Usage of Conventional AI
Virtusa utilizes Artificial Intelligence (AI) technology for the purpose of conducting candidate pre-employment assessments. This AI may include both text-based and voice-based functionalities. The AI technology will have access to the data that you upload or provide during your interaction with the AI bot and will use such data solely for the purpose of performing assessment in accordance with Virtusa policies and practices. The AI is not used to substantially assist or replace discretionary employment decisions. Read our full employee privacy policy here.
Job description
Responsibilities:
Design, deploy, and manage scalable and secure solutions on Google Cloud Platform (GCP), utilizing services such as Cloud Run, Vertex AI, BigQuery, and Cloud Functions.
Develop and maintain CI/CD pipelines using GitLab for automated application deployment, testing, and release management.
Automate infrastructure provisioning and configuration management using Terraform.Develop and maintain robust Python scripts for automating various cloud operations, pipeline orchestration, and system integrations.
Provide support for both Linux and Windows operating systems, including troubleshooting, patching, and performance optimization.
Collaborate with development, operations, and data science teams to ensure seamless integration and optimal performance of cloud-based solutions.
Participate in on-call rotations and incident response as needed to ensure high availability of critical systems.
Continuously research and recommend new technologies and best practices to improve our cloud infrastructure and operational efficiency.
Document cloud architecture, processes, and operational procedures.
Skills: Bachelor's degree in Computer Science, Information Technology, or a related field, or equivalent practical experience.
6-10 years of experience in a Cloud Engineer, DevOps Engineer, or similar role.
Experience with any Cloud Service Providers (AWS, Azure, GCP
Strong experience in designing and implementing CI/CD pipelines using GitLab.
Proficiency in Linux and Windows operating system administration.
Preferred Skills
Google Cloud Platform (GCP) services including Cloud Run Vertex AI BigQuery and Cloud Functions
GCP certifications (e.g., Professional Cloud Engineer, Professional Cloud Architect
Experience with containerization technologies (e.g., Podman, GKE
Knowledge of networking concepts in a cloud environment.
Shift Requirement
3PM to 12 midnight
Qualification
Responsibilities:
Design, deploy, and manage scalable and secure solutions on Google Cloud Platform (GCP), utilizing services such as Cloud Run, Vertex AI, BigQuery, and Cloud Functions.
Develop and maintain CI/CD pipelines using GitLab for automated application deployment, testing, and release management.
Automate infrastructure provisioning and configuration management using Terraform.Develop and maintain robust Python scripts for automating various cloud operations, pipeline orchestration, and system integrations.
Provide support for both Linux and Windows operating systems, including troubleshooting, patching, and performance optimization.
Collaborate with development, operations, and data science teams to ensure seamless integration and optimal performance of cloud-based solutions.
Participate in on-call rotations and incident response as needed to ensure high availability of critical systems.
Continuously research and recommend new technologies and best practices to improve our cloud infrastructure and operational efficiency.
Document cloud architecture, processes, and operational procedures.
Skills: Bachelor's degree in Computer Science, Information Technology, or a related field, or equivalent practical experience.
6-10 years of experience in a Cloud Engineer, DevOps Engineer, or similar role.
Experience with any Cloud Service Providers (AWS, Azure, GCP
Strong experience in designing and implementing CI/CD pipelines using GitLab.
Proficiency in Linux and Windows operating system administration.
Preferred Skills
Google Cloud Platform (GCP) services including Cloud Run Vertex AI BigQuery and Cloud Functions
GCP certifications (e.g., Professional Cloud Engineer, Professional Cloud Architect
Experience with containerization technologies (e.g., Podman, GKE
Knowledge of networking concepts in a cloud environment.
Shift Requirement
3PM to 12 midnight
Key job details
About Virtusa
Teamwork, quality of life, professional and personal development: values that Virtusa is proud to embody. When you join us, you join a team of 30,000 people globally that cares about your growth — one that seeks to provide you with exciting projects, opportunities and work with state of the art technologies throughout your career with us.
Great minds, great potential: it all comes together at Virtusa. We value collaboration and the team environment of our company, and seek to provide great minds with a dynamic place to nurture new ideas and foster excellence.
Virtusa is an Equal Opportunity Employer. All applicants will receive fair and impartial treatment without regard to race, color, religion, sex, national origin, ancestry, age, legally protected physical or mental disability, protected veteran status, status in the U.S. uniformed services, sexual orientation, gender identity or expression, marital status, genetic information or on any other basis which is protected under applicable federal, state or local law.
Applicants may be required to attend interviews in person or by video conference. In addition, candidates may be required to present their current state or government-issued ID during each interview. All candidates must be authorized to work in the USA.
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