Maze is a Series B-funded startup building the future of product research for modern teams. We're backed by some of the world's best funds and have an extensive advisory network.
We're on a mission to empower modern teams to build better user experiences by testing and learning rapidly with real users. To do this, we've partnered with the world's biggest design tools, including Adobe XD, Figma, InVision, Sketch, and Marvel. We power over 60,000 brands globally, including IBM, Logitech, Pipedrive, Uber, Greenpeace, and Braze.
We're a fully remote team working across 35+ countries. You'll be joining a passionate team whose resumes include Canva, Figma, GitLab, Google, InVision, Typeform and Zendesk.
Senior Site Reliability Engineer
The Role
Site Reliability Engineers at Maze help our engineering organization design, build and operate resilient, scalable and healthy systems.
Running highly reliable software is a complex endeavor. Our SREs build infrastructure and collaborate across our teams to help ship an excellent and trustworthy product to Maze’s customers.
As an SRE at Maze, you will:
Build and operate Maze’s cloud infrastructure
Empower engineers to ship at pace, safely and confidently
Implement tooling and practices that aid engineers in observing, debugging and understanding how Maze’s system operations in production
Support architecture and design, across multiple teams, to ensure operational reliability and scalability
Build tooling and automation that drives down manual toil
Improve our incident management lifecycle to identify, mitigate, and learn from past incidents
Our engineering teams prioritize shipping fast, learning from data, and designing for humans in our product and process. We like to build and use products that are polished and powerful.
We’re looking for someone who:
Has experience with modern SRE practices
Has production experience with at least one cloud platform, ideally AWS
Has good working knowledge of infrastructure tooling e.g. Terraform and Docker
Is capable with at least one programming language e.g. Python, Golang or JavaScript
Is enthusiastic about teaching and sharing their knowledge, and loves to level up the team around them
Has hands-on experience diagnosing complex production issues
Is comfortable with ambiguity and owning problems end-to-end
Our stack
We primarily use AWS for infrastructure, managed via Terraform. Our services run on Kubernetes and Lambda.
We rely on neo4j, PostgreSQL and Snowflake for our data layer
We test and deploy using CircleCI and Argo CD, and monitor our application with Datadog and Sentry
We write full-stack TypeScript, using Node and React
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