Design, implement, and maintain cloud infrastructure on Google Cloud Platform (GCP).
Develop infrastructure as code using Terraform and Ansible.
Build and manage CI / CD pipelines using Git and Jenkins, ensuring seamless integration and deployment workflows.
Work with Docker and Kubernetes for containerization, orchestration, and scaling of services.
Implement and manage web servers and reverse proxies such as Nginx and Apache.
Monitor system health using Prometheus, Grafana, and other cloud-native observability tools.
Ensure security best practices for cloud services and Kubernetes environments are followed.
Support and manage logging infrastructure using ELK (Elasticsearch, Logstash, Kibana) stack at scale.
Troubleshoot infrastructure issues and provide solutions in collaboration with development teams.
Contribute to cost optimization, high availability, and performance tuning of cloud services.
Utilize distributed tracing and APM tools to monitor application performance and resolve issues proactively.
Manage and maintain distributed messaging systems like Kafka and task queues.
Collaborate with cross-functional teams to design infrastructure and deployment strategies that support business goals.
Work with SQL and NoSQL databases like MySQL and MongoDB, with a basic understanding of their deployment and management.
Understanding of Microsoft Azure is a Skills & Experience :
58 years of experience in DevOps, SRE, or Cloud Engineering roles.
Hands-on experience with GCP infrastructure and services.
Proficiency in Python and at least one additional language (e.g., Node.js, Go, or Shell
scripting).
Experience with Terraform and Ansible for IaC and configuration management.
Strong background in containerization and orchestration tools (Docker, Kubernetes).
Working experience with Nginx, Apache, and reverse proxies.
Deep understanding of cloud security and Kubernetes security controls.
Experience with Prometheus, Grafana, and monitoring / alerting systems.
Knowledge of APM tools and distributed tracing methodologies.
Experience with ELK stack (Elasticsearch, Logstash, Kibana) at scale.
Exposure to Kafka or other messaging / queue systems.
Working knowledge of MySQL, MongoDB, or other relational / NoSQL databases.
Basic understanding of Microsoft Azure cloud Qualifications :
Bachelors degree in Computer Science, Engineering, or a related field.
Certification in GCP or Kubernetes is a plus.
Experience working in Agile / Scrum environments.
Strong problem-solving, communication, and collaboration skills.
(ref : hirist.tech)
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