обновлено 4 дня назад
Senior Site Reliability Engineer (SRE)
210 000 - 240 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Site Reliability Engineer (SRE): Building and maintaining scalable infrastructure for real-time analytics and machine learning workloads with an accent on reliability, observability, and operational excellence. Focus on designing CI/CD pipelines, incident response processes, and driving a culture of performance across engineering and data science teams.
Location: On-site in San Francisco, California, United States
Salary benchmark: $210K–$240K annually
Company
A technology company building a core platform for real-time analytics, machine learning workloads, and enterprise use cases.
What you will do
- Design, build, and maintain scalable infrastructure for real-time analytics and machine learning workloads.
- Improve reliability and performance through automation, observability, capacity planning, and proactive operations.
- Own CI/CD pipelines, deployment automation, rollback mechanisms, and configuration management.
- Implement monitoring, alerting, SLOs, runbooks, incident response, and on-call operations.
- Collaborate with engineering and data science teams to improve platform performance and reliability.
- Drive security, compliance, operational readiness, post-incident analysis, and continuous improvement.
Requirements
- 8+ years of experience in SRE, DevOps, or infrastructure engineering.
- 5+ years of experience with datacenter operations and/or systems and network administration.
- Experience with Docker, Kubernetes, Linux systems, networking, SSH, shell scripting, and Linux command-line tools.
- Strong knowledge of infrastructure as code using Terraform or Ansible, with programming and scripting skills in Bash and/or Python.
- Experience with monitoring and observability tools such as Prometheus, Grafana, Datadog, ELK, or OpenTelemetry.
- Excellent communication skills and the ability to work cross-functionally.
Nice to have
- Experience with AWS and other cloud or managed services.
- Experience supporting data-intensive platforms using Spark, Airflow, or Kafka.
- Familiarity with cloud-native security practices and infrastructure in SOC 2 or other high-compliance environments.
Culture & Benefits
- Ownership of mission-critical infrastructure supporting enterprise problems.
- Opportunity to influence platform scaling from deployment through incident management.
- Equity program designed to give new hires ownership.
- Engineering culture centered on curiosity, accountability, impact, and high performance.
- Transparent, market-based, and data-driven compensation philosophy.
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