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what if your Python automation caught a critical asic bug before the physical silicon was even manufactured? our simulation platforms make that happen every release cycle! we are the system ethernet QA team at our r&d center, responsible for the testing and qualification of virtual networking silicon (simx) and software-from l2 forwarding and l3 routing to overlays, qos, and security. with simx, developers and QA engineers get hardware-free, early access to the asic for better debugging.
we are looking for a senior QA software engineer who combines network protocol expertise with strong Python automation skills. does debugging a bgp evpn route leak excite you as much as refactoring a TEST framework? then we should talk!
what you'll be doing:
we don't just complete checklists; we collaborate closely with r&d to lead the quality of new features from design to deployment. in this role, we:
review architectural designs and requirements for new features introduced to the product
drive the design, development, and execution of tests across functional, performance, and security scopes as part of sw ga and update releases
develop Python automation suites built on clean oop principles
chase down defects and validate fixes until we fully resolve the root cause
leverage the simx platform to validate code and debug the asic long before hardware arrives

we are a leading direct-to-consumer platform for app publishers.
we help publishers sell digital goods directly to their users - bypassing traditional app store commissions and owning the full payment and commerce experience.
the result: higher margins, better flexibility, and a more direct relationship with end users.
backed by $89m from leading investors and operators, weve grown 14x in the past year and now process over a billion dollars annually. were building the infrastructure that lets modern app businesses take back control of monetization - at scale
as a QA Automation tech lead, you will drive our automation strategy and testing frameworks. youll take end-to-end ownership of the automation architecture across all testing layers (api, UI, and e2e), from design to ci/cd integration. youll collaborate closely with r&d and product, serving as the technical leader championing quality across the team.
responsibilities
drive the automation strategy and framework roadmap, and be responsible for the framework architecture and technical standards (design patterns, structure, reusable infrastructure)
define the automation approach across testing layers: api, service-level, UI, and end-to-end, including mocking and sandbox strategies for third-party payment providers
own automation quality itself: TEST stability, flakiness reduction, execution time, and suite reliability
define and report quality metrics: coverage, pass rate, flakiness, and execution trends
integrate and evolve automation in ci/cd pipelines (github actions) for fast, reliable feedback on every change
represent testability in design and architecture reviews and surface risks early (shift-left)
partner with developers, product, and MANUAL QA to decide what gets automated, at which layer, and what does not
evaluate and introduce new tools and approaches, including ai-assisted testing workflows

Heres what youll be taking on:
Review requirements, specifications, and technical design documents to provide timely and meaningful feedback.
Identify risks and quality gaps.
Create detailed, comprehensive and well-structured test plans and test cases.
Develop and apply testing processes for new and existing products to meet clients needs.
Work with teams from different disciplines in the company.

About The Position
Own end-to-end quality across our company products, including web and mobile applications, backend services, embedded partner integrations, tracking systems and data flows.
Define and continuously improve the QA strategy, including regression coverage, release gates, risk assessment and production validation.
Architect, develop and maintain scalable test automation across UI, API and end-to-end system workflows.
Establish quality processes that identify defects and requirement gaps early in the development lifecycle.
Collaborate closely with Engineering, Product and DevOps to improve testability, CI/CD integration, deployment reliability and release readiness.
Analyze product requirements, challenge assumptions and proactively identify edge cases, dependencies and technical risks.
Lead, mentor and develop QA engineers while remaining deeply involved in hands-on automation and technical problem-solving.
Drive continuous improvements in automation effectiveness, test stability, defect prevention and overall delivery quality.
Take ownership of quality-related technical decisions, tooling and release recommendations.

As our Sensor Quality Lead, youll own the quality of the Sensor - how we test it, and how we prove it works accurately and efficiently across the environments our customers run it in. There's no existing playbook for this role; you'll be the one writing it, tackling complex testing challenges in the Linux systems realm and building the automation that lets us ship with confidence.

In particular:

Design and build automated test frameworks and specialized harnesses for the Sensor
Build and maintain test environments across Kubernetes, Docker, and VMs, including test applications written in different languages, so a single build is validated everywhere it runs
Build the test infrastructure that measures accuracy, performance, and resource consumption under high scale
Define quality metrics for the Sensor, build the test infrastructure that measures them along with dashboards and visibility measures to surface them
Collaborate with the Sensor teams, Product Managers, research, and other R&D teams to deliver end-to-end quality

Were seeking a Senior Quality Specialist to join our companys QA team. In this role, youll lead the implementation and continuous improvement of quality assurance processes - including design controls, change control, and risk management, ensuring our products meet the highest global regulatory and industry standards. Your expertise will directly impact the safety, quality, and compliance of cutting-edge AI healthcare solutions.
What Youll Do:
Lead product release processes for new medical devices and software versions, collaborating closely with R&D, Product, Delivery, and SW QA teams.
Create, Maintain and review product related documentation (DHF, DMR, DHR, TFs) with a deep understanding of product design, implementation, and testing.
Translate regulatory requirements into actionable processes, enhancing efficiency, compliance, and product quality across the organization.
Support core QMS processes including SW Development Life Cycle (SDLC), Risk Management, CAPA, Non-Conformance, Usability, Document Control, Training, and more.
Leading AI and SW quality related problem solving
Cross-functional Collaboration: Work closely with SW engineers, data scientists, and product teams to identify testing requirements, troubleshoot issues, and improve overall AI system quality.
Assist in internal and external audits, ensuring readiness and full compliance.

We are looking for an experienced QA Engineer who is passionate about quality, adversarial thinking, and bug hunting. You will own the quality of your product domains from feature planning through production release, working closely with Product, Design, and Engineering teams throughout the development lifecycle.
In this role, you will design comprehensive test plans, execute exploratory, functional, regression, and end-to-end testing across mobile and backend systems, and drive issues to resolution. You will take ownership of the quality of your domain, prioritize risks, communicate findings clearly across the organization, and continuously improve QA processes and testing methodologies.
We are looking for someone who enjoys challenging assumptions, works independently, embraces AI tools to improve productivity, and has a strong sense of ownership over product quality.
Responsibilities:
Design and execute comprehensive test plans for new features and enhancements.
Perform exploratory, functional, regression, and end-to-end testing across mobile applications and backend services.
Use AI tools to improve productivity, testing efficiency, documentation, and problem solving.
Own the quality of assigned product domains from feature planning through production release.
Identify, investigate, prioritize, and communicate defects and product risks across teams.
Collaborate closely with Product, Design, and Engineering to ensure high-quality feature delivery.
Drive continuous improvements to QA processes, testing methodologies, and product quality.
Take ownership of your domain by proactively identifying risks, proposing solutions, and driving quality initiatives.

we are looking for a QA Automation Engineer to join our growing team!
This is a great opportunity to be part of one of the fastest-growing infrastructure companies in history, an organization that is in the center of the hurricane being created by the revolution in artificial intelligence.
"our company's data management vision is the future of the market."- Forbes
we are the data platform company for the AI era. We are building the enterprise software infrastructure to capture, catalog, refine, enrich, and protect massive datasets and make them available for real-time data analysis and AI training and inference. Designed from the ground up to make AI simple to deploy and manage, our company takes the cost and complexity out of deploying enterprise and AI infrastructure across data center, edge, and cloud.
Our success has been built through intense innovation, a customer-first mentality and a team of fearless company ronauts who leverage their skills & experiences to make real market impact. This is an opportunity to be a key contributor at a pivotal time in our companys growth and at a pivotal point in computing history.
Key Responsibilities
Develop Testing & Automation SW tools from the ground up, interfacing to various systems and tests (Python-based).
Work closely with developers to create and maintain a state of the art system tests
Define, develop and execute testing plans with deep system knowledge and understanding.

we are looking for a Performance Engineer to join our growing team!
This is a great opportunity to be part of one of the fastest-growing infrastructure companies in history, an organization that is in the center of the hurricane being created by the revolution in artificial intelligence.
"our company's data management vision is the future of the market."- Forbes
we are the data platform company for the AI era. We are building the enterprise software infrastructure to capture, catalog, refine, enrich, and protect massive datasets and make them available for real-time data analysis and AI training and inference. Designed from the ground up to make AI simple to deploy and manage, our company takes the cost and complexity out of deploying enterprise and AI infrastructure across data center, edge, and cloud.
Our success has been built through intense innovation, a customer-first mentality and a team of fearless company ronauts who leverage their skills & experiences to make real market impact. This is an opportunity to be a key contributor at a pivotal time in our companys growth and at a pivotal point in computing history.
Key Responsibilities
Develop Testing & Automation SW tools from the ground up, interfacing to various systems and tests (Python-based).
Work closely with developers to create and maintain a state of the art system tests
Define, develop and execute various performance scenarios with deep system knowledge and understanding.

we are looking for a Automation Architect.
What You'll Do:
- Architect complex multi-system automations - OCR pipelines, Priority ↔ Salesforce sync, multi-carrier shipping, e-commerce ↔ ERP invoicing, reconciliation flows.
- Lead technical scoping for large Professional Services engagements.
- Build reusable process blueprints (we already have 116; you'll add the next 30).
- Troubleshoot the hardest production incidents - data, timing, auth, edge-cases in legacy systems.
- Mentor the PS team; review workflow designs; raise the architectural bar.
- Close the loop with Product on connector gaps, platform limitations, and feature requests.

we are looking for a AI-First QA Automation Engineer.
As an AI-First QA Automation Engineer, you'll build and scale Playwright automation while using AI tools and agents to transform how testing is developed and executed. You'll build reusable agent skills and workflows, configure agent environments, and optimize AI-assisted test generation, execution, failure analysis, and bug reporting. Working closely with Engineering, you'll help embed reliable AI-driven automation across the R&D lifecycle.
What youll do:
Build Playwright Automation: Design, build, and maintain reliable end-to-end automation frameworks with a strong focus on stability and low flakiness.
Build and Optimize Testing Agents: Develop testing agents and their execution harnesses, including tool integrations, context management, and reusable skills. Evaluate and improve their reliability across test generation, execution, failure analysis, and bug reporting.
Drive AI Adoption: Help QA and Engineering teams adopt effective AI workflows by building shared agent configurations, reusable skills, and practical guidance for everyday development and testing tasks.
Integrate with CI/CD: Embed Playwright automation and AI-driven analysis into GitHub Actions and CI/CD pipelines, including automated test reporting and root cause analysis.
Test AI Features: Develop strategies to validate AI-powered product features, including instruction following, output quality, tool use, and agent state management.

we are looking for a QA Engineer.
As a QA Engineer, you will drive quality across complex systems and ensure reliable, high-quality product releases. Working closely with Engineering, Product, and AI teams, you will help identify risks early and improve quality throughout the development lifecycle.
What youll do:
Take full ownership of quality across rapidly changing domains.
Lead manual testing efforts for complex features across backend services, APIs, databases, and user-facing flows.
Deeply understand system behavior, identify edge cases, and validate complex end-to-end scenarios.
Work closely with developers, product managers, and AI teams to define requirements and the "Definition of Done."
Investigate production issues and ensure proper validation and regression coverage.