DevOps cum GCP Engineer

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. 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 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. 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. Preferred Qualifications Certifications in GCP, AWS, or Azure. Certification in Salesforce Experience with AI/ML services like Vertex AI, CCAI, or Dialog flow