GCP DevOps Lead Programmer Analyst (Hyderabad)

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