Senior Platform Engineer

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Platform Engineer based in United States. This role offers the opportunity to shape and operate the cloud platform supporting critical enterprise applications at scale. You will architect reliable infrastructure on Google Cloud while establishing strong Infrastructure-as-Code and automation practices. The position combines platform engineering, cloud architecture, CI/CD, application reliability, and developer enablement. You will partner with engineering teams to simplify deployments, improve system performance, and strengthen operational resilience. Your work will directly contribute to scalable platforms, faster software delivery, and more dependable services. The environment values technical ownership, collaboration, continuous improvement, and practical automation. This is an impactful opportunity for an experienced engineer who enjoys solving complex infrastructure challenges and building platforms that enable others to succeed. Architect, build, and maintain scalable and reliable systems and enterprise applications on Google Cloud Platform (GCP), while establishing and maintaining Infrastructure-as-Code standards through Terraform. Act as a cloud architecture partner for cross-functional engineering teams supporting critical enterprise applications and services. Design, implement, and continuously improve end-to-end CI/CD pipelines that accelerate software delivery, deployment automation, and operational consistency. Develop automated deployment processes, upgrade scripts, internal tooling, and developer platforms that improve engineering productivity and reduce manual effort. Lead incident management activities, conduct root cause analyses, and participate in on-call rotations to maintain high availability and service reliability. Collaborate with engineering teams to optimize application and infrastructure performance, including resource rightsizing and capacity management. Strengthen cloud infrastructure through automation, security guardrails, monitoring, logging, and reliable operational practices. Diagnose complex system-level issues across cloud, containerized, and distributed environments and develop sustainable technical solutions. Promote consistent infrastructure, deployment, and platform engineering standards across teams while identifying opportunities for continuous improvement. Explore and implement emerging technologies, including AI and LLM capabilities, where they can enhance platform engineering, automation, and operational efficiency. Requirements Bachelor's degree in Computer Science, a related technical discipline, or equivalent practical experience. At least 5 years of hands-on experience working with public cloud environments, including Kubernetes, VPC, Cloud Run, and enterprise infrastructure management. At least 5 years of experience with Infrastructure-as-Code and automation technologies such as Terraform, Ansible, and SaltStack. At least 5 years of experience leading software development lifecycle practices, implementing CI/CD pipelines, and supporting enterprise applications. Strong Linux system administration and internals knowledge, with experience in containerization, autonomous task workflows, and security controls. At least 2 years of programming experience with languages such as Python or Java. Experience with cloud monitoring and logging ecosystems such as GCP Monitoring, Prometheus, Datadog, Dynatrace, or ELK. Strong troubleshooting and analytical abilities, with experience diagnosing complex infrastructure, application, and system-level problems. Preferred experience architecting and deploying AI/LLM solutions using technologies such as Gemini, Vertex AI, or ADK. Preferred experience with GCP and multi-cloud environments, as well as application performance optimization across standalone and distributed systems. Strong communication, collaboration, a