Summary
✨ AI‑Generated
Join a platform engineering team as a Site Reliability Engineer responsible for operating and improving distributed production systems in public cloud environments. You will build maintainable automation, troubleshoot complex issues across applications and infrastructure, and work extensively with Kubernetes, Linux, containers, infrastructure as code, CI/CD, policy as code, and observability. The role requires 5+ years of experience in SRE, production engineering, DevOps, cloud infrastructure, systems engineering, or a closely related field, along with strong programming or automation skills.
Highlights
Opportunity to work on large-scale distributed production systems in public cloud environments, with broad exposure across infrastructure, networking, application operations, Kubernetes, infrastructure as code, CI/CD, and modern observability. The role emphasizes strong automation, troubleshooting, and operational engineering practices.
Description
Required qualifications
5+ years of experience in site reliability engineering, production engineering, DevOps, cloud infrastructure, systems engineering or a closely related role.Strong software or automation skills in Python, Go, Java, Bash or a comparable language, with experience producing maintainable operational code.Hands-on experience operating distributed production systems in a public cloud environment and troubleshooting across application, infrastructure, network and device-integration layers.Experience with Google Cloud Platform, Oracle Cloud Infrastructure and production Kubernetes environments.Experience with infrastructure as code and delivery tooling such as Terraform, Helm, Git-based CI/CD and policy-as-code.Strong Linux, containers and Kubernetes fundamentals, including deployment behavior, resource management, networking and failure diagnosis.Strong troubleshooting & debugging skills in Kubernetes platforms.Experience with modern observability practices and tools across metrics, logs, traces, alerting, dashboards and synthetic monitoring.Familiarity with Prometheus, Grafana, OpenTelemetry or equivalent observability ecosystems.Familiarity with Apache Pulsar or similar distributed messaging and streaming platforms handling requests from millions of devices.Experience participating in an on-call rotation and responding effectively to high-severity, customer-impacting production incidents.Working knowledge of SLOs, error budgets, capacity planning, resilience engineering, change safety and blameless incident learning.Strong networking knowledge, including TCP/IP, DNS, DHCP, TLS, routing, NAT, load balancing and systematic packet- or session-level troubleshooting.Clear communication, disciplined documentation and the ability to collaborate across NOC, cloud, DevOps, firmware and service-provider teams.Bachelor’s degree in computer science, engineering or equivalent practical experience.Preferred qualifications
Experience supporting cloud-managed CPEs such as broadband gateways, routers, ONTs, Wi-Fi/mesh systems or similar edge devices in a service-provider environment.Familiarity with TR-069/CWMP, TR-369/USP, TR-181 data models, ACS or USP controller platforms, device telemetry and remote lifecycle management.Experience supporting messaging and streaming platforms such as Apache Pulsar or Kafka, APIs and highly available databases used in device-management control planes.Understanding of access technologies such as GPON/XGS-PON, DOCSIS, Ethernet or fixed wireless and how CPE, ONTs and provider networks interact.Experience with firmware rollout automation, canary or cohort deployments, fleet health analysis and safe rollback practices.Experience building auto-remediation, safe self-service operations or internal reliability platforms.Experience supporting multiple service-provider customers in a 24×7 telecommunications, broadband or managed-network environment.Seniority LevelMid-Senior level
Employment TypeFull-time
Job FunctionsInformation TechnologySkillsPython (Programming
