Senior Platform Engineer

Team: IT

Location: US

Commitment: Full-time

Workplace Type: remote

Accountabilities:

• Architect, deploy, and maintain scalable and reliable systems and enterprise applications on Google Cloud Platform.
• Establish and maintain infrastructure-as-code standards using Terraform, while leveraging automation tools such as Ansible and SaltStack.
• Design and implement end-to-end CI/CD pipelines that accelerate software delivery and reduce manual processes.
• Manage critical enterprise applications and develop automated deployment, upgrade, and operational workflows.
• Lead incident management activities, perform root cause analyses, and participate in on-call rotations to maintain high service availability.
• Collaborate with engineering teams to optimize system performance, resource utilization, and cloud infrastructure costs through rightsizing.
• Build and maintain internal developer platforms, tools, and automation that improve engineering productivity.
• Strengthen Linux, container, and cloud environments through security guardrails, monitoring, logging, and reliable operational practices.

Requirements:

• Bachelor’s degree in Computer Science, a related technical discipline, or equivalent practical experience.
• 5+ years of direct experience working with public cloud environments, including Kubernetes, VPC, Cloud Run, and enterprise infrastructure management.
• Strong hands-on expertise with GCP and infrastructure automation using Terraform, Ansible, and SaltStack.
• 5+ years of experience leading software development lifecycle initiatives, implementing CI/CD pipelines, and supporting enterprise applications.
• 5+ years of experience with Linux system internals, containerization, autonomous task workflows, and establishing security guardrails.
• At least 2 years of programming experience with languages such as Python or Java.
• Experience with monitoring and logging ecosystems such as GCP Monitoring, Prometheus, Datadog, Dynatrace, or ELK.
• Strong troubleshooting and analytical skills, with the ability to diagnose complex system-level and distributed application issues.
• Excellent communication and cross-functional collaboration skills.
• Experience architecting and deploying AI/LLM solutions using technologies such as Gemini, Vertex AI, or ADK is preferred.
• Experience managing multi-cloud environments and optimizing application performance across standalone and distributed systems is also preferred.

Benefits:

• US base salary range of $140,000–$200,800 for the full-time position.
• Additional bonus opportunities and comprehensive benefits.
• Location-based compensation, with the specific salary range for the targeted location shared during the hiring process.
• Equal opportunity employment and commitment to an accessible, inclusive workplace.
• Reasonable accommodation support available for candidates who require assistance during the application or hiring process.
• This role is not eligible for immigration sponsorship.
• Application window open until at least September 24, 2026, with the posting potentially remaining available based on business needs.