Platform Engineer

Pano

$120K — $160K *
Enterprise Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • 5+ years in a fast-paced SaaS or similar environment
  • 3+ years as a Platform Engineer, SRE, or DevOps Engineer
  • 3+ years with cloud services (GCP, AWS, Azure)
  • Experience with containerization tools (Docker, Kubernetes)
  • Proficient in IaC tools (Terraform, Pulumi)
  • Strong problem-solving skills with distributed systems
  • Effective communicator across teams

Responsibilities

  • Collaborate with teams to design and maintain scalable infrastructure
  • Support and optimize production systems
  • Automate provisioning and deployment processes using IaC
  • Enhance software delivery through CI/CD pipelines
  • Troubleshoot complex technical issues in infrastructure
  • Contribute to coding standards and practices
  • Create run-books and metrics for operational efficiency

Benefits

  • Health coverage
  • Retirement or pension contributions
  • Paid time off
  • Equity opportunities
  • Flexible work hours in Pacific/Mountain time zones
Full Job Description
Help us tackle the growing wildfire crisis with the latest advancements in AI and IoT

The Role

For the Platform Engineer role, we're looking for somebody who will drive major projects in how we scale, secure, and monitor our systems and services throughout the entire organization. At Pano, we strongly believe in allowing team members to take ownership of what they do, and our approach to problem-solving relies heavily upon creativity, communication, and collaboration.

We're running large systems at scale and have a growing infrastructure footprint, so we are looking for an experienced engineer to run, develop, and enhance our platform. Someone with the wisdom and experience to build mature operational processes for the future but also comfortable with rolling up their sleeves, writing code, and building systems in a startup environment. Someone passionate about improving the development experience for engineers and providing guidance on what kinds of tools and workflows will remove barriers to get things done.

What you'll do
  • 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


What you'll bring
  • 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
  • Preferred skills:
    • 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

Final compensation for regular full-time employees is determined by a variety of factors, including job-related qualifications, education, experience, skills, knowledge, and geographic location. In addition to base salary, regular full-time roles are eligible for equity. Benefits are tailored to local market standards and statutory requirements in the employee's country of employment, and may include health coverage, retirement or pension contributions, and paid time off. Specific benefit details will be shared during the interview process.

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