1 день назад
Senior Site Reliability Engineer (AI)
120 500 - 157 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Site Reliability Engineer (AI): Ensuring the reliability, resilience, security, and scalability of critical healthcare benefits platforms with an accent on distributed systems, cloud-native architecture, observability, and AI-assisted operations. Focus on owning SLOs and operational readiness, resolving root causes, improving incident response and MTTR, and mentoring engineers across teams.
Location: Remote within the United States; mandatory onsite Trailhead onboarding at the headquarters once per quarter, with travel and accommodations covered.
Salary: $120,500–$157,000 per year, plus performance-based incentives and restricted stock units.
Company
provides health savings, flexible spending, health reimbursement, and related benefits solutions for healthcare consumers.
What you will do
- Lead reliability improvements for critical services and influence production best practices across teams.
- Drive complex reliability initiatives, including root-cause resolution and long-term corrective actions.
- Design resilient, scalable, fault-tolerant systems with effective failure handling, observability, and recovery strategies.
- Own operational readiness, SLOs, incident quality, production health, and on-call responsibilities for key platforms.
- Apply AI to debugging, automation, anomaly detection, and operational insights.
- Mentor engineers and coordinate cross-functional incident response while improving reliability and MTTR.
Requirements
- 8+ years of experience owning complex production environments in SRE, infrastructure engineering, or a related discipline.
- Advanced proficiency in distributed-systems troubleshooting, performance tuning, cloud-native architectures, and high-availability design.
- Experience with Azure, Terraform, Kubernetes/AKS, or equivalent cloud infrastructure technologies.
- Experience with CI/CD tools such as Azure DevOps or GitHub Actions, plus observability and incident-management tools such as Dynatrace or PagerDuty.
- Experience applying AI/ML tools to debugging, automation, or operational insights.
- Strong coding or scripting skills in Python, PowerShell, Go, Bash, or similar languages, with the ability to mentor others.
Culture & Benefits
- Remote work within the United States with periodic onsite onboarding.
- Medical, dental, and vision coverage.
- HSA contribution and match, dependent-care FSA match, and 401(k) match.
- Uncapped paid time off and paid parental leave.
- Education and tuition assistance, fitness reimbursement, and wellness incentives.
Hiring process
- Screening interviews may be transcribed with Microsoft Copilot; candidates may opt out in advance.
- Live interviews and assessments must reflect the candidate’s own work and thinking unless AI use is explicitly authorized.
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