Hybrid Edge Compute Engineer

Posted last month

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About the role

  • Build, deploy, and operate critical compute software supporting end-to-end imaging operations within customer environments
  • Design and implement robust, reproducible deployment systems across varied operating environments
  • Build and deploy software in customer environments for a next-generation imagery processing system
  • Own deployments, service orchestration, and documentation for cross-platform stakeholders
  • Scale architecture while ensuring availability and performance of services
  • Improve reliability and scalability by resolving edge cases, studying failure modes, and writing tests
  • Participate in on-call rotations to ensure operational excellence
  • Collaborate cross-functionally with Product, Engineering Management, and engineering teams on system design and roadmapping for scalable and robust solutions

Requirements

  • Bachelor’s degree in Computer Science or similar
  • 6+ years of experience building services that leverage cloud-native infrastructure and tooling
  • Experience deploying and maintaining bare-metal K8s through tools such as K3s, RKE2, TalOS
  • Proficient with Terraform, Ansible, Helm, Kustomize, and/or similar IaC / GitOps tooling
  • Experience successfully building, releasing, and supporting highly available, consistently performant services
  • Knowledge of hardware-level implications of on-prem compute
  • Experience with platform optimization, resource optimization, management, and cluster tuning in constrained environments
  • Ability to observe and troubleshoot distributed systems with tools such as Alloy, Prometheus, Grafana, and OpenTelemetry
  • Advanced in Python, Bash, and other tooling as appropriate to build services and meet product goals
  • Excellent communication skills and ability to collaborate cross-functionally with engineering teams
  • Experience working with Jira for task management and progress tracking
  • EAR/ITAR export-control access requirement (employment contingent on ability to access export-controlled information without additional licensing)
  • Passion for programming, photography, remote sensing, earth sciences and geography; willingness to learn about geospatial data and concepts
  • Experience working with geospatial data and concepts
  • Exposure to geospatial raster data processing with tools such as GDAL and NumPy
  • Experience with CUDA-based GPU programs
  • Security expertise in sensitive environments, including implementing zero-trust architectures, hardening Kubernetes clusters, conducting security audits, and deploying workloads in air-gapped environments

Benefits

  • Comprehensive Medical, Dental, and Vision plans
  • Health Savings Account (HSA) with a company contribution
  • Generous Paid Time Off in addition to holidays and company-wide days off
  • 16 Weeks of Paid Parental Leave
  • Wellness Program and Employee Assistance Program (EAP)
  • Home Office Reimbursement
  • Monthly Phone and Internet Reimbursement
  • Tuition Reimbursement and access to LinkedIn Learning
  • Equity
  • Commuter Benefits (if local to an office)
  • Volunteering Paid Time Off
  • May be eligible for discretionary short-term and long-term incentives (bonus and equity)

Job title

Edge Compute Engineer

Job type

Experience level

Mid levelSenior

Salary

$142,800 - $178,500 per year

Degree requirement

Bachelor's Degree

Location requirements

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