Vertex AI.
• Experience with

  Golang

  for developing infrastructure tools or cloud-native applications.

Education & Experience:

• Bachelor's degree in Computer Science, Information Technology, or related field (or equivalent work experience).
• 1-3 years of experience in DevOps, SRE, or related roles (internships and project experience are acceptable for entry-level candidates).