Senior Software Engineer, Infrastructure

Cribl · Enterprise · CA · Engineering

This role focuses on building and scaling the infrastructure and telemetry platform that supports AI initiatives within enterprises. The engineer will work on cloud services, distributed systems, and reliability to manage and analyze real-time data for AI applications.

What you'd actually do

  1. Contribute along with product and platform teams to build and deliver solutions that improve our cloud service, infrastructure, and tools.
  2. Solve infrastructure problems with a software-driven, cloud first approach and a keen eye towards quality, testability, and repeatability.
  3. Engage with teams directly to implement product roadmaps and objectives with a focus on service delivery and reliability.
  4. Contribute to the development of best practices and engineering standards within the team.
  5. Help Identify and drive down toil with creative innovation and automation.

Skills

Required

  • Development with JavaScript/Node.js/TypeScript in a Linux/Mac environment.
  • Significant experience building and deploying infrastructure in a public cloud environment using a software development driven approach (Cribl uses Terraform).
  • Significant experience in complex development environments, especially in large-scale highly available distributed systems and SaaS platforms.
  • A solid understanding of writing software and API driven solutions that can be used to manage and abstract infrastructure details at the lowest level.
  • Experience with scaling and deploying Linux-based systems.
  • Experience with sustainable incident response in a blameless environment.
  • Comfortable with a high level of autonomy and working cross functionally with a highly distributed team of engineers.

Nice to have

  • Knowledge of Cloud and application security.
  • Strong knowledge of cloud design patterns for scale, data management, resiliency, etc.
  • A love for high quality and a knack for testing.
  • Opinions about dashboards, metrics, and SLOs.

What the JD emphasized

  • shipping only high-quality software
  • building the next generation of software
  • center of the wheel
  • solving reliability problems
  • strong opinions on how to make things better
  • build consensus around ideas
  • software-driven, cloud first approach
  • keen eye towards quality, testability, and repeatability
  • service delivery and reliability
  • elegant and high-quality software
  • sustainable incident response
  • high level of autonomy
  • working cross functionally
  • strong knowledge of cloud design patterns for scale, data management, resiliency, etc.
  • love for high quality and a knack for testing.