Google Cloud Platform DevOps Engineer

Design, implement, and maintain scalable, reliable, and secure cloud infrastructure using Google Cloud Platform services. Automate cloud infrastructure provisioning, scaling, and monitoring using Infrastructure as Code (IaC) tools such as Terraform or Google Cloud Deployment Manager. Manage and optimize Google Cloud Platform resources such as Compute Engine, Kubernetes Engine, Cloud Functions, and BigQuery to support development teams. Build, maintain, and enhance continuous integration and continuous deployment (CI/CD) pipelines to ensure seamless and automated code deployment to Google Cloud Platform environments. Integrate CI/CD pipelines with Google Cloud Platform services like Cloud Build, Cloud Source Repositories, or third‑party tools like Jenkins. Ensure pipelines are optimized for faster build, test, and deployment cycles. Implement and manage cloud monitoring and logging solutions using Dynatrace and Google Cloud Platform‑native tools like Stackdriver (Monitoring, Logging, and Trace). Monitor cloud infrastructure health and resolve performance issues, ensuring minimal downtime and maximum uptime. Set up incident management workflows, implement alerting mechanisms, and create runbooks for rapid issue resolution. Security & Compliance: Implement security best practices for cloud infrastructure, including identity and access management (IAM), encryption, and network security. Ensure Google Cloud Platform environments comply with organizational security policies and industry standards such as GDPR/CCPA, or PCI‑DSS. Conduct vulnerability assessments and perform regular patching and system updates to mitigate security risks. Collaborate with development teams to design cloud‑native applications that are optimized for performance, security, and scalability on Google Cloud Platform. Work closely with cloud architects to provide input on cloud design and best practices for continuous integration, testing, and deployment. Provide day‑to‑day support for development, QA, and production environments, ensuring availability and stability. Cost Optimization: Monitor and optimize cloud costs by analyzing resource utilization and recommending cost‑saving measures such as right‑sizing instances, using preemptible VMs, or implementing auto‑scaling. Tooling & Scripting: Develop and maintain scripts (using languages like Python, Bash, or PowerShell) to automate routine tasks and system operations. Use configuration management tools like Ansible, Chef, or Puppet to manage cloud resources and maintain system configurations. Required Qualifications & Skills: Experience 3+ years of experience as a DevOps Engineer or Cloud Engineer, with hands‑on experience in managing cloud infrastructure. Proven experience working with Google Cloud Platform (Google Cloud Platform) services such as Compute Engine, Cloud Storage, Kubernetes Engine, Pub/Sub, Cloud SQL, and others. Experience in automating cloud infrastructure with Infrastructure as Code (IaC) tools like Terraform, Cloud Deployment Manager, or Ansible. Technical Skills Strong knowledge of CI/CD tools and processes (e.g., Jenkins, GitLab CI, CircleCI, or Google Cloud Platform Cloud Build). Proficiency in scripting and automation using Python, Bash, or similar languages. Strong understanding of containerization technologies (Docker) and container orchestration tools like Kubernetes. Familiarity with Google Cloud Platform networking, security (IAM, VPC, Firewall rules), and monitoring tools (Stackdriver). Experience with Git for version control and collaboration. Familiarity with Google Cloud Platform‑native DevOps tools like Cloud Build, Cloud Source Repositories, Artifact Registry, and Binary Authorization. Understanding of DevOps practices and principles, including Continuous Integration, Continuous Delivery, Infrastructure as Code, and Monitoring/Alerting. Security & Compliance: Knowledge of security best practices for cloud environments, including IAM, network security, and data encryption. Understanding of compliance and regulatory requirements related to cloud computing (e.g., GDPR/CCPA, HIPAA, or PCI). ROBOTIC PROCESS AUTOMATION LLC is an equal opportunity employer inclusive of female, minority, disability and veterans, (M/F/D/V). Hiring, promotion, transfer, compensation, benefits, discipline, termination and all other employment decisions are made without regard to race, color, religion, sex, sexual orientation, gender identity, age, disability, national origin, citizenship/immigration status, veteran status or any other protected status. ROBOTIC PROCESS AUTOMATION LLC will not make any posting or employment decision that does not comply with applicable laws relating to labor and employment, equal opportunity, employment eligibility requirements or related matters. Nor will ROBOTIC PROCESS AUTOMATION LLC require in a posting or otherwise U.S. citizenship or lawful permanent residency in the U.S. as a condition of employment except as necessary to comply with law, regulation, executive order, or federal, state, or local government contract. #J-18808-Ljbffr Robotics Prcocess Automation, LLC