Salary
≈ $19k – $45k per year (Estimated)
Location
Remote (India)
Seniority
Senior · 6+ years exp
Employment
Full-Time
Overview
Company
Impact
Profile match
Simbian builds artificial intelligence agents for security operations. Its platform automates detection engineering, triage and response tasks. The company runs public benchmarks for security agent performance.
The Role We are looking for SDET to own quality engineering for the Simbian platform end-to-end. This role is not about executing test plans handed to you. It's about building the test infrastructure, strategy, and culture that makes quality a first-class property of everything we ship. You will design and build automated test frameworks from the ground up, integrate quality gates into the release process, and define what "release-ready" means for a multi-tenant, AI-powered security platform. You'll work closely with engineering, product, and security teams to embed testability into the platform from the start. What You'll Do Test Automation & Framework Ownership
- Build and own the automated test framework covering UI, API, and integration layers for a multi-tenant web platform.
- Design and implement test suites that are reliable, maintainable, and fast enough to run in CI.
- Drive flaky-test reduction and own the health of the regression suite over time.
- Establish test patterns and tooling that engineers can build independently. Test Strategy & Coverage
- Design the test strategy for complex platform surfaces: multi-tenancy, RBAC, self-serve upgrades, and agentic workflows.
- Define coverage targets and release-readiness signals that the team can trust.
- Build and maintain regression suites that protect against regressions as the platform evolves rapidly.
- Identify gaps in coverage proactively and prioritize closing them based on risk. CI/CD Integration & Quality Gates
- Integrate test suites into CI/CD pipelines, so quality checks are part of every release, not an afterthought.
- Build containerized test environments using Docker and Kubernetes to ensure consistency across dev, staging, and production.
- Define and enforce quality gates that block bad releases and give engineers fast, clear feedback. Engineering Partnership & Defect Triage
- Partner with engineers early - during design and implementation - to ensure features are built for testability.
- Own defect triage: reproduce issues reliably, prioritize by impact, and track resolution.
- Contribute to architectural discussions where quality and testability are at stake.
Requirements You Might Be a Good Fit If You
- Have 6-10 years of SDET or quality engineering experience, with a track record of building automation infrastructure, not just writing tests.
- Think in systems: you design test strategies the way engineers design software.
- Are comfortable operating independently - defining scope, making tradeoffs, and driving execution without a detailed spec.
- Care about whether the product works for users, not just whether test coverage numbers look good.
- Enjoy debugging hard, flaky, or environment-dependent failures and turning them into reliable signal.
- Are comfortable in ambiguous, fast-moving environments where the product is changing as you test it. Must Have
- 6-10 years of professional SDET or quality engineering experience.
- Strong test automation experience in Python and/or JavaScript/TypeScript.
- Hands-on experience with API automation (REST, GraphQL) and UI automation (Playwright, Selenium, Cypress, or equivalent).
- Experience integrating test suites into CI/CD pipelines (GitHub Actions, Jenkins, or equivalent).
- Experience with containerized test environments using Docker and Kubernetes.
- Demonstrated ability to design test strategy independently - multi-tenancy, RBAC, or similarly complex surfaces preferred.
- Strong debugging skills and ownership mindset. Bonus / Great to Have
- Experience testing security products - SIEM, SOAR, EDR, NDR, or similar.
- Experience testing LLM-powered or agentic systems - evaluating non-deterministic outputs, hallucination edge cases, or agent behavior.
- Experience building evaluation frameworks or golden datasets for AI workflows.
- Experience with observability and tracing tools to debug test failures in distributed systems.
- Strong academic background in Computer Science or related field.
Benefits
- Build quality infrastructure for an AI-first cybersecurity platform from the ground up - no inherited mess.
- Work at the intersection of AI, cybersecurity, and distributed systems.
- Own the quality bar for the entire platform - your decisions shape what ships.
- Work directly with founders, engineers, and security experts.
- Be part of an early team where your work has an outsized, visible impact.
• Ship fast, learn fast, and build systems that matter.
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