About Maze

Maze is the user research platform that helps companies build the right products faster by making user insights available at the speed of product development.

In most companies, research demand far exceeds supply. Time, cost, and lack of access to expertise hold teams back. In today’s AI-powered world, anyone can build a product fast. The real challenge? Deeply understanding user needs and building the right product. That’s where Maze comes in.

We believe companies shouldn’t have to choose between building fast and building right. Maze makes research accessible, intuitive, and fast so product teams can put user insights at the center of every decision.

Our platform enables researchers, designers, and product managers to quickly recruit participants, run studies autonomously, and surface insights that actually drive product decisions. Our AI capabilities automate the busywork and add depth and direction to the insights themselves.

That’s why Maze was recently named the #1 user research platform in UX Tools’ Design Tools Survey—and why we’re scaling fast across industries like B2B SaaS, e-Commerce, Financial Services, Retail, and Automotive, supporting world class customers such as Uber, Amazon, Atlassian, Anthropic & more.

Maze is a Series B company backed by top-tier investors (Felicis, Emergence & Amplify). We operate a global remote workforce driven by our core values.

Location: Remote, preference for Netherlands, United Kingdom, Ireland, Spain or Portugal.

Key engineering and product teams are based in these locales.

The Role

We’re hiring a Senior Site Reliability Engineer to join our Platform team and help us build secure, reliable, and scalable systems as Maze grows.

This role sits at the intersection of cloud infrastructure, reliability, and security. You’ll work across our platform to improve how we operate production systems, strengthen our security practices, and give engineers the tooling and infrastructure they need to ship quickly and confidently.

We’re looking for someone who enjoys working across boundaries, takes ownership, and brings a pragmatic approach to solving problems. You don’t need to be an expert in every part of our stack, but you should be excited to learn, move quickly, and make an impact.

As an SRE at Maze, you will

Build, operate, and evolve our cloud infrastructure with reliability, scalability, and security in mind

Improve our observability practices and help engineers understand, debug, and operate systems in production

Partner across engineering and security to strengthen our cloud security posture and operational practices

Support security and compliance initiatives, including vulnerability management, security testing, and audit readiness

Build tooling and automation that reduces manual work and improves the developer experience

Bring an operational and security perspective to architecture and technical decisions

Improve how we prepare for, respond to, and learn from production incidents

Use modern AI-assisted and agentic workflows to build, debug, and operate systems more effectively

We’re looking for someone who

Has experience building and operating production systems in a modern cloud environment, ideally AWS

Understands modern SRE and infrastructure practices, including infrastructure as code and containerized workloads

Has experience with observability and knows what good monitoring, alerting, and production visibility look like

Brings a security mindset, with experience or interest in cloud security, vulnerability management, application security, or related areas

Has exposure to security and compliance frameworks such as SOC 2 or ISO 27001, or is interested in developing deeper expertise in this area

Can automate repetitive work using code and is comfortable working with at least one programming language

Is excited about AI-assisted development and actively uses modern AI tools in their work

Thrives in a fast-moving environment where ownership, curiosity, and pragmatic decision-making matter

The stack

Cloud & infrastructure: AWS, Kubernetes, Terraform, Docker