Senior Site Reliability Engineer

Stack AV

$120K — $150K *
US-AnywhereRemote in Pittsburgh, PA
Transportation
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Expertise in a scripting language like Bash or Python.
  • Fundamental understanding of Linux OS internals and TCP/IP networking.
  • Experience with cloud services (AWS, GCP) and cloud-native environments.
  • Proficient in infrastructure-as-code tools (Terraform, CloudFormation).
  • Ability to guide teams on scaling services effectively.
  • Strong background with cloud-native tools (Kubernetes, etcd, Prometheus, OpenTelemetry, Istio).
  • Excellent communication skills for collaboration in a distributed team.

Responsibilities

  • Monitor and maintain production services for maximum uptime.
  • Design and implement scalable systems for self-driving vehicles.
  • Create an incident management framework promoting continuous learning.
  • Increase reliability and efficiency through automation.
  • Document processes to build a comprehensive runbook library.
  • Participate in on-call rotations to meet service-level objectives.

Benefits

  • Opportunities for continuous learning and professional development.
  • Culture of blameless postmortems promoting team growth.
  • Engagement in cutting-edge technology related to self-driving vehicles.
  • Collaborative environment with a diverse team.
  • Focus on innovation and improvement in infrastructure solutions.
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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