3 дня назад
Sr. Staff Production Engineer (Cloud Infrastructure)
143 500 - 205 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Sr. Staff Production Engineer (Cloud Infrastructure): Designing and operating highly available, scalable infrastructure across AWS, Azure, GCP, and bare-metal environments with an accent on automation, observability, and distributed systems. Focus on building self-healing systems, reducing Mean Time to Mitigate through incident command and post-incident analysis, and improving reliability across multi-cloud production services.
Location: Hybrid, with three days per week in San Jose, California, or Bellevue, Washington, USA
Salary: $143,500–$205,000 USD base salary per year, excluding bonus, equity, and benefits.
Company
provides a cloud-native Zero Trust Exchange platform that uses security data and AI to protect users, devices, and applications from cyberattacks and data loss.
What you will do
- Design and implement highly available, scalable infrastructure across AWS, Azure, GCP, and bare-metal environments.
- Write Python and Go code to eliminate manual toil, build self-healing systems, and promote an automation-first operating model.
- Implement observability with Prometheus, Grafana, and OpenTelemetry; define SLIs, SLOs, and error budgets.
- Serve as a lead Incident Commander during on-call operations, develop response playbooks, and conduct post-incident analyses.
- Partner with engineering and other teams on operability reviews and infrastructure standards.
Requirements
- 8+ years of experience managing reliability, scalability, and availability for large-scale production services.
- Deep programming expertise in Python, Go, or C/C++.
- Strong knowledge of networking protocols, Linux or FreeBSD systems, and distributed architecture.
- Experience with high-stakes incident management and participation in a 24/7 on-call rotation.
- Experience using ITIL frameworks, incident data, problem management, and technical operability reviews.
- Foundational understanding of AI/ML technologies and experience applying, securing, or positioning AI-driven solutions.
Nice to have
- Experience with AI-driven AIOps, anomaly detection, or predictive capacity planning.
- Expertise in AWS, Azure, GCP, Ansible, Terraform, chaos engineering, or disaster recovery at scale.
- Knowledge of BGP, GRE, IPSec, HAProxy, DNS at scale, and operating-system networking internals.
Culture & Benefits
- High-impact, high-accountability environment centered on customer obsession, collaboration, ownership, and transparency.
- Health plans, vacation and sick time, parental leave, retirement options, and education reimbursement.
- In-office perks and an inclusive workplace focused on belonging and equal opportunity.
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