• Design, build, and operate reliable infrastructure across cloud and distributed edge environments.
• Develop and maintain standardized, reusable CI/CD pipelines for application and infrastructure delivery.
• Provision and manage infrastructure using Infrastructure as Code and configuration-management practices.
• Automate provisioning, deployment, configuration, validation, maintenance, and operational workflows.
• Manage containerized and virtualized workloads across centralized and remote environments.
• Improve deployment reliability, platform availability, recoverability, performance, and operational efficiency.
• Implement secure infrastructure, identity, networking, secrets, and machine-to-machine communication patterns.
• Build and maintain monitoring, logging, alerting, and observability capabilities.
• Support production and field incidents, troubleshooting, root-cause analysis, and corrective actions.
• Partner with software engineering teams to improve developer productivity and establish consistent deployment and operational standards.
• Reduce manual operational work through automation and self-service capabilities.
• Provide technical guidance, mentoring, and contribute to platform and DevOps engineering standards.

The ideal candidate is a hands-on engineer with strong experience in cloud infrastructure, Infrastructure as Code, CI/CD, Linux, containers, automation, networking, observability, and production operations., * 5+ years of experience in DevOps, Platform Engineering, Cloud Engineering, SRE, Infrastructure Engineering, or a related discipline.

• Strong hands-on experience operating production infrastructure in GCP.
• Strong experience with Infrastructure as Code, preferably Terraform or equivalent technologies.
• Strong experience designing and operating CI/CD pipelines and deployment automation, preferably GitHub Actions and/or Azure DevOps and/or ArgoCD or equivalent.
• Strong Linux and Windows administration and troubleshooting skills.
• Experience with containers and container orchestration platforms, preferably GKE and KubeEdge
• Experience supporting infrastructure in remote, on-premises, hybrid, or edge environments.
• Experience with virtualization, preferrable Promox; and infrastructure lifecycle management.
• Proficiency in a scripting or programming language such as Python, Bash, Typescript and/or Go.
• Strong understanding of networking, including private connectivity, routing, DNS, firewalls, and VPNs.
• Experience implementing secure identity, access, secrets, and workload authentication practices.
• Experience with monitoring, logging, alerting, and observability.
• Experience supporting production systems, incident response, and root-cause analysis.
• Strong troubleshooting and systems-thinking skills.
• Ability to work independently and collaborate effectively across engineering, security, product, and operations teams.
• Experience mentoring engineers or acting as a technical lead.
• Strong communication and collaboration skills across technical and business teams., * Advanced experience with Google Cloud Platform or another major public cloud platform.
• Experience managing hybrid cloud and distributed edge infrastructure.
• Experience with configuration-management and infrastructure automation tools such as Terraform and Ansible
• Experience building reusable CI/CD frameworks and deployment standards.
• Experience with cloud security, software supply-chain security, and compliance practices.
• Experience with cost optimization and infrastructure efficiency.
• Experience with industrial, field, IoT, or operational technology environments.
• Oil and Gas industry experience.

Key Success Characteristics

Successful candidates will demonstrate:

• Strong technical ownership.
• A preference for automation over manual operations.
• Ability to work across cloud, edge, infrastructure, networking, and application delivery domains.
• Ability to design scalable, repeatable, and remotely manageable systems.
• Strong troubleshooting and problem-solving skills.
• Focus on reliability, security, standardization, and operational simplicity.
• Ability to operate independently while collaborating effectively across teams.
• Proactive mindset focused on automation, standardization, and continuous improvement.

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