Senior Platform Engineer
Phaidra
Posted
May 16, 2026
Location
Remote (US)
Type
Full-time
Compensation
$127160 - $205700
Mission
What you will drive
- Own and deliver developer platform capabilities end-to-end, including golden paths, service templates, and scaffolding.
- Drive improvements to GitOps workflows (ArgoCD, Atlantis) and CI/CD pipelines (GitLab CI) with progressive delivery patterns.
- Contribute to reliability and operational excellence via SLI/SLO frameworks, observability (Prometheus, Grafana, Loki, Tempo), and incident response.
- Embed secure-by-default patterns into platform templates and partner with security on compliance (SOC 2, ISO 27001).
Impact
The difference you'll make
Phaidra's AI-powered control systems reduce energy consumption and improve efficiency in industrial facilities, directly contributing to climate change mitigation by optimizing resource use and lowering carbon emissions.
Profile
What makes you a great fit
- 5+ years of professional experience in platform engineering, infrastructure engineering, or SRE.
- Production experience with at least one major cloud (GCP, AWS, or Azure).
- GitOps fluency with production experience (ArgoCD, Flux, or equivalent).
- Experience building or operating key components of an internal developer platform (self-service workflows, golden paths, developer portals, etc.).
- Infrastructure-as-code experience: Terraform plus a configuration system (Kapitan, Helm, Kustomize, or similar).
- Software engineering experience in a major high-level language (Python, Go, etc.).
Benefits
What's in it for you
- Competitive base salary (US: $127,160 - $205,700; Canada: CAD 112,680 - CAD 211,280) plus meaningful equity.
- 100% remote company with flexible work environment.
- Unlimited paid time off with a required minimum of 20 days per year.
- Medical, dental, and vision insurance; paid parental leave; flexible stipends for workspace, well-being, and professional development.
- Company MacBook and fast-paced, team-oriented culture.
About
Inside Phaidra
Phaidra builds AI-powered control systems for the industrial sector, using reinforcement learning to automatically optimize the performance of factories, power plants, and buildings, reducing energy use and improving efficiency.