Senior Backend Integration Engineer

Augury Augury · Vertical AI · Bengaluru India · R&D

This role focuses on building and maintaining backend integrations for an Industrial AI platform, enabling data flow from various industrial systems (CMMS, ERP, MES, SCADA, IoT) into Augury's platform. The engineer will design, develop, and scale robust connectivity solutions, data ingestion, transformation, and synchronization pipelines, working at the intersection of backend engineering, data integration, and customer needs.

What you'd actually do

  1. Design, build, and maintain scalable backend connectors to external systems such as CMMS, ERP, MES, historians, and industrial software platforms
  2. Develop integrations using REST APIs, webhooks, file-based interfaces, and other enterprise connectivity patterns
  3. Build data ingestion, transformation, normalization, and synchronization pipelines between external systems and internal platforms
  4. Handle authentication and connectivity patterns, including OAuth, API keys, service accounts, SFTP, and related enterprise mechanisms
  5. Improve connector reliability through retries, monitoring, logging, alerting, and failure recovery mechanisms

Skills

Required

  • 5+ years of experience in backend software engineering
  • Proven experience building and maintaining production integrations with third-party systems
  • Strong experience in one or more backend languages such as Python, Java, Node.js, Go, or C#
  • Strong understanding of API integration patterns including REST, webhooks, JSON, XML, and authentication flows
  • Experience with asynchronous processing, background jobs, queues, retries, and error handling
  • Experience designing data mapping and transformation logic across different source system schemas
  • Ability to work independently and drive technical solutions in ambiguous, cross-functional problem spaces
  • Strong communication skills and ability to collaborate across engineering and non-engineering stakeholders

Nice to have

  • Experience integrating with CMMS, ERP, MES, historian ,AVEVA, SCADA, or industrial platforms
  • Familiarity with middleware and integration platforms such as Boomi, MuleSoft, Workato, or similar tools
  • Experience with cloud infrastructure and services on AWS, Azure, or GCP
  • Experience with event-driven systems, messaging, and workflow orchestration
  • Familiarity with databases, ETL pipelines, and data platform concepts
  • Experience in B2B SaaS, industrial IoT, manufacturing, or enterprise software environments

What the JD emphasized

  • production-grade integrations
  • scalable, production-grade integrations
  • reliable, scalable solutions
  • production integrations
  • scalable backend connectors
  • connector reliability
  • reusable connector frameworks
  • backend architecture patterns