Lead DevOps Engineer - GCP
TypeFull-time job
LocationSri Lanka
Posted3 hours ago
Responsible for leading and managing the DevOps team in implementing and maintaining the cloud infrastructure on Google Cloud Platform (GCP)
Work closely with development teams to ensure smooth integration of
Design and implement automated deployment processes and tools to
Monitor and troubleshoot system issues, ensuring high availability and
Develop and maintain infrastructure as code using tools like Terraform
Collaborate with cross-functional teams to identify and implement best practices for continuous integration and delivery
Manage and optimize cost of GCP services through effective resource allocation and utilization
Stay updated with the latest GCP technologies and recommend ways to leverage them for business growth
Train and mentor team members on GCP best practices, tools and processes
Participate in on-call rotation to provide 24/7 support for critical system issues
Ensure compliance with security and regulatory standards for GCP infrastructure
Drive innovation and process improvements to enhance the overall
Requirements
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
Originally posted on Himalayas
Work closely with development teams to ensure smooth integration of
Design and implement automated deployment processes and tools to
Monitor and troubleshoot system issues, ensuring high availability and
Develop and maintain infrastructure as code using tools like Terraform
Collaborate with cross-functional teams to identify and implement best practices for continuous integration and delivery
Manage and optimize cost of GCP services through effective resource allocation and utilization
Stay updated with the latest GCP technologies and recommend ways to leverage them for business growth
Train and mentor team members on GCP best practices, tools and processes
Participate in on-call rotation to provide 24/7 support for critical system issues
Ensure compliance with security and regulatory standards for GCP infrastructure
Drive innovation and process improvements to enhance the overall
Requirements
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
Originally posted on Himalayas
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