Virtusa
We are seeking a smart proactive and quick thinking DevOps Engineer to join our team and help drive the success of our cloud native application platform. This role is ideal for someone who thrives in fast paced environments, is comfortable juggling multiple priorities and can seamlessly switch contexts, especially when working across complex integrations involving Salesforce middleware and cloud infrastructure. You'll be responsible for managing and optimizing a platform that integrates Salesforce with Kubernetes, Kafka, Spring Boot, Mulesoft and Google Cloud Platform (GCP) services. Strong communication skills and the ability to collaborate across teams are essential.
Key Responsibilities
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; Collaborate with cross-functional teams to support agile development, testing and deployment processes Participate in incident response, root cause analysis and continuous improvement initiatives Learn new technologies and stay up to date with latest industry trends Qualifications
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 Strong hands-on experience with GCP and cloud-native architectures Proficiency in Salesforce development and deployment (Apex, LWC and tooling SFDX CLI) Experience with middleware platforms Kafka, Spring Boot, Mulesoft 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 Experience following Agile development practices with globally distributed teams Excellent communication skills; able to communicate effectively with a range of stakeholders from management to other engineers and present to both technical and non-technical audiences Solid organizational time management and judgment skills Ability to work independently and in a team environment Certifications in GCP, AWS or Azure Certification in Salesforce Experience with AI/ML services like Vertex AI, CCAI or Dialogflow
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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; Collaborate with cross-functional teams to support agile development, testing and deployment processes Participate in incident response, root cause analysis and continuous improvement initiatives Learn new technologies and stay up to date with latest industry trends Qualifications
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 Strong hands-on experience with GCP and cloud-native architectures Proficiency in Salesforce development and deployment (Apex, LWC and tooling SFDX CLI) Experience with middleware platforms Kafka, Spring Boot, Mulesoft 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 Experience following Agile development practices with globally distributed teams Excellent communication skills; able to communicate effectively with a range of stakeholders from management to other engineers and present to both technical and non-technical audiences Solid organizational time management and judgment skills Ability to work independently and in a team environment Certifications in GCP, AWS or Azure Certification in Salesforce Experience with AI/ML services like Vertex AI, CCAI or Dialogflow
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