Senior SDET / QA (Discovery platform team)

Reposted 5 Days Ago
Be an Early Applicant
2 Locations
In-Office or Remote
Mid level
Information Technology • Internet of Things
The Role
As a DevOps Engineer, you will enhance CI/CD practices, manage Linux infrastructure, automate tools, and collaborate with software engineers on development processes.
Summary Generated by Built In
About IP Fabric 

Join a pioneering force in network automation!

At IP Fabric, we enable people to uncover the truth about their networks. Built by network professionals and industry experts, our innovative solutions are transforming how enterprises manage their networks. As a post-Series B company, we're expanding rapidly across Europe, the U.S., and beyond. 

About The Role

At IP Fabric, correctness, performance, and reliability are core product features.

Our platform models large-scale, real-world enterprise networks. Customers rely on its outputs for operational and security-critical decisions. That means backend reliability, deterministic behavior, and safe releases are essential.

As a Senior SDET / QA, you engineer quality into complex backend systems. You build frameworks and testing tools, design realistic mocks, own CI/CD pipelines, work on data anonymization and ensure that what we ship behaves predictably under scale and imperfect data.

This is:

  • Not manual QA
  • Not frontend testing (no Selenium, no Playwright)
  • Not a DevOps-only role

This is a senior backend-focused engineering role.

What You’ll Do
Framework & Tooling Engineering
  • Design and build backend testing frameworks from scratch or significantly evolve existing ones
  • Define QA strategy and design tests to simulate complex network setups
  • Create tools for mocking complex network data and backend services
  • Contribute to data anonymization tooling
  • Ensure test reproducibility, scalability and reliability

You are expected to be an expert in framework and test tooling creation, not just a test case writer.

CI/CD Ownership (GitLab Required)
  • Own and evolve GitLab CI/CD pipelines
  • Improve pipeline performance and stability
  • Enforce quality gates and reproducible builds
  • Debug failing and flaky pipeline stages
  • Maintain containerized test environments

Hands-on pipeline ownership is mandatory.

Backend Quality Engineering
  • Work with backend services written in TypeScript
  • Build automation in Python (primary language)
  • Design tests for asynchronous, event and API driven, and data-heavy systems
  • Identify failure modes before they reach production
  • Collaborate in design discussions to ensure testability and reliability
What You'll Need  
  • 8+ years in IT
  • 5+ years as SDET / QA focused on backend services
  • 3+ years working with CI/CD pipelines (GitLab required)
  • 3+ years Linux & shell scripting
  • Strong hands-on Docker experience
  • Experience with virtualization (VMs) and containers
Required Technical SkillsPython Expertise (Primary)
  • Advanced-level Python
  • Builds internal frameworks and tools
  • Strong debugging capability
  • Writes production-quality code
TypeScript (Secondary)
  • Ability to code / understand existing code at solid level in TypeScript
  • Comfortable working with backend services
Docker & Containers
  • Writes and debugs Dockerfiles
  • Understands container lifecycle
  • Works with containerized test environments
  • Understands difference between containers and VMs
Linux & Shell
  • Comfortable working in Linux environments
  • Writes Bash scripts
  • Debugs system-level issues
  • Works fluently in CLI
CI/CD (GitLab)
  • Designed or significantly improved GitLab pipelines
  • Understands pipeline performance vs coverage trade-offs
  • Enforces quality gates
  • Debugs flaky jobs and unstable builds
Others
  • Networking
  • Complex regular expressions
Technologies
  • Backend services (TypeScript)
  • Python-based internal test frameworks
  • GitLab CI/CD
  • Docker & containerized environments
  • Virtualized network labs
  • Linux environments
  • Observability tools (logs, metrics)
Impact

You will:

  • Build robust backend testing frameworks
  • Design realistic network mocks and simulators
  • Improve CI/CD reliability and speed
  • Reduce flaky tests at the root cause
  • Increase release confidence
  • Engineer quality into the platform as it scales
Benefits & Perks 
  • 25 days of holidays + 5 flexi-days.
  • Pluxee Flexi Card (up to 16 000 CZK per year)
  • Full remote or hybrid role depending on your choice.
  • Anniversary rewards.
  • Collaboration with diverse, international teams.  
  • A pet-friendly office at IP Pavlova.   
  • Complementary and yummy snacks, coffee, brew and refreshments.  
  • Regular team and company events.

Join us to experience the unique culture of a founder-led startup, where from top to bottom everyone is hands-on and has a chance to make a tangible impact on influential enterprises worldwide. Being part of IP Fabric means being part of a flexible environment that prioritizes work-life balance and growth opportunities.

Top Skills

AWS
Azure
C
Chef
Docker
Elastic
GCP
Git
Gitlab
Gnu/Linux
Go
Grafana
Hyper-V
Jenkins
Kubernetes
Nginx
Openstack
Prometheus
Puppet
Python
RabbitMQ
Redpanda
Ruby
Salt
VMware
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The Company
HQ: New York, New York
106 Employees
Year Founded: 2015

What We Do

IP Fabric’s Automated Network Assurance Platform helps companies empower their network engineers to discover, verify, and document large scale enterprise networks within minutes. IP Fabric automates network infrastructure data collection and provides predefined verifications that highlight inconsistencies, misconfigurations and issues within enterprise networks.

With experience and strength across Financial Services, Manufacturing, Logistics, Public Sector and more, we are ready to support businesses in addressing their key network management challenges with a new, analytically driven way of managing your network infrastructure.

Using a unique network model and algorithms, the system reconstructs network state and simulates actual packet flows to detect critical violations, business-impacting inefficiencies, and verifies policy compliance.

Based on graph theory of mathematics, native visualization of all network topologies and protocols provides unparalleled visibility, answering the question about how the network is running. Beautiful documentation and report outputs can be used directly as part of an existing process or managerial reporting requirements

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