Jobs · Engineering · California

Sr Staff Site Reliability Engineer

Archer · San Jose, CA · 2 days ago
Engineering$207k–$259k/yrFull-time

Responsibilities

  • Implement and maintain the infrastructure and pipeline required for an internal LLM-powered chat service, potentially leveraging platforms like OpenRouter or similar alternatives.
  • Implement and maintain highly available, scalable, and secure cloud-native infrastructure on Amazon Elastic Kubernetes Service (EKS).
  • Develop and implement comprehensive observability strategies, including monitoring, logging, and alerting, to ensure the health and performance of our systems.
  • Architect and optimize data pipelines to ensure efficient and reliable data flow across various platforms.
  • Drive the continuous improvement of our CI/CD pipelines, promoting best practices for automated testing, deployment, and release management.
  • Drive cloud-first strategies, leveraging the full capabilities of cloud platforms for infrastructure, services, and operations.
  • Implement and enforce robust security practices across our infrastructure, applications, and data.
  • Design and maintain Docker-based containerization solutions for our applications.
  • Develop and maintain automation scripts and tools using Python, Bash, and PowerShell.
  • Collaborate with development teams to ensure reliability is built into the software development lifecycle from inception.
  • Troubleshoot complex production issues across various layers of the stack, identifying root causes and implementing preventative measures.
  • Participate in on-call rotations to support production systems.

Qualifications

  • 12+ years of experience in Site Reliability Engineering, DevOps, or a similar role with a strong focus on operational excellence.
  • Deep expertise in Amazon EKS, including cluster provisioning, management, and troubleshooting.
  • Extensive experience with observability tools and practices, including Prometheus, Grafana, ELK stack, or similar.
  • Proven track record in designing and implementing robust data pipelines (e.g., Kafka, Airflow, Spark).
  • Strong background in CI/CD methodologies and tools (e.g., Jenkins, GitLab CI, ArgoCD).
  • Expert-level knowledge of cloud platforms (AWS preferred), including infrastructure-as-code principles.
  • Comprehensive understanding of security best practices for cloud environments, applications, and data.
  • Proficiency in Docker for containerization and orchestration.
  • Advanced scripting and programming skills in Python, Bash, and PowerShell.
  • Solid understanding of networking concepts, distributed systems, and operating systems.
  • Excellent problem-solving, analytical, and communication skills.
  • Ability to work independently and as part of a highly collaborative team.
  • Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience.

Preferred Qualifications

  • Experience with other Kubernetes distributions or cloud providers.
  • Familiarity with compliance frameworks (e.g., SOC 2, HIPAA, GDPR).
  • Certifications in AWS, Kubernetes, or other relevant technologies.

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