Your role As a Sr. Software Engineer on the Integrations team, you will lead the design and development of Dialpad’s key native integrations. These integrations enable real-time automation and data transfer between Dialpad and complementary systems, ensuring our mutual customers have a seamless, unified experience. This includes Agentic AI-compatible integrations, CRMs, ticketing systems, workforce management platforms, and industry-specific verticals such as recruiting, retail, and healthcare.

You will own a functional area or set of related features within Integrations, translating customer and business needs into robust technical solutions. You will help shape the 6-12 month technical direction for your area, break down larger projects into clear deliverables, and solve classes of problems through shared tools, patterns, and processes.

You’ll collaborate closely with engineering teammates, product leaders, business leaders, Dialpad customers, and external stakeholders. You will be expected to operate with little guidance, make pragmatic business and technical tradeoffs, and mentor other engineers through design, implementation, code review, debugging, and production support.

This position reports to our Engineering Manager and has the opportunity to be based in our Bangalore office. The position will require a hybrid working arrangement based out of our Bangalore office.

What you’ll do

• Own the technical design, development, maintenance, and reliability of key native integrations across Dialpad’s Integrations platform.
• Build and enhance integrations with systems such as Zendesk, HubSpot, AthenaHealth, Salesforce, Microsoft Teams, Google Workspace, and other customer-critical SaaS platforms.
• Lead the delivery of Agentic AI-compatible integrations that help customers automate workflows and connect Dialpad actions with external systems.
• Write architectural design and specification documents that clearly describe implementation options, tradeoffs, dependencies, risks, rollout plans, and success metrics.
• Develop backend services, APIs, workers, webhooks, data transfer flows, UI components, and automation workflows that scale across a large customer base.
• Break down larger projects into smaller deliverables and take responsibility for execution, delivery milestones, and the end-to-end result.
• Develop well-tested features with appropriate test hooks, monitoring, and alerting, resulting in low defect reports and healthier customer scenarios.
• Design for performance, reliability, debuggability, extensibility, security, privacy, and operational simplicity.
• Debug complex production issues across Dialpad services and third-party platforms, then turn those learnings into durable fixes and better team processes.
• Write clean, modular, and maintainable code using best practices along with unit tests.
• Participate in code and design reviews to ensure quality, maintainability, and scalability.
• Provide mentorship and technical guidance to junior engineers.
• Assist with emerging Agentic AI technologies and initiatives.
• Tech Stack: Python, Vue.js, Redis, Google Cloud, AI (MCP).

Skills you’ll bring

• 7+ years of professional experience as a software engineer, or equivalent practical experience.
• Experience owning significant backend, full-stack, platform, or integration systems in production, including design, implementation, launch, monitoring, and maintenance.
• Experience with at least one object-oriented programming language, especially Python or JavaScript.
• Experience building integrations, APIs, webhooks, event-driven systems, distributed systems, or customer-facing platform features.
• Strong testing, debugging, and troubleshooting skills, especially across distributed systems and third-party platform boundaries.
• Experience with OAuth, permission models, API rate limits, webhooks, event delivery, retries, idempotency, and third-party platform constraints.
• Experience with Agile development methodologies.
• Effective communication skills, including writing design documents, surfacing risks early, and keeping stakeholders aligned.
• Collaborative team player who can work independently and autonomously when needed.
• Ability to evaluate multiple technical approaches and explain tradeoffs clearly to technical and non-technical stakeholders.
• Pragmatic approach to solving problems while balancing customer impact, engineering quality, delivery timelines, and business goals.
• Experience mentoring engineers and raising the quality bar for a team.
• Agentic AI experience or strong interest in building AI-compatible product workflows.
• Usage of AI coding assistants such as Claude, Gemini, or similar tools for the majority of coding tasks.