Ready to build the unbuilt?

A bit about our purpose and who we are

Shoreline incident automation enables DevOps engineers to interactively debug at scale and quickly build remediations to eliminate repetitive work and minimize outages. Operators use Shoreline to orchestrate real-time debugging and automated remediation across their fleet and services, reducing tickets and improving systems availability along with keeping a healthy work-life balance for themselves.

As part of this team, you’ll have the opportunity to: - Contribute to product evolution with ideas - Interact and validate smooth and meaningful integrations with top products designed for operational field (just naming a few categories: observability - DataDog, incident management, fluent communication-Slack, etc) - Get familiar with SRE practices - Develop deep expertise in distributed systems operating loads of raw data, data transformation, and projections in real time - Get familiar with cloud providers(AWS, Azure, GCP) managed services, as well as Kubernetes, Docker and Podman - Have organizational visibility - What you'll be doing - Create testing-related documentation, including test plans, test approach, test cases and bug reports assessing quality and associated risk - Build testing frameworks to be used in the organization by our engineers, including yourself, for areas such as UIs, REST APIs, process automation and performance validation - Build a reliable fast feedback loop by integrating automation testing in CI and discovery pipelines - Make use of and improve the current tech stack: Cypress, TypeScript, Spinnaker, Jenkins, Jira, Qase, Python

Who you are: - Passionate about contributing to innovative software to create a large scale impact for customers in a highly untapped space - Detail oriented, so you manifest genuine care about the end users - Critical thinking, continuous discovery and improvement is your second nature - Self driven to define the testing scope, build the test approach that covers both sanity and in-depth testing, root cause analysis - Clean and sharp on describing what works and what doesn’t based on various scenarios - Basic usage of SQL - Open to autonomously learn Cypress and Python under senior SDETs guidance - Worked with Version control systems like Git - Aware of testing methodologies - Excited and eager to dive into and validate challenging integration projects - Attracted to the fast pace, breadth, and depth of learning and growth at a well-poised emerging product.