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You will be part of our Engineering team at DevRev, developing solutions over the core platform via applications written in TypeScript, JavaScript, Python, etc. One of the key functions of this role is, building the Knowledge Graph that includes integration of DevRev with other SaaS and non-SaaS systems through webhooks and APIs and/ or real-time communication architectures. You will be expected to employ your creativity and expertise to ideate and shape how AI, analytics and workflows are used in customers' processes.
Job Responsibility:
Design, develop, implement and maintain integrations, automations and customizations to integrate DevRev with customers’ tech stack and workflows, and ensure successful customer engagements.
Integrate DevRev with other SaaS and non-SaaS systems through APIs and Webhooks and/ or real-time communication technical architecture.
Utilize AI in novel ways to solve customer problems, including Generative AI techniques like prompt engineering for foundation large language models (LLMs) to enable great AI agent experience.
Conduct data analysis, writing SQL queries, and building dashboards to share insights and drive decision-making.
Be proactive in communicating and keeping constant feedback loops to all key stakeholders including Customers, Engineering, Product, Customer Success & Support, Revenue, Marketing etc.
Learn new tools and guide customers through critical workflows, e.g. integration with code repositories.
Requirements:
Senior Integration Development Expertise: Requires 3+ years in integration software development, focusing on designing, implementing, and scaling complex, customer-facing solutions using Webhooks and APIs (ETL). This includes hands-on experience with TypeScript/JavaScript, Python, and SQL.
Robust System Architecture & Security: Proven ability to build resilient and scalable integrations by prioritizing maintainable design patterns and utilizing strategies like rate limiting, retries, and exponential backoff. Must have a solid understanding of secure API integration practices (OAuth, API key/token management, secrets handling).
Advanced Data Synchronization & Modeling: Expertise in managing large-scale data synchronization (one-way and two-way sync) and proficiently handling data mapping, transformation, and schema alignment across diverse systems, including familiarity with data modeling and graph data structures.
Operational Excellence & Observability: Skilled in applying event-driven and pub/sub architectures for reactive integrations. This includes implementing clear logging and actionable error surfacing to support observability, writing high-quality tests, and efficiently triaging technical blockers.
API Standards & Documentation: Proficient in working with OpenAPI specifications and integrating third-party SDKs (e.g., Google, Azure). Must have experience writing concise, well-structured documentation for long-term team understanding and onboarding.
Education/Experience: Bachelor’s degree in Computer Science or a related field, OR demonstrated equivalent professional experience.
Nice to have:
Experience with Model Context Programming (MCP) for context-aware integrations.
Hands-on experience deploying integrations on serverless and edge compute platforms (e.g., AWS Lambda, Google Cloud Functions).
Advanced certifications in AI or relevant technologies/architecture frameworks.