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[Remote] Staff Network Reliability Engineer, Cloud Operations

Remote · Egypt Full-time

Note: The job is a remote job and is open to candidates in USA. Skylo is a global Non-Terrestrial Network service provider that connects smartphones and IoT devices directly to satellites. As a Staff Network Reliability Engineer in Cloud Operations, you will oversee the health of Skylo's cloud infrastructure, ensuring operational excellence and reliability across both public and private cloud environments.

Responsibilities

  • Own 24x7 cloud infrastructure health across Skylo's hybrid production environment: GKE cluster node status, namespace and pod health, Persistent Volume Claim availability, network policies, and multi-cluster federation across Skylo's GCP footprint
  • Own on-premise Kubernetes cluster health: bare-metal node availability, container runtime stability, CNI networking, persistent storage arrays (Ceph/Rook or equivalent), and hyperconverged compute platform operations (Harvester, KubeVirt, or KVM)
  • Monitor and triage infrastructure alarms using OSS dashboards, Grafana/VictoriaMetrics telemetry, GCP Cloud Monitoring, and Loki log correlation — distinguish transient platform events from systemic infrastructure degradation
  • Execute and own Cloud Infra runbooks for P2–P4 fault categories: GKE node recovery, pod eviction and rescheduling, PVC repair, database failover execution, Prometheus WAL corruption recovery, ArgoCD drift remediation, and certificate rotation — without requiring engineering involvement for covered fault classes
  • Own BSS-IIS GKE cluster monitoring and infrastructure health; maintain runbooks that reflect current cluster topology after every infrastructure change
  • Own the observability pipeline end-to-end: Prometheus scrape target integrity, VictoriaMetrics retention and query performance, Grafana dashboard coverage and accuracy, OpenTelemetry collector health, and alert routing via Pub/Sub to the OSS
  • Maintain database reliability: PostgreSQL streaming replication health, backup and restore procedures, failover testing, query performance monitoring; Redis cluster operations, eviction policy management, and persistence configuration
  • Ensure log aggregation pipeline health (Loki or ELK): ingestion rates, retention policies, query performance, and completeness — the observability stack must be operational before the network events it monitors can be triaged
  • Partner with NI (Network Implementation & Infrastructure) on all planned infrastructure changes: receive advance notice, validate post-deployment observability, and sign off on operational readiness before the change window closes
  • Serve as the L3 escalation authority for all Cloud Infra incidents: take ownership from the Incident Manager, diagnose at the Kubernetes, storage, network, and database layer using kubectl, GCP console, node logs, and infrastructure telemetry, and deliver a resolution or a decision-grade root cause
  • Lead Cloud Infra troubleshooting bridges: command the technical investigation for GKE node failures, cluster upgrade failures, storage outages, PubSub pipeline disruptions, database failover events, and ArgoCD sync failures — drive to resolution or clear engineering handoff
  • Diagnose and resolve infrastructure failure modes: node NotReady conditions, pod CrashLoopBackOff chains, PVC mount failures, CSI driver errors, network policy misconfigurations, Helm release drift, etcd latency spikes, and cross-cluster federation breaks
  • Participate in the global 24x7 on-call rotation as the Cloud Infra domain escalation tier — reachable within defined SLA windows for Sev 1 events; function as the technical decision-maker, not the first responder
  • Define and maintain SLOs for all Cloud Infra components: GKE control plane availability, database query latency, storage IOPS, message pipeline throughput, and observability stack uptime — tied directly to network SLA commitments to MNO partners
  • Own error budget tracking and the process for trading error budget against deployment velocity; escalate when error budget burn rate requires engineering intervention or deployment freezes
  • Drive toil reduction: identify and eliminate manual Cloud Infra procedures; own the roadmap to automated cluster recovery, rolling restarts, storage repair, and certificate rotation in partnership with Ops Platform Engineering
  • Lead capacity planning for compute, storage, and network resources across public and private cloud — forecast growth based on subscriber projections and new MNO partner onboarding
  • Own Cloud Infra RCA end-to-end: lead the investigation, document the complete causal chain from infrastructure trigger through upstream NF impact, and deliver systemic action items with owners, timelines, and measurable success criteria
  • Deliver Initial RCA documentation within defined SLA windows; identify systemic infrastructure failure patterns — cluster upgrade regressions, storage controller bugs, network policy drift, resource exhaustion trends — and translate them into engineering requirements
  • Contribute to the weekly and monthly Network Performance Report: infrastructure availability, database latency trends, storage IOPS, observability pipeline health, and SLA deviation analysis
  • Author, own, and maintain all Cloud Infra runbooks and SOPs: GKE node recovery, database failover, storage expansion, Prometheus WAL repair, ArgoCD rollback, certificate rotation, and cluster upgrade procedures — every procedure tested before production reliance
  • Define the diagnostic decision tree for each known infrastructure fault class: entry condition, triage steps, isolation method, resolution action, and escalation criteria — written at the level where a Senior NRE can execute independently
  • Validate and sign off on operational readiness for all infrastructure changes: DCI/DCE build-outs, GKE cluster expansions, Kubernetes version upgrades, and new on-premise hardware deployments
  • Partner with OPE as the Cloud Infra domain's primary automation consumer: define Kubernetes event schemas, alert-to-action contracts, and closed-loop policy requirements for infrastructure auto-remediation
  • Represent Cloud Infra in NI architecture reviews: define observability and operational readiness requirements for all infrastructure expansions and GitOps pipeline changes before go-live
  • Collaborate with Core NRE and RAN NRE on infrastructure-layer issues affecting network functions: pod scheduling, PVC availability, network policy changes, and platform upgrade impacts on NF workloads
  • Partner with security teams on infrastructure hardening: patch compliance, RBAC policies, network segmentation, container image scanning, and runtime security monitoring across public and private cloud
  • Surface toil and automation opportunities to the Service Assurance & Automation team — document the procedure, frequency, and MTTR cost as structured input to the automation backlog
  • Mentor Senior NREs in Cloud Infra domain depth: Kubernetes troubleshooting patterns, storage operations, database reliability, observability pipeline internals, and escalation judgment
  • Own operational oversight of GitOps tooling in production: ArgoCD sync health, Helm chart version management, drift detection, and rollback execution for multi-cluster deployments
  • Review and validate Infrastructure as Code (Terraform, Ansible) changes that impact production — ensure operational impact is assessed and observability is in place before merge
  • Engage Skylo's Platform Engineering and NI teams with full operational context when issues exceed operational resolution authority — deliver a structured problem statement, infrastructure telemetry bundle, and a clear question rather than a vague escalation

Skills

  • 8–10+ years of infrastructure engineering, Site Reliability Engineering, or cloud operations in a production 24x7 environment — with direct on-call ownership for Kubernetes-at-scale environments
  • Deep Kubernetes expertise: multi-cluster operations (GKE or EKS), node pool management, RBAC, network policies, persistent storage (PVC, CSI drivers), CRD/operator patterns, and production cluster upgrade procedures
  • Hybrid cloud operations: hands-on experience operating both public cloud (GCP or AWS) and on-premise/private cloud infrastructure (bare-metal Kubernetes, KVM, or hyperconverged platforms)
  • Production observability stack ownership: Prometheus (federation, remote write, WAL management), Grafana, VictoriaMetrics, OpenTelemetry, and alerting pipeline design with Pub/Sub or equivalent
  • Database reliability: PostgreSQL streaming replication, backup/restore, failover procedures, and performance tuning; Redis cluster operations and persistence management
  • GitOps tooling in production: ArgoCD or Flux CD for multi-cluster operations; Helm chart authorship and version management; Terraform or Ansible for infrastructure provisioning
  • SRE fundamentals: SLO/SLI/SLA definition, error budget management, toil measurement, capacity planning, and on-call rotation design
  • Container and Linux internals: container runtime debugging, kernel-level performance analysis, storage subsystem troubleshooting, and network packet flow understanding
  • Runbook authorship: ability to write infrastructure diagnostic procedures at the level where a less-experienced engineer can execute them independently under incident pressure
  • Strong written and verbal communication: capable of delivering RCA documents, engineering escalations with structured problem statements, and MNO-facing infrastructure summaries
  • Experience operating cloud infrastructure for telecom or NTN workloads: 5G Core NF hosting, vRAN compute requirements, or satellite ground segment infrastructure
  • Software-defined storage expertise: Ceph, Rook, or equivalent distributed storage systems at production scale
  • Private cloud platform experience: KubeVirt, Harvester, or OpenStack for VM-container convergence on bare-metal infrastructure
  • Networking depth: BGP routing, VXLAN overlays, EVPN fabrics, software-defined networking, and hardware load balancer operations
  • Strong development background in Go or Python for building custom automation tooling, Kubernetes operators, or infrastructure lifecycle integrations
  • FinOps experience: cloud cost optimization, resource lifecycle automation, and capacity right-sizing across public cloud footprints
  • Certifications: CKA, CKS, AWS Solutions Architect Professional, or Red Hat Certified Architect

Benefits

  • Stock option-based equity program
  • Comprehensive benefits including medical, dental, vision, and retirement plan
  • Monthly allowances for wellness and education reimbursement
  • A generous time-off policy, holidays, and the opportunity to temporarily work abroad
  • Access to a world-class team across software, hardware, chipsets, telecom, satellite, and network virtualization
  • Open, transparent, inclusive culture that blends Silicon Valley, Nordic, and South Asia characteristics

Company Overview

  • Skylo is a global non-terrestrial service provider that allows smartphone and IoT cellular devices to connect directly over satellites. It was founded in 2017, and is headquartered in Mountain View, California, USA, with a workforce of 51-200 employees. Its website is https://www.skylo.tech.
  • Company H1B Sponsorship

  • Skylo has a track record of offering H1B sponsorships, with 10 in 2026, 5 in 2025, 3 in 2024, 4 in 2023, 3 in 2022, 6 in 2021, 7 in 2020. Please note that this does not guarantee sponsorship for this specific role.
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