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.
Senior DevOps Engineer – GCP
Job description
Design, implement, and manage cloud infrastructure on GCP, including Cloud Run, Pub/Sub, GCS, IAM, Redis, Load Balancing, and Vertex AI.
Support and optimize Salesforce development workflows and tools like SFDX, Salesforce CLI, and Force.com Migration Tool.
Manage containerized microservices using Kubernetes, Docker, and Cloud Run, integrated with Kafka, Spring Boot, and Mulesoft.
Build and maintain CI/CD pipelines using GitHub Actions, Jenkins, Maven, SonarQube, Checkmarx, and JFrog Artifactory
Manage source control and branching strategies using GitHub, ensuring code integrity, traceability, and collaboration across teams.
Implement and manage API gateways to support secure and scalable service integrations.
Automate infrastructure provisioning and configuration using IAC tooling such as Terraform.
Implement monitoring systems health and performance using Splunk, Dynatrace, and Datadog.
Ensure adherence to security best practices, including IAM, cloud, encryption, and secure networking.
Required Skills & Experience:
5+ years of experience in DevOps, cloud infrastructure, or platform engineering roles.
Proficiency with source control, continuous integration, and testing pipelines using tools such as: GitHub, GitHub Actions, Jenkins, Maven, SonarQube, and Checkmarx.
Solid understanding of container orchestration (Kubernetes, Docker) and CI/CD pipelines.
Proficient in scripting languages: Python, Bash, Groovy.
Familiarity with REST, JSON, and GraphQL APIs.
Strong grasp of cloud security, IAM, and networking principles.
Experience with monitoring and observability tools.
Ability to thrive in fast-paced environments with frequent context switching and complex integration challenges.
Excellent multitasking skills and the ability to manage several workstreams simultaneously.
Proven ability to analyze complex requirements and provide innovative solutions
Solid organizational, time management and judgment skills
Ability to work independently and in a team environment.
Preferred Qualifications:
Certifications in GCP, AWS, or Azure.
Certification in Salesforce
Experience with AI/ML services like Vertex AI, CCAI, or Dialogflow
Qualification
Design, implement, and manage cloud infrastructure on GCP, including Cloud Run, Pub/Sub, GCS, IAM, Redis, Load Balancing, and Vertex AI.
Support and optimize Salesforce development workflows and tools like SFDX, Salesforce CLI, and Force.com Migration Tool.
Manage containerized microservices using Kubernetes, Docker, and Cloud Run, integrated with Kafka, Spring Boot, and Mulesoft.
Build and maintain CI/CD pipelines using GitHub Actions, Jenkins, Maven, SonarQube, Checkmarx, and JFrog Artifactory
Manage source control and branching strategies using GitHub, ensuring code integrity, traceability, and collaboration across teams.
Implement and manage API gateways to support secure and scalable service integrations.
Automate infrastructure provisioning and configuration using IAC tooling such as Terraform.
Implement monitoring systems health and performance using Splunk, Dynatrace, and Datadog.
Ensure adherence to security best practices, including IAM, cloud, encryption, and secure networking.
Required Skills & Experience:
5+ years of experience in DevOps, cloud infrastructure, or platform engineering roles.
Proficiency with source control, continuous integration, and testing pipelines using tools such as: GitHub, GitHub Actions, Jenkins, Maven, SonarQube, and Checkmarx.
Solid understanding of container orchestration (Kubernetes, Docker) and CI/CD pipelines.
Proficient in scripting languages: Python, Bash, Groovy.
Familiarity with REST, JSON, and GraphQL APIs.
Strong grasp of cloud security, IAM, and networking principles.
Experience with monitoring and observability tools.
Ability to thrive in fast-paced environments with frequent context switching and complex integration challenges.
Excellent multitasking skills and the ability to manage several workstreams simultaneously.
Proven ability to analyze complex requirements and provide innovative solutions
Solid organizational, time management and judgment skills
Ability to work independently and in a team environment.
Preferred Qualifications:
Certifications in GCP, AWS, or Azure.
Certification in Salesforce
Experience with AI/ML services like Vertex AI, CCAI, or Dialogflow
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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