Senior Site Reliability Engineer

Stack AV

$110K — $140K *
Technical Services
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Expertise in at least one scripting language (e.g. Bash, Python).
  • Fundamental understanding of Linux internals and TCP/IP networking.
  • Experience with cloud services (AWS, GCP) and cloud-native environments.
  • Skilled in infrastructure-as-code tools (e.g. Terraform, CloudFormation).
  • Ability to advise on scaling services while adhering to budget constraints.
  • Experienced with cloud-native and open source tools (e.g. Kubernetes, Prometheus).
  • Strong communication skills for diverse team collaboration.

Responsibilities

  • Monitor and maintain production services for maximum uptime.
  • Design scalable distributed systems for self-driving vehicle development.
  • Implement an incident management framework promoting continuous learning.
  • Enhance reliability and speed through automation.
  • Create detailed documentation for a knowledge base of runbooks.
  • Participate in on-call rotation to uphold service level objectives.

Benefits

  • Opportunity to work on cutting-edge technology in self-driving vehicles.
  • Culture of continuous learning and professional development.
  • Participation in a diverse and distributed team environment.
Full Job Description
About the Role:

Stack AV Site Reliability Engineers are responsible for enabling and ensuring our production systems meet their service-level objectives. Through the implementation of centralized observability and automation, the SRE team constantly ensures the health, reliability, scalability, and performance of Stack AV's infrastructure. Members of the team are expected to contribute to a culture of continuous learning, provide consultation on architecting for high-availability, and ultimately drive the uptime and performance of our systems.

Responsibilities:
  • Monitor and maintain mission-critical production services to ensure maximum uptime.
  • Design and implement scalable distributed systems to facilitate the development of self-driving vehicles.
  • Design and implement an incident management framework and build a culture of blameless postmortems and continuous learning.
  • Scale the reliability and velocity of our systems and processes through increased automation.
  • Document actions to build a comprehensive library of runbooks, which will act as a knowledge base and foundation for automation.
  • Participate in an on-call rotation to uphold the SLOs and SLAs of production services.

Qualifications:
  • Expertise in at least one scripting language (e.g. Bash, Python).
  • Fundamental understanding of Linux operating system internals, TCP/IP networking, and storage subsystems.
  • Experience scaling and securing services in the cloud (AWS, GCP) or cloud native environments.
  • Experience using infrastructure-as-code principles to automate the creation of infrastructure resources (e.g. Terraform, CloudFormation).
  • Understanding of engineering design limitations and ability to provide guidance to teams to scale their services to achieve desired performance within budget.
  • Strong experience implementing and debugging cloud native and open source tools such as Kubernetes, etcd, Prometheus, OpenTelemetry, and Istio.
  • Strong communication skills and the ability to work effectively in a diverse and distributed team.


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