- Bachelor’s degree in computer science, Engineering, or a related field (or equivalent work experience).
Experience with Google Cloud Platform using its services such as Data Proc- Good to have and Data Flow, BigQuery ( Mandatory)- etc.
Expertise in public cloud IaaS, PaaS and SaaS tools and environments, particularly with Google Cloud Platform (GCP).
Experienced in DevOps tools such as Jenkins, Gitlab/Github, Nexus or equivalent CI/CD tools.
Experience in Infrastructure-as-code (IaC) tools such as Terraform, Ansible ( good to have) etc.
Experienced in Containerization using Docker and Kubernetes。
Strong software development experience in Python programming languages.
Experience with Unix-based systems, including bash programming.
Experience of writing SQL scripts preferably knowledge of Big Query.
Worked in an Agile environment.
Exceptional communication skills and proven track record of presenting to clients and executive-level leadership.
Exposure to SDLC and continuous delivery toolsets: GitLab CI, TravisCI, CircleCI and Jenkins or comparable tools.
Developer background, 3+ years of experience using automation scripting languages: Python, Ansible, Bash or similar.
Must understand Agile/SCRUM methodologies.
Strong experience with cloud solution design patterns (microservices, messaging, distributed caching, containers, IAM etc.).
5+ years of experience with infrastructure as code development.
Experience with monitoring tools like Grafana, Prometheus – Good to have.
Preferred Qualifications:
Certifications in relevant areas such as GCP Certified DevOps Engineer/Cloud Architect, Certified Kubernetes Administrator (CKA), or Certified Jenkins Engineer.
Experience with infrastructure monitoring and logging tools.
Knowledge of security best practices and tools.
Experience with agile methodologies and DevOps practices.
Familiarity with relational and NoSQL databases.
Experience with configuration management tools such as Ansible, Puppet, or Chef.
Preferred Experience/knowledge on GCP components like K8s,GCE, GKE, GCS, Big Query, Bigtable, Airflow, Dataflow, Dataproc, Cloud SQL and Google Cloud SDK.
Requirements:
Bachelor’s degree in computer science, Engineering, or a related field (or equivalent work experience).
Experience with Google Cloud Platform using its services such as Data Proc- Good to have and Data Flow, BigQuery ( Mandatory)- etc.
Expertise in public cloud IaaS, PaaS and SaaS tools and environments, particularly with Google Cloud Platform (GCP).
Experienced in DevOps tools such as Jenkins, Gitlab/Github, Nexus or equivalent CI/CD tools.
Experience in Infrastructure-as-code (IaC) tools such as Terraform, Ansible ( good to have) etc.
Experienced in Containerization using Docker and Kubernetes.
Strong software development experience in Python programming languages.
Experience with Unix-based systems, including bash programming.
Experience of writing SQL scripts preferably knowledge of Big Query.
Worked in an Agile environment.
Exceptional communication skills and proven track record of presenting to clients and executive-level leadership.
Exposure to SDLC and continuous delivery toolsets: GitLab CI, TravisCI, CircleCI and Jenkins or comparable tools.
Developer background, 3+ years of experience using automation scripting languages: Python, Ansible, Bash or similar.
Must understand Agile/SCRUM methodologies.
Strong experience with cloud solution design patterns (microservices, messaging, distributed caching, containers, IAM etc.).
5+ years of experience with infrastructure as code development.
Experience with monitoring tools like Grafana, Prometheus – Good to have.