Job Description: GCP DevOps – Technical Lead (Exp: 8 Years to 12 Years)
We are looking for a highly skilled and experienced GCP DevOps as a Technical Lead.
Key Skills: GCP DevOps, Dataflow, BigQuery, Pub/Sub, Jenkins, Gitlab/Github, Nexus or equivalent CI/CD tools, Terraform, Docker and Kubernetes.
Technical Expertise:
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Experience should have 5 to 8 years of Cloud DevOps.
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Proven experience with GCP services, particularly BigQuery, Pub/Sub..etc.
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Strong understanding of cloud solution design patterns and DevOps best practices.
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Hands-on experience with CI/CD pipelines using Jenkins, GitLab, or similar tools.
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Proficiency in Python and Bash scripting.
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Solid knowledge of container orchestration tools like Kubernetes.
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Familiarity with monitoring and logging tools (Grafana, Prometheus).
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Excellent communication and client-facing skills.
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Demonstrated experience working in an Agile/SCRUM environment.
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Experience with Google Dataproc.
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Experience with Ansible for configuration management.
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Familiarity with other CI tools like TravisCI, CircleCI.
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Monitor systems using tools such as Grafana and Prometheus.
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Understanding on the SDLC.
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Understanding on the Agile methodologies.
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Communication with customer and producing the Daily status report.
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Should have good oral and written communication.
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Should be a good team player.
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Should be proactive and adaptive.
Key Responsibilities:
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Design, build, and maintain scalable infrastructure solutions using GCP services including BigQuery (mandatory), DataFlow.
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Implement Infrastructure as Code (IaC) using tools such as Terraform.
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Automate deployment pipelines using Jenkins, GitLab CI/CD, Nexus, or equivalent tools.
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Develop and maintain automation scripts using Python, Bash, and optionally Ansible.
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Manage and orchestrate containerized applications using Docker and Kubernetes.
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Write efficient SQL scripts, preferably for BigQuery.
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Operate within Unix/Linux environments, including shell scripting.
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Collaborate in an Agile/SCRUM development environment.
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Present solutions and technical designs to internal stakeholders and executive leadership.
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Design and implement cloud-native architectures using microservices, distributed caching, messaging, IAM, and other cloud design patterns.
