Salary
≈ $19k – $52k per year (Estimated)
Location
In office (Pune)
Seniority
Middle
Overview
Company
Impact
Profile match
Close the gap between AI spend and AI adoption.. Pendo captures user behavior across your software and agents, identifies where users struggle, and puts that context to work—so your AI gets smarter in real time and every user gets a better experience.
Responsibilities:
- Design and build scalable backend services and APIs that power Pendo's integrations platform.
- Develop and maintain distributed, event-driven data pipelines that process and sync high volumes of behavioral and product analytics data.
- Contribute to frontend applications that allow customers to configure, manage, and monitor integrations and data workflows.
- Lead technical initiatives from design through implementation, testing, and production rollout.
- Integrate with third-party APIs and enterprise platforms using technologies such as REST, webhooks, and OAuth.
- Collaborate with product, design, infrastructure, and partner teams to translate business needs into high-quality technical solutions.
- Use modern development workflows and AI-powered tools to improve developer productivity and streamline engineering processes.
- Participate in design reviews and promote best practices in testing, observability, performance, and system reliability.
- Contribute to improving platform scalability, availability, and operational excellence.
Requirements:
- Experience building backend services, APIs, or distributed systems.
- Experience developing modern web applications using frameworks such as Vue, React, or Angular.
- Strong proficiency in at least one backend language such as Go, Java, Python, or C++.
- Experience working with cloud infrastructure such as AWS or GCP.
- Familiarity with distributed systems, event-driven architectures, or high-throughput data pipelines.
- Experience writing and maintaining unit, integration, and end-to-end tests.
- Strong collaboration and communication skills.
Nice to Have:
- Experience building integration platforms or working with third-party APIs.
- Familiarity with authentication models such as OAuth and enterprise SaaS integrations.
- Experience working with analytics or behavioral event data.
- Experience leveraging AI-assisted development tools or working with modern AI workflows.
Technologies We Use:
- Frontend: Vue, Vuex, React, Angular, Highcharts, Jest, Cypress.
- Backend: Go, Java, Python, C++.
- Cloud and Data: AWS, GCP, Redis, Pub/Sub, SQL/NoSQL.
- AI / ML: GenAI, LLMs, LangChain, MLOps.
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