Platform Engineer

Pano AI

11d•$146,000 - $220,000•Hybrid

About The Position

The Platform Engineer role is crucial for driving major projects related to scaling, securing, and monitoring the organization's systems and services. Pano AI emphasizes team member ownership, creativity, communication, and collaboration. The company operates large systems at scale with a growing infrastructure footprint, requiring an experienced engineer to run, develop, and enhance the platform. This role involves building mature operational processes while also being hands-on with coding and system building in a startup environment. A key aspect of the role is improving the development experience for engineers by providing guidance on tools and workflows that remove barriers to productivity.

Requirements

5+ years of professional experience in a fast-paced SaaS or a similar business environment
3+ years of hands-on experience supporting production systems as a Platform Engineer, Site Reliability Engineer (SRE) or a DevOps Engineer
3+ years of hands-on experience with cloud services and technologies (GCP, AWS, Azure, etc.)
Experience with containerization and orchestration tools (e.g., Docker, Kubernetes)
Proficient in Infrastructure as Code (IaC) tools and methodologies (e.g. Terraform, Pulumi, Puppet, etc.)
Proven ability to manage, troubleshoot and resolve complex technical issues in distributed systems
Ability to communicate effectively within the team and across the organization while sharing insights and updates and collaborating to achieve project goals

Nice To Haves

Advanced working knowledge of GCP Services like GKE, GCS, IAM, etc.
Professional experience supporting AI and ML infrastructure and familiarity with the ML development lifecycle
Experience with MLOps tools for model serving/inference and observability
Strong software development, particularly with scripting languages (e.g., Python, Bash, etc.)
Experience with system administration in general and Linux in particular
Familiarity with SOC2 / ISO 27001 security frameworks
Preference for someone in the Pacific / Mountain time zone

Responsibilities

Collaborate with cross-functional teams to design, implement, and maintain scalable and reliable infrastructure
Supporting and optimizing production systems as a Platform Engineer and development workflows as a DevOps Engineer
Utilize Infrastructure as Code (IaC) principles to automate provisioning, configuration, and deployment processes
Improve the release process through robust CI/CD pipelines to enhance software delivery efficiency
Provide expertise in Cloud services and infrastructure, particularly in Google Cloud Platform (GCP)
Troubleshoot and resolve complex technical issues related to infrastructure and deployment
Actively contribute to evolving coding standards and best practices within the development team.
Create run-books, metrics, and dashboards
Participate in on-call rotation to respond to and triage production issues