Composio Logo

Composio

QA Engineer, Integrations and AI Agents

Posted 2 Days Ago
In-Office or Remote
Hiring Remotely in EST
Mid level
In-Office or Remote
Hiring Remotely in EST
Mid level
Own product quality for integrations, APIs, dashboards, and AI-agent workflows: build test plans, perform exploratory and end-to-end testing, maintain regression suites, automate high-value tests, investigate production issues, and drive defects to resolution working closely with engineers and product managers.
The summary above was generated by AI

At Composio, we are building infrastructure that allows agents to communicate with the tools you use for work including Github, Gmail, Notion, Salesforce, etc. We raised a $25M Series A from Lightspeed with angels like Guillermo Rauch (CEO of Vercel), Dharmesh Shah (CTO of Hubspot), and Gokul Rajaram. We've 3x'd our ARR this year, and our customers range from your friends in the YC batch to Wabi, Glean, Zoom and many more.

About the role

We are looking for a QA Engineer who will own hands-on product quality across Composio's integrations, APIs, dashboards, and AI-agent workflows.
You will test new features before release, uncover edge cases that automated checks miss, improve regression coverage, and work closely with engineers to drive issues through resolution. This is a practical, execution-focused role for someone who enjoys breaking complex systems, clearly documenting what went wrong, and ensuring customers receive a reliable product.
This is a globally remote position, but you must work a full schedule aligned with the Pacific Time team.

What you'll work on
  • Own feature validation: Build test plans and validate new features from requirements through production release.

  • Test integrations and APIs: Verify authentication, API behavior, permissions, webhooks, retries, pagination, rate limits, error handling, and third-party dependencies.

  • Validate end-to-end workflows: Test complete customer journeys across the dashboard, SDKs, APIs, connectors, and agent workflows.

  • Perform exploratory testing: Find edge cases, unexpected interactions, and usability issues that are not covered by standard test cases.

  • Maintain regression coverage: Build and execute reliable regression suites for high-risk and frequently used product areas.

  • Test AI-native experiences: Evaluate tool-calling agents and other non-deterministic workflows where outputs may vary between executions.

  • Improve automation: Automate repeatable API, integration, and UI test cases where automation creates meaningful release confidence.

  • Investigate production issues: Reproduce customer-reported problems using logs, network traces, API responses, and production signals.

  • Drive defects to resolution: Write clear bug reports with reproduction steps, evidence, impact, severity, and expected behavior. Verify fixes and prevent regressions.

  • Strengthen release quality: Partner with engineers and product managers to identify risks, define acceptance criteria, and make informed release decisions.

Must haves

Quality engineering
  • Strong hands-on experience testing modern web applications, APIs, or developer products.

  • Excellent exploratory testing and debugging skills.

  • Ability to turn product requirements into structured test plans and high-value test cases.

  • Experience with functional, integration, API, end-to-end, and regression testing.

  • Strong understanding of defect severity, prioritization, release risk, and quality signoff.

APIs and integrations
  • Experience testing REST APIs using tools such as Postman, Bruno, Insomnia, or equivalent.

  • Ability to reason about authentication, permissions, retries, webhooks, pagination, rate limits, asynchronous workflows, and eventual consistency.

  • Comfort using browser developer tools, logs, API payloads, and network traces to investigate failures.

  • Working knowledge of SQL and the ability to validate data when debugging an issue.

Automation
  • Ability to write or maintain automated tests using JavaScript, TypeScript, Python, or a similar language.

  • Familiarity with tools such as Playwright, Cypress, pytest, or equivalent frameworks.

  • Understanding of CI/CD pipelines, automated quality gates, flaky-test management, and regression coverage.

Ownership and communication
  • You take ownership of quality problems and drive them through resolution.

  • You write precise, reproducible bug reports and communicate risk clearly.

  • You can work independently in an ambiguous, fast-moving startup environment.

  • You collaborate effectively with engineers, product managers, support teams, and other stakeholders.

  • You are consistently available and responsive during Pacific Time working hours.

Nice to have
  • Experience testing developer tools, SDKs, workflow automation products, or integration platforms.

  • Experience with OAuth, API keys, webhooks, and third-party application integrations.

  • Familiarity with AI agents, LLM evaluation, MCP, or tool-calling systems.

  • Experience testing across multiple browsers, devices, and operating systems.

  • Exposure to observability tools and production incident investigation.

  • Experience establishing QA practices or improving quality processes at an early-stage company.

What success looks like

Within your first few months, you will understand Composio's critical customer workflows, own validation for major releases, improve regression coverage, and help the engineering team catch high-impact issues before customers encounter them. Over time, you will make our releases faster and safer by combining thoughtful manual testing, targeted automation, and strong product judgment.

Similar Jobs

An Hour Ago
Remote
USA
163K-272K Annually
Expert/Leader
163K-272K Annually
Expert/Leader
Artificial Intelligence • Healthtech • Machine Learning • Natural Language Processing • Biotech • Pharmaceutical
Lead design, delivery and maintenance of GMP/GDP audit strategy for biologics, aseptic, small molecule and medical device areas. Plan and execute complex audits, coach auditors, analyze regulatory intelligence, drive corrective actions, support inspection readiness, and partner with PGS/PharmSci and site stakeholders to ensure compliance and continuous improvement.
Top Skills: Aseptic ManufacturingDigital HealthEu DirectiveFdaGdpGmpIchIsoMedical Device RegulationsPic/SQuality Management SystemSoftware As A Medical Device (Samd)Tga
An Hour Ago
In-Office or Remote
Expert/Leader
Expert/Leader
Artificial Intelligence • Healthtech • Machine Learning • Natural Language Processing • Biotech • Pharmaceutical
Lead International Commercial Digital & AI portfolio and commercial-model innovation across Top16 and Cluster markets. Own portfolio governance, investment decisions, business cases, benefits tracking, partnership strategy, FIT accelerator rules, and market-sensing inputs. Drive reuse discipline, model cost visibility, go/no-go gates, and scale proven use cases while influencing senior stakeholders across a global matrix.
Top Skills: Agentic TechnologyAISpark
An Hour Ago
In-Office or Remote
Expert/Leader
Expert/Leader
Artificial Intelligence • Healthtech • Machine Learning • Natural Language Processing • Biotech • Pharmaceutical
Own and operate the International Commercial build engine from data foundation to production AI. Deliver governed data platforms, reusable agentic AI and production-grade engineering via a shared deployable pool, vendor/SI management, platform integration with CIO, AI evaluation/red-teaming, AgentOps, run/BAU, observability, cost control and cross-functional stakeholder alignment to ensure reliable, compliant, and reusable solutions in production.
Top Skills: AgentopsCollibraDevOpsLoomModel GatewaySmall Language Models (Slms)Snowflake

What you need to know about the Colorado Tech Scene

With a business-friendly climate and research universities like CU Boulder and Colorado State, Colorado has made a name for itself as a startup ecosystem. The state boasts a skilled workforce and high quality of life thanks to its affordable housing, vibrant cultural scene and unparalleled opportunities for outdoor recreation. Colorado is also home to the National Renewable Energy Laboratory, helping cement its status as a hub for renewable energy innovation.

Key Facts About Colorado Tech

  • Number of Tech Workers: 260,000; 8.5% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Lockheed Martin, Century Link, Comcast, BAE Systems, Level 3
  • Key Industries: Software, artificial intelligence, aerospace, e-commerce, fintech, healthtech
  • Funding Landscape: $4.9 billion in VC funding in 2024 (Pitchbook)
  • Notable Investors: Access Venture Partners, Ridgeline Ventures, Techstars, Blackhorn Ventures
  • Research Centers and Universities: Colorado School of Mines, University of Colorado Boulder, University of Denver, Colorado State University, Mesa Laboratory, Space Science Institute, National Center for Atmospheric Research, National Renewable Energy Laboratory, Gottlieb Institute

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account