Phaidra

DevOps Engineer

• Utilize existing data ingestion and delivery platforms to "teach" models to understand the physical world, filling a critical expertise gap in the data center industry.
• Use telemetry tools to analyze sensor data across mechanical (chillers, pumps) and electrical (UPS, switchgear, power feeds) systems to identify "failure signatures" for LLM-driven monitoring tool.
• Act as a primary user of platforms, identifying gaps in current mechanisms and collaborating with Engineering to influence future features and data quality.
• Translate raw telemetry into "SME-level" logic and directions used by the LLM tool to guide data center operators in real-time.
• Cultivate deep domain expertise in all facets of data center infrastructure.
• Move from shadowing peers to directly supporting customers, using the platform to provide clear, data-backed direction on complex problems.
• Oversee pilot projects to test how AI-driven SME tool interprets real-world stressors, ensuring the output is operationally realistic, accurate, and actionable.
• Remain agile and proactive in a fast-moving team environment.

Data Center Reliability Engineer

Platform Engineer

• Own the delivery of a scoped set of developer platform capabilities end-to-end (design, implementation, rollout, iteration).
• Build and evolve paved roads (golden paths, service templates, scaffolding) that make it easy to deploy, operate, and scale services.
• Run tight feedback loops with engineers across product and ML teams; measure adoption and eliminate common friction points.
• Drive improvements to GitOps workflows via ArgoCD and Terraform automation via Atlantis.
• Harden CI/CD on GitLab CI, including pipeline performance, safety, and developer ergonomics.
• Design progressive delivery patterns (canary, blue/green) as reusable platform primitives.
• Contribute to SLI/SLO frameworks and shared observability primitives (Prometheus, Grafana, Loki, Tempo, OpenTelemetry).
• Participate in the platform team's on-call rotation; reduce toil through automation and better system design.
• Improve incident response and postmortem practice so learnings translate into systemic fixes.
• Embed secure-by-default patterns into platform templates (secrets, IAM, RBAC, NetworkPolicies).
• Partner with security on compliance posture (SOC 2, ISO 27001) without slowing delivery.
• Partner with infrastructure/SRE owners on Kubernetes and core cloud foundations (networking, storage, cluster/platform primitives) where it directly improves developer workflows.
• Evolve cloud-native abstractions so the platform remains portable and resilient as our footprint grows (GCP today, with future optionality across providers).

Senior Platform Engineer

Solutions Engineer

• You will work closely with the Technical Program Managers (TPMs) and Data Scientists (DSs), as the technical experts for Phaidra's customers. Your role is to use Phaidra's platform and tools to put AI into production.
• As the subject matter expert, (SME), you will use Phaidra’s products and your knowledge of the customers' needs to create a model of the facility for ingestion by our product lineup. This will require working closely with our Data Science team. You’ll create a representation of the facility in Mort system builder, map tag data, review our Insights logic for facility specific requirements, and assist in analyzing and triaging these systems in the support phase.
• You will work with the product team to identify and define product requirements based upon each customer’s specification and needs. You will work closely with other AI Controls Solutions Engineers and the Product team to ensure our automated tools enable Phaidra to scale across thousands of customers.
• This role can include 25% travel.

Senior AI Controls Solutions Engineer – Electrical Systems

Data Scientist

• Utilize our existing data ingestion and delivery platforms to "teach" our models to understand the physical world, filling a critical expertise gap in the data center industry.
• Multidisciplinary Diagnostic Analysis: Use telemetry tools to analyze sensor data across mechanical (chillers, pumps) and electrical (UPS, switchgear, power feeds) systems to identify "failure signatures" for our LLM-driven monitoring tool.
• Refining the Logic Engine: Act as a primary user of our platforms, identifying gaps in our current mechanisms and collaborating with Engineering to influence future features and data quality.
• Operational Insight Generation: Translate raw telemetry into the "SME-level" logic and directions used by our LLM tool to guide data center operators in real-time.
• SME Development: Cultivate deep domain expertise in all facets of data center infrastructure. You will be expected to master the nuances of both mechanical and electrical dependencies to ensure our product reflects operational reality.
• Customer Guidance: Move from shadowing peers to directly supporting customers, using our platform to provide clear, data-backed direction on complex problems.
• Model Validation: Oversee pilot projects to test how our AI-driven SME tool interprets real-world stressors, ensuring the output is operationally realistic, accurate, and actionable.
• Adaptability: Remain agile and proactive. As a member of a fast-moving team, you will encounter challenges and scopes not explicitly defined here; we expect you to lean in and solve them.

Data Center Reliability Engineer

Senior Platform Engineer

Senior Platform Engineer

Senior AI Controls Solutions Engineer – Electrical Systems

Data Scientist – Infrastructure Diagnostics