Senior Google Devops Engineer Jobs (NOW HIRING)

We are seeking a highly skilled Senior DevOps / Cloud Engineer to support and enhance our existing AWS-based workloads while helping establish and expand our upcoming Google Cloud Platform (Google Cloud Platform) environment. This role requires deep hands-on expertise in cloud infrastructure, CI/CD, automation, application deployment, security, compliance-driven engineering, and AI platform deployment and configuration management.

The ideal candidate will have strong experience in designing, building, automating, and supporting cloud-native and hybrid environments across AWS and Google Cloud Platform. This individual must be capable of working independently, owning technical deliverables end-to-end, and driving implementation of reliable, secure, scalable, and compliant DevOps practices.

Key Responsibilities

·       Support, maintain, and optimize existing AWS cloud workloads and infrastructure.

·       Assist in building and operationalizing Google Cloud Platform support capabilities for new and future workloads.

·       Design, implement, and manage CI/CD pipelines for application and infrastructure delivery.

·       Deploy, manage, and troubleshooting applications across AWS and Google Cloud Platform environments.

·       Automate infrastructure provisioning, configuration management, and operational tasks using tools such as Ansible and Python.

·       Implement and support Infrastructure as Code and environment standardization practices.

·       Support deployment, configuration, and operational management of AI and ML platforms and supporting infrastructure in cloud environments.

·       Automate provisioning, configuration, and lifecycle management for AI-enabled infrastructure and services.

·       Collaborate with engineering and platform teams to enable secure, scalable, and compliant environments for AI workloads, without requiring hands-on AI application or model development.

·       Ensure cloud environments and deployment processes align with security and compliance requirements, including regulated frameworks such as FedRAMP or similar.

·       Monitor system health, availability, and performance, and proactively resolve operational issues.

·       Create and maintain technical documentation, runbooks, architecture diagrams, and standard operating procedures.

·       Independently manage assigned work items, priorities, and deliverables with minimal supervision.

·       Contribute to platform engineering best practices, cloud governance, and automation strategy.

Required Qualifications

·       10+ years of overall IT experience, with significant focus on DevOps, cloud engineering, systems engineering, or platform engineering.

·       Strong hands-on experience supporting and deploying workloads in AWS.

·       Working knowledge or hands-on experience with Google Cloud Platform, including deployment and support of applications and cloud services.

·       Proven experience designing and implementing CI/CD processes and tools in enterprise environments.

·       Strong hands-on experience with automation and scripting using Ansible and Python.

·       Experience deploying, configuring, and supporting applications in cloud environments.

·       Experience supporting AI and ML platform deployments and configuration management, focused on infrastructure, automation, and operations rather than application or model development.

·       Strong understanding of infrastructure automation, configuration management, release engineering, and platform operations.

·       Experience working in compliance-driven environments, such as FedRAMP, NIST-based environments, or similar regulated frameworks.

·       Experience with source control and DevOps toolchains such as Git, Jenkins, GitLab CI, GitHub Actions, or similar platforms.

·       Knowledge of containerization and orchestration technologies such as Docker and Kubernetes.

·       Strong troubleshooting, problem-solving, and root cause analysis skills.

·       Excellent verbal and written communication skills.

·       Ability to work independently and deliver technical work items with minimal oversight.

Preferred Qualifications

·       Experience with Terraform, CloudFormation, or other Infrastructure as Code tools.

·       Experience supporting AI/ML infrastructure and operational environments in cloud platforms.

·       Experience supporting multi-cloud environments.

·       Familiarity with cloud networking, IAM, secrets management, logging, and observability tools.

·       Experience with security scanning, policy enforcement, and DevSecOps practices.

·       Experience supporting cloud-native AI services, MLOps-enabling infrastructure, GPU-based workloads, or model hosting environments.

·       Familiarity with services such as Amazon SageMaker, Vertex AI, container-based AI platforms, or similar technologies.

·       Experience in government, healthcare, or other highly regulated environments.

·       Relevant AWS and/or Google Cloud certifications are preferred.

Technical Skills

·       Cloud Platforms: AWS, Google Cloud Platform

·       Automation/Scripting: Ansible, Python, Bash

·       CI/CD Tools: Jenkins, GitLab CI, GitHub Actions, or similar

·       Source Control: Git

·       Infrastructure as Code: Terraform, CloudFormation, CDK, Google Cloud Platform Deployment Manager or similar

·       Containers/Orchestration: Docker, Kubernetes

·       Compliance/Security: FedRAMP, NIST, security hardening, audit support

·       Monitoring/Logging: Cloud-native and third-party monitoring and observability tools

Desired Characteristics

·       Self-starter with a strong ownership mindset.

·       Able to independently plan and execute technical tasks.

·       Detail-oriented with strong documentation discipline.

·       Comfortable working in fast-paced, evolving cloud environments.

·       Strong collaboration skills across engineering, security, and operations teams.

Closing Statement: This is an excellent opportunity for a senior engineer who enjoys building secure, automated, scalable, and compliant cloud platforms while helping expand multi-cloud and AI platform operations across AWS and Google Cloud Platform.