Note: The job is a remote job and is open to candidates in USA. Phaidra is building AI-powered control systems for industrial automation that enable facilities to learn and improve over time. The Senior Platform Engineer will lead the design and implementation of Azure platform foundations, deployment workflows, Kubernetes capabilities, observability, security defaults, and reusable developer tooling while supporting reliability and multi-team platform initiatives.
Responsibilities
- Design and operate production Azure environments, including subscriptions and management groups, networking, private connectivity, identity, policy, DNS, storage, and managed Kubernetes
- Build reusable platform components for AKS and supporting Azure services
- Establish secure, observable, cost-aware defaults that product teams can consume without cloud-specific expertise
- Extend golden paths, service templates, and self-service workflows to Azure
- Extend Phaidra’s existing Terraform, Kapitan, GitLab CI, ArgoCD, and Crossplane workflows to provision and deploy services on Azure
- Build libraries, CLIs, APIs, controllers, and automation that remove manual work from environment provisioning and service operations
- Define SLIs, SLOs, dashboards, alerts, backup, recovery, and capacity practices for Azure-hosted services
- Participate in on-call, lead incident follow-up, and turn recurring operational work into platform improvements
- Design for failure across availability zones and, where required, regions
- Partner with security on identity, secrets, policy, network isolation, supply-chain controls, and compliance evidence
- Encode governance in platform modules and pipelines rather than depending on review-time memory
- Lead the design and implementation of multi-team initiatives that advance Phaidra’s broader platform strategy
- Make sound technical decisions, surface cross-platform tradeoffs early, document interfaces, and mentor engineers
- Learn Phaidra’s products, Platform strategy, current GCP architecture, delivery model, and the requirements driving Azure adoption
- Meet engineers across Platform, Productivity, product engineering, AI, and security to understand how they use and depend on the platform
- Set up the development environment and complete the team’s platform onboarding exercise
- Trace a representative service from source code through CI, GitOps deployment, Kubernetes operation, and observability
- Review the existing Azure designs, implementation state, and major architectural decisions that remain open
- Ship a scoped improvement to an Azure foundation, platform component, or its automation
- Shadow the Platform on-call rotation and review recent incidents and operational follow-up
- Develop a detailed understanding of how Phaidra’s platform abstractions map to Azure and where provider-specific behavior must remain explicit
- Own a defined Azure platform area and document its supported interface, reliability model, security assumptions, and operational runbooks
- Deliver a reusable Azure capability through the standard GitOps and infrastructure-as-code path
- Support a product or AI engineering team adopting that capability and incorporate feedback into the platform design
- Participate in on-call with support from the team and complete follow-up that reduces repeat operational work
- Lead the design and implementation of an Azure platform initiative through production use by a product or AI workload
- Establish measurable reliability, security, developer-experience, and cost outcomes for the area you lead
- Document architectural decisions and the interfaces that keep Azure consistent with Phaidra’s broader platform while preserving useful provider-native capabilities
- Mentor engineers working in adjacent platform areas and contribute to the next phase of the Azure platform roadmap
- Operate comfortably in the Platform on-call rotation and turn what you learn into systemic improvements
Skills
- You are a senior platform engineer who can turn cloud primitives into reliable, supported building blocks for other engineers
- You have operated production systems in Azure, write software rather than relying on manual operations, and make deliberate choices about where Phaidra should use a common abstraction versus a provider-native service
- You are pragmatic, product-minded, and comfortable owning ambiguous work across software, infrastructure, reliability, and security boundaries in a remote company
- 5+ years of professional experience in platform engineering, infrastructure engineering, SRE, or software engineering with an infrastructure focus
- Strong production experience with Azure, including AKS, Entra ID, Azure networking and private endpoints, Azure Policy, Key Vault, managed identities, and Azure Monitor or equivalent observability integrations
- Production Kubernetes experience, including workload identity, networking, storage, autoscaling, upgrades, and incident debugging
- Infrastructure-as-code experience with Terraform and a configuration or packaging system such as Kapitan, Helm, or Kustomize
- Experience building or operating internal platform capabilities such as golden paths, service templates, self-service environments, platform APIs, or developer tooling
- Strong software engineering skills in Python, Go, or another high-level language; comfortable building maintainable libraries, services, CLIs, or controllers
- Experience with GitOps and CI/CD in production
- Demonstrated ownership of ambiguous technical initiatives spanning multiple teams
- Kubernetes operator development or deployment
- Experience with private customer deployments or restricted network environments
- Familiarity with software supply-chain controls and compliance evidence automation
- Phaidra only hires individuals who are legally authorized to work in the specified location(s) above
- Candidates requiring visa sponsorship, either now or in the future, are not eligible for hire
- Production experience across Azure and at least one other major cloud, with evidence of designing useful multi-cloud interfaces rather than forcing lowest-common-denominator abstractions
- Experience migrating or extending a Kubernetes platform from GCP or AWS into Azure
- Crossplane, Azure Service Operator, or Kubernetes operator development
- AI/ML infrastructure, GPU scheduling, model serving, vector systems, or distributed data processing
- FinOps practices and Azure cost optimization
Benefits
- We are a 100% remote company.
- Competitive compensation & meaningful equity.
- Outsized responsibilities & professional development.
- Training is foundational; functional, customer immersion, and development training.
- Medical, dental, and vision insurance (exact benefits vary by region).
- Unlimited paid time off, with a required minimum of 20 days per year.
- Paid parental leave (exact benefits vary by region).
- Flexible stipends to support your workspace, well-being, and continued professional development.
- Company MacBook.
Company Overview