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Software Engineer - Distributed Systems and Platforms

Redwood City, CA, United States

Software Engineer (Distributed Systems and Platforms)

Full-time, on-site or Remote, multiple positions

Our incident automation enables DevOps engineers to interactively debug at scale and quickly

build remediations to eliminate repetitive work and minimize outages. As a Software Engineer, you'll get to work on tools that give SREs and operators leverage in their work.

We are a small yet highly effective engineering team that truly cares about the product and each other.

As part of this team, you'll have the opportunity to:

• Build products that genuinely improve operational and SRE work, improve availability, and dramatically reduce time to resolution

• Use modern development practices and get exposure to a variety of languages, platforms, and technologies

• Have organizational visibility and get to influence the product and roadmap

What you'll be doing

• Implementing a fault-tolerant distributed runtime for Shoreline Op, a purpose-built operations-oriented language designed to allow operators to debug operational events and automate remediations interactively

• Integrating with platforms (such as Kubernetes, VMware) and cloud providers (such as AWS, Azure, GCP) to provide fully automated discovery, monitoring, and management of resources across a customer's environment

• Building systems with arbitrary scale in mind, e.g., millions of nodes

• Developing our core product that runs on customers' machines to monitor and execute corrective actions with minimal footprint and continually push the envelope on performance

Who you are

• Hungry and passionate about building innovative software to create a large scale impact for customers in a highly untapped space

• Excited and eager to dive into challenging and interesting computer science problems in areas such as core backend development, distributed systems, SRE/DevOps, scalability, cloud, and performance optimization

• Attracted to the fast pace, breadth, and depth of learning and growth at a well-poised startup

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