--- title: 'SDET at Composio' canonical: 'https://feeny.ai/job/sdet-composio-bengaluru-9qj3arr6ph2s' type: 'job' last_seen: '2026-09-10' --- # SDET at Composio - **Company:** Composio - **Location:** Bengaluru, India - **Employment:** full-time - **Work type:** onsite - **Posted:** 2026-06-22 - **Last confirmed live:** 2026-09-10 - **Apply:** https://jobs.ashbyhq.com/composio/6a0aaf1c-8a5e-4a12-8817-20f300ec8093 ## Job description ## About Composio 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 are a small team of engineers wrangling problems from context to search, that help us provide the most capable bridge between your agents and your tools. We raised a [$25M Series A from Lightspeed](https://lsvp.com/stories/investing-in-composio-building-the-backbone-of-ai-agent-intelligence/) with some incredible angels like Guillermo Rauch (CEO of Vercel), Dharmesh Shah (CTO of Hubspot), Gokul Rajaram. Beginning of this year we 3x'd our ARR, our customers range from your friends in the YC batch to Wabi, Glean, Zoom and many more. ## What You'll Work On - Build Automation Frameworks & Testing Infrastructure – Design, develop, and own automation frameworks, reusable test utilities, and quality tooling that enable scalable testing, validation, and release confidence across Composio's integrations, connectors, and agent workflows. - Validate Complex Integration Workflows – Design and execute test scenarios for critical integration workflows across internal and external systems, covering APIs, contracts, compatibility, authentication, webhooks, retries, idempotency, asynchronous workflows, and third-party dependencies. Identify edge cases and ensure reliable system behavior. - Enable Automation-Driven Quality Signoff – Build and maintain automated test suites, quality gates, and CI/CD checks that provide release confidence through functional, API, integration, contract, and regression testing. Analyse quality signals and engineering metrics to identify risks, prevent regressions, and support data-driven release decisions. - Build AI-Powered Quality Systems – Build AI-powered validation systems, agents, and automated workflows that help validate integrations, detect regressions, investigate failures, and scale quality across rapidly evolving products. - Improve Testing Strategy & Quality Practices – Contribute to testing approaches across integration, API, contract, and end-to-end layers. Improve test coverage, establish effective testing patterns, and strengthen validation practices across the engineering lifecycle. - Improve Reliability of AI-Native Products – Develop testing and evaluation approaches for AI-powered workflows, tool-calling agents, and other systems where outputs may vary between executions. Help measure quality, identify gaps, and improve confidence in AI-driven experiences. - Improve Production Quality & Reliability – Investigate production issues, contribute to root-cause analysis, enhance test observability, and implement preventive improvements that increase system reliability and platform stability. - Raise the Engineering Quality Bar – Partner with engineers to improve testability, provide input on design decisions, apply quality best practices, and help teams build reliable, testable systems. Must Haves Automation & Quality Engineering - You build automation frameworks, quality platforms, and developer tooling that engineers rely on. - You write clean, maintainable automation and validation code, and understand how to apply the right quality strategy across API, integration, contract, and end-to-end layers. - You care about quality outcomes, CI/CD quality gates, release confidence, and reducing flaky tests—not just test execution. Complex Systems & Integrations - You can reason about API behavior, authentication, retries, idempotency, eventual consistency, and distributed systems. - You have experience testing, validating, and debugging integration-heavy systems involving multiple services and external dependencies. - You use logs, traces, metrics, and production signals to investigate failures and improve system reliability. AI-Native - You actively use AI to accelerate testing, debugging, automation, or engineering workflows—with validation and critical thinking, not blind trust. - You understand AI agents, MCP/tool-calling systems, and LLM-powered workflows, and can think about evaluating and validating non-deterministic systems. Product Judgement - You make risk-based engineering decisions by balancing customer impact, reliability, delivery speed, and validation depth. - You understand user workflows and business impact, prioritize the highest-risk areas, and focus engineering effort where it creates the most customer confidence. Ownership & Collaboration - You take ownership of issues, drive them to resolution, and continuously improve quality outcomes. - You communicate clearly, explain technical trade-offs, and collaborate effectively across engineering teams. - You proactively learn, seek context, and independently solve ambiguous problems in a fast-moving environment. ## About Composio ## Company Overview - **One-liner**: Composio provides the infrastructure for AI agents to seamlessly integrate with 250+ tools, enabling agentic actions, managed authentication, and evolving tool skills through collective learning. - **Entity Type**: Private (Series A) - **Headquarters**: San Francisco, California, United States - **Founded**: 2023 - **Founders**: Soham Ganatra, Karan Vaidya ## Core Business - **Primary industry/industries**: AI Agent Infrastructure, Developer Tools, LLM Operations (LLMOps), Integration Platform as a Service (iPaaS) - **Target customers**: B2B – developers building AI agents, enterprise teams deploying LLM-based workflows, and companies needing secure, scalable tool integrations for autonomous agents - **Mission or purpose**: “Build infrastructure that enables AI agents to evolve – turning static tools into systems with genuine intuition, where every interaction makes the entire ecosystem smarter.” ## Products & Services - **Composio Platform**: A SaaS/API platform that provides managed OAuth, sandboxed execution environments, context-aware sessions, tool search, and triggers. It allows AI agents to connect to 250+ apps (CRMs, HRMs, ticketing, productivity, etc.) with zero setup and supports multiple AI frameworks (OpenAI, Anthropic, LangChain, LlamaIndex, Gemini, etc.). - **Rube (MCP Server)**: A Model Context Protocol server that connects AI tools (Cursor, Claude Code, VS Code) to 500+ apps like Slack, GitHub, and Notion, enabling real actions via natural language. - **SDKs (Python & TypeScript)**: Open-source SDKs for building custom agent integrations, with full type safety and support for both Node.js and browser environments. - **Managed Auth**: End-to-end OAuth handling, token refresh, lifecycle management, and granular permission scoping – all inline and triggered by user intent. ## Market Standing - **Valuation/Market Cap**: Not publicly available - **Key Metric**: Total Funding – $29M (Series A announced July 2025, led by Lightspeed Venture Partners; seed round led by Together Fund) - **Notable Investors/Partners**: Lightspeed Venture Partners (lead Series A), Together Fund (lead seed), plus 11 other investors in the Series A round - **Growth Signals**: 52 employees (+151.9% YoY), 14,326 LinkedIn followers (+221.8% YoY), 991k monthly website visits (+35.1% YoY), 29k+ GitHub stars, 70+ contributors, 19 active job postings (postings up 58.3% monthly), offices in San Francisco, India, Canada, Nepal, and Colombia ## Competitive Advantages - **Model & Framework Agnostic**: Works with all major AI providers and SDKs – no lock-in; tools and auth carry over when switching models. - **Managed Auth at Scale**: Fully managed OAuth for every connector, with just-in-time, scoped permissions – eliminates the biggest integration barrier for enterprise LLM deployment. - **Sandboxed Execution**: Remote ephemeral sandboxes where tools run as code; results stored on a navigable filesystem for agent browsing. - **Collective Learning Infrastructure**: Agents share learned heuristics and optimal workflows across the platform – “one agent’s experience improves every agent.” - **Security & Compliance**: SOC2 Type II certified, ISO 27001:2022 compliant, with fine-grained data access controls and enterprise-grade safety. ## Strategic Focus - **Current priorities**: Building the “shared learning infrastructure” for AI agents – enabling agents to evolve from static tools into systems that learn from experience. Key areas include capturing tacit knowledge from millions of interactions, turning edge cases into intuition, and making skills evolve with usage. - **Direction for growth**: Expanding enterprise adoption, deepening integrations (1000+ toolkits), and scaling the platform to support multi-agent ecosystems with real-time learning. ## Why Work Here - **Culture highlights**: The team is building infrastructure that “shapes AI’s future” and solving hard, unsolved problems in distributed self-improving systems. Emphasis on elegance, autonomy, and collective intelligence. - **Remote/hybrid/office policy**: Not explicitly defined, but HQ is in San Francisco with offices in the US, India, Canada, Nepal, and Colombia. Hybrid/remote likely depending on role. - **Notable perks or engineering culture**: Engineers work on cutting-edge LLM infrastructure, distributed systems, and developer tools. The blog highlights a focus on “hard problems no one’s cracked yet” and a commitment to creating “systems that feel magical.” Open roles include Member of Technical Staff (Research Engineer, Product Eng, Enterprise Platform), Growth Engineer, and Founding BDR – indicating a fast-scaling, high-impact environment. ## Sources 1. [composio.dev](https://composio.dev) 2. [LinkedIn – Composio (Sampark Inc)](https://www.linkedin.com/company/composiohq) 3. [GitHub – ComposioHQ/composio](https://github.com/ComposioDev/composio) 4. [Composio Blog – Series A Announcement](https://composio.dev/blog/series-a) 5. [Composio Jobs (Ashby)](https://jobs.ashbyhq.com/composio) ## Other roles at Composio - [Member Technical Staff - Applied AI Engineer (US Timing)](https://feeny.ai/job/member-technical-staff-applied-ai-engineer-us-timing-composio-bengaluru-t0fbp881dgaa) — Bengaluru, India - [Product Ops Intern](https://feeny.ai/job/product-ops-intern-composio-bengaluru-5b7q0frw5k1c) — Bengaluru, India - [Fullstack Engineer, Product Team (New Grad)](https://feeny.ai/job/fullstack-engineer-product-team-new-grad-composio-san-francisco-e7h1ec1b7qgz) — San Francisco, CA - [Forward Deployed Engineer (New Grad)](https://feeny.ai/job/forward-deployed-engineer-new-grad-composio-san-francisco-eyca5hq73w0g) — San Francisco, CA - [Forward Deployed Engineering Internship (Fall 2026 & Winter 2027)](https://feeny.ai/job/forward-deployed-engineering-internship-fall-2026-winter-2027-composio-san-a2brcfkshkhr) — San Francisco, CA - [Fullstack Engineering Internship, Product Team (Fall 2026 & Winter 2027)](https://feeny.ai/job/fullstack-engineering-internship-product-team-fall-2026-winter-2027-composio-esgpe0tm3dj9) — San Francisco, CA - [QA Engineer, Integrations and AI Agents](https://feeny.ai/job/qa-engineer-integrations-and-ai-agents-composio-us-pst-nvfvgjarvzfk) — Us: Pst, OR - [AI Engineer, Developer Relations](https://feeny.ai/job/ai-engineer-developer-relations-composio-san-francisco-ka80sbyb0wvh) — San Francisco, CA - [Member of Technical Staff, Enterprise Product](https://feeny.ai/job/member-of-technical-staff-enterprise-product-composio-san-francisco-6j5sqetjx3q5) — San Francisco, CA - [Deployed Systems Engineer](https://feeny.ai/job/deployed-systems-engineer-composio-san-francisco-zqrf9y4m64zw) — San Francisco, CA