Staff Cloud Platform Engineer

🔥 17 hours ago

🌐 United Kingdom, United States – Remote

🇬🇧 United Kingdom – Remote 🇺🇸 United States – Remote

⏰ Full Time

🔴 Lead

☁️ Cloud Engineer

👻 Ghost score 12%

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Amperon

WebsiteLinkedInAll Job Openings

51 - 200 employees

⚡ Energy

🤖 Artificial Intelligence

☁️ SaaS

💰 $7M Series A on 2022-05

Energy • Artificial Intelligence • SaaS

Amperon is a company that specializes in AI-powered forecasting solutions for tracking, planning, and optimizing energy needs in the evolving power markets. It provides precise electricity forecasting and analytics to enhance grid reliability, manage financial risk, optimize renewable energy use, and accelerate decarbonization efforts. Through its products, such as demand forecasts, renewable generation forecasts, and price forecasts, Amperon assists energy market stakeholders with advanced accuracy and scenario modeling. The company's technology involves data infrastructure, model optimization, and continuous learning AI algorithms, offering industry-leading forecast accuracy. Amperon is known for its seamless integration capabilities, adhering to security standards, and supporting digital transformation initiatives in the energy sector.

📋 Description

• Own major parts of the Azure and Kubernetes platform running Amperon's product, data pipelines and AI agents • Set technical direction for platform areas and lead multi-month programs from design through cutover • Run and evolve AKS clusters for production, workflow and AI/agent workloads using Karpenter, Cilium network policy, workload identity, External Secrets, Helm and ArgoCD • Drive Terraform infrastructure-as-code through Atlantis, including provider upgrades, drift reconciliation, module design, guardrails, GitHub Actions runners and build pipelines • Operate MySQL Flexible Server and self-managed ClickHouse with replication, failover, backup and restore, capacity planning and safe upgrades • Design isolated, auditable environments for agentic workloads and MCP services, including egress controls, identity, observability and self-service deployment paths • Evolve observability using OpenTelemetry, Prometheus, Grafana and Tempo, with alert rules managed as code • Identify and implement Azure cloud-cost savings • Participate in on-call rotation, lead incident response and blameless postmortems, and support data engineering, data science and product teams • Write design documents, review code, mentor engineers and document systems

🎯 Requirements

• 8+ years in infrastructure, platform or site reliability engineering, including several years at a senior level owning production systems • Track record of leading multi-month infrastructure programs end to end: design doc, stakeholder alignment, phased rollout, cutover and cleanup • Deep, hands-on Kubernetes experience in production, ideally on a managed offering such as AKS, EKS or GKE, including networking and network policy • Strong Terraform skills on a large codebase, with GitOps-style workflows such as Atlantis or ArgoCD • Production experience with at least one major cloud; Azure strongly preferred, with deep AWS or GCP experience also acceptable alongside willingness to learn Azure • Experience operating relational or analytical databases in production, including replication, upgrades and recovery • Security-focused practices including least privilege, identity-based access, secrets management and network isolation • Solid observability practice covering metrics, logs, traces, alerting and SLO thinking • Comfortable writing Python and shell for automation and tooling • Clear written communication across design docs, PRs and asynchronous threads • Candidates must be based in UK, EU or US time zones and provide at least 3 hours of daily overlap with US Central Time • Participation in an on-call rotation

🏖️ Benefits

• Competitive salary plus stock option package, based on geographical location • Medical, dental and vision insurance • Annual company retreat • Flexible PTO policy • Flexible working • All-company event at least once a year

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