Software Engineer
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Requirements
• Experience: 3+ years in software development, systems integration, or platform engineering. Customer-facing experience is a plus. • Background: Bachelor's or Master's degree in Computer Science, Engineering, or a related technical field. • Background: • Coding Skills: Strong proficiency in TypeScript/JavaScript, Python, data structures and algorithms. (Nice to have: Go) • Applied AI Knowledge: Familiarity with large language models (LLMs), prompt engineering, frameworks like RAG and function calling, and building evals to validate agentic AI solutions. • Applied AI Knowledge: • Integration Expertise: Deep experience with large-scale data synchronization (one-way and two-way), API integration patterns (REST, GraphQL, webhooks), and event-driven/pub/sub architectures. • Integration Expertise: • Cloud & Deployment: Hands-on experience deploying on serverless and edge platforms (AWS Lambda, Google Cloud Functions) with modern DevOps practices (CI/CD, containers, observability). • Cloud & Deployment: • Data Transformation: Skilled in data mapping, schema alignment, and working with heterogeneous systems. Understanding of data modeling and graph data structures. • Data Transformation: • Observability: Experience implementing clear logging, actionable error surfacing, and telemetry to support faster debugging and issue resolution. • Observability: • Context-Aware Systems: Familiarity with Model Context Programming (MCP) for building adaptive, context-aware integrations. • Context-Aware Systems: • Problem-Solving: Strong track record triaging and unblocking both technical and non-technical blockers to keep projects moving forward. • Problem-Solving: • Documentation: Experience writing concise, well-structured documentation that supports long-term team understanding and seamless onboarding. • Documentation: • Communication: Strong written and verbal skills to articulate technical concepts to engineers, product teams, and business stakeholders.As part of our hiring process, shortlisted candidates will undergo a Background Verification (BGV). By applying, you consent to sharing personal information required for this process. Any offer made will be subject to successful completion of the BGV. • Communication: • Culture • The foundation of DevRev is its culture -- our commitment to those who are hungry, humble, honest, and who act with heart. Our vision is to help build the earth’s most customer-centric companies. Our mission is to leverage design, data engineering, and machine intelligence to empower engineers to embrace their customers. • That is DevRev!
Responsibilities
• Customer-facing: 30% working directly with customers. • Customer-facing: • Coding & Integration: 70-80% hands-on technical implementation • Build & Deploy Solutions: Design, develop, and launch AI agents, integrations, and automations that connect DevRev with customers' existing tech stacks and workflows. • Build & Deploy Solutions: • Integrate Systems: Connect DevRev with SaaS and non-SaaS platforms through APIs, webhooks, and real-time communication architectures for seamless data flow. • Integrate Systems: • Optimize AI Performance: Apply prompt engineering, fine-tune semantic search engines, and leverage generative AI techniques to enhance agent accuracy and user experience. • Optimize AI Performance: • Own Data Insights: Write SQL queries, perform data analysis, and build dashboards to surface insights that drive customer decision-making. • Own Data Insights: • Prototype & Iterate: Develop rapid proofs-of-concept, conduct live technical demos, and refine solutions based on customer and stakeholder feedback. • Prototype & Iterate: • Lead Cross-functional Collaboration: Maintain constant communication loops with customers, engineering, product, customer success, support, and revenue teams to ensure alignment. • Lead Cross-functional Collaboration: • Guide Technical Adoption: Learn and master new tools, then guide customers through critical workflows like code repository integrations and advanced configurations. • Guide Technical Adoption: • Travel Ready: Willingness to travel up to 30% for on-site implementations, technical workshops, and customer engagements. • Travel Ready: