Inherent Technologies
Job posted 3 days ago, be among the first 25 applicants.
Mandatory Areas
Must Have Skills: GCP DevOps Engineer
Skill 1: 5+ Years of experience in Google Cloud Platform
Skill 2: 10+ Years of experience in DevOps
Skill 3: 6+ Years of experience with containerization (Docker) and orchestration (Kubernetes)
Good To Have Skills: None specified.
Domain Experience & Certifications: None specified.
Prior UST experience: Y/N (not specified).
Expertise
Expertise in Google Cloud Platform (GCP), Terraform, Python scripting, and container platforms.
Hands‑on experience in multi‑cloud environments, on‑prem to cloud migration, and managing CI/CD pipelines across multiple applications.
Strong communication skills and the ability to lead distributed teams.
Key Responsibilities
Design, implement, and manage Infrastructure as Code (IaC) using Terraform across GCP and other cloud platforms.
Lead on-prem to cloud migration initiatives, ensuring minimal disruption and optimal performance.
Develop and maintain CI/CD pipelines using tools like Jenkins, GitHub Actions, or GitLab CI.
Automate infrastructure provisioning, configuration, and deployment using Python and other scripting languages.
Manage container platforms (Docker, Kubernetes) for scalable application deployment.
Implement and enforce IAM policies, security best practices, and compliance standards.
Monitor system performance, troubleshoot issues, and optimize cloud resources.
Collaborate with on‑site and offshore teams to ensure seamless delivery across time zones.
Support multiple applications in a multi‑cloud environment (GCP, AWS, Azure).
Troubleshoot firewall and networking issues by working closely with infrastructure, security, and networking teams.
Integrate and support AI/ML workflows, including model deployment, data pipelines, and resource scaling.
Document processes, configurations, and architectural decisions.
Required Skills & Qualifications
5-10 years of experience in DevOps, Cloud Engineering, or Infrastructure Automation.
Strong hands‑on experience with Google Cloud Platform (GCP). Proficiency in Terraform for IaC and Python for automation.
Experience with containerization (Docker) and orchestration (Kubernetes). Solid understanding of IAM, networking, and cloud security principles.
Proven track record in CI/CD pipeline development and maintenance. Experience in multi‑cloud environments and on‑prem to cloud migration.
Familiarity with monitoring tools (Prometheus, Grafana, ELK). Excellent communication and leadership skills.
Experience working in Agile/Scrum environments.
Exposure to AI/ML tools such as TensorFlow, PyTorch, Vertex AI, or Kubeflow.
Preferred Tools & Technologies: Cloud platforms: GCP, AWS, Azure; IaC: Terraform; Automation: Terraform, Python, Ansible; CI/CD: Jenkins, GitHub Actions, GitLab CI; Containers: Docker, Kubernetes; Monitoring & Logging: Prometheus, Grafana, ELK Stack; Version Control: Git, Bitbucket; Collaboration: Jira, Confluence, Slack, Microsoft Teams; Shape Nice to Have: Certifications in GCP, Terraform, or Kubernetes.
Experience with service mesh (Istio, Linkerd). Exposure to retail or enterprise‑scale application.
Seniority Level Mid‑Senior level
Employment Type Full-time
Job Function Engineering and Information Technology
Referrals increase your chances of interviewing by 2x.
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Mandatory Areas
Must Have Skills: GCP DevOps Engineer
Skill 1: 5+ Years of experience in Google Cloud Platform
Skill 2: 10+ Years of experience in DevOps
Skill 3: 6+ Years of experience with containerization (Docker) and orchestration (Kubernetes)
Good To Have Skills: None specified.
Domain Experience & Certifications: None specified.
Prior UST experience: Y/N (not specified).
Expertise
Expertise in Google Cloud Platform (GCP), Terraform, Python scripting, and container platforms.
Hands‑on experience in multi‑cloud environments, on‑prem to cloud migration, and managing CI/CD pipelines across multiple applications.
Strong communication skills and the ability to lead distributed teams.
Key Responsibilities
Design, implement, and manage Infrastructure as Code (IaC) using Terraform across GCP and other cloud platforms.
Lead on-prem to cloud migration initiatives, ensuring minimal disruption and optimal performance.
Develop and maintain CI/CD pipelines using tools like Jenkins, GitHub Actions, or GitLab CI.
Automate infrastructure provisioning, configuration, and deployment using Python and other scripting languages.
Manage container platforms (Docker, Kubernetes) for scalable application deployment.
Implement and enforce IAM policies, security best practices, and compliance standards.
Monitor system performance, troubleshoot issues, and optimize cloud resources.
Collaborate with on‑site and offshore teams to ensure seamless delivery across time zones.
Support multiple applications in a multi‑cloud environment (GCP, AWS, Azure).
Troubleshoot firewall and networking issues by working closely with infrastructure, security, and networking teams.
Integrate and support AI/ML workflows, including model deployment, data pipelines, and resource scaling.
Document processes, configurations, and architectural decisions.
Required Skills & Qualifications
5-10 years of experience in DevOps, Cloud Engineering, or Infrastructure Automation.
Strong hands‑on experience with Google Cloud Platform (GCP). Proficiency in Terraform for IaC and Python for automation.
Experience with containerization (Docker) and orchestration (Kubernetes). Solid understanding of IAM, networking, and cloud security principles.
Proven track record in CI/CD pipeline development and maintenance. Experience in multi‑cloud environments and on‑prem to cloud migration.
Familiarity with monitoring tools (Prometheus, Grafana, ELK). Excellent communication and leadership skills.
Experience working in Agile/Scrum environments.
Exposure to AI/ML tools such as TensorFlow, PyTorch, Vertex AI, or Kubeflow.
Preferred Tools & Technologies: Cloud platforms: GCP, AWS, Azure; IaC: Terraform; Automation: Terraform, Python, Ansible; CI/CD: Jenkins, GitHub Actions, GitLab CI; Containers: Docker, Kubernetes; Monitoring & Logging: Prometheus, Grafana, ELK Stack; Version Control: Git, Bitbucket; Collaboration: Jira, Confluence, Slack, Microsoft Teams; Shape Nice to Have: Certifications in GCP, Terraform, or Kubernetes.
Experience with service mesh (Istio, Linkerd). Exposure to retail or enterprise‑scale application.
Seniority Level Mid‑Senior level
Employment Type Full-time
Job Function Engineering and Information Technology
Referrals increase your chances of interviewing by 2x.
#J-18808-Ljbffr