Solution Engineer II

• System integration across heterogeneous SaaS and on-prem platforms
• Microsoft Azure (integration-related services, identity, networking, monitoring as applicable)
• Document and content: NetDocuments; CRM: Salesforce; procurement: Ariba; data/platforms: Oracle ecosystem
• Integration platforms: MuleSoft (or similar iPaaS / API-led connectivity patterns)
• Strong command of REST APIs and standard authentication patterns (OAuth 2.0 / OIDC, API keys, Basic Auth, client credentials, token refresh, and secure secret handling)

• • Design and implement API-first integrations (REST; SOAP where legacy systems require it)
  • Build and maintain payloads and contracts in JSON, XML, and flat files (e.g. CSV) as needed
  • Implement and troubleshoot auth flows end-to-end; document integration behaviour for operations
  • Develop or extend backend services using Java (Spring Boot), and/or Node.js / PHP where applicable
  • Validate data, implement error handling, retries, idempotency, and structured logging
  • Troubleshoot production issues, perform root cause analysis, and partner with vendors and internal teams
  • Support deployment, configuration, and monitoring of integration jobs and endpoints
  • Where product direction requires it, integrate with AI/ML services via their APIs (e.g. Azure OpenAI, other vendor LLM endpoints): auth, request/response handling, quotas, and observability

• • Bachelor’s degree in Computer Science, Information Technology, Electronics & Telecommunication, or equivalent experience 
  • Solid hands-on experience with REST APIs (design, consumption, pagination, versioning concepts)
  • Proficiency in at least one of: Java (Spring Boot), Node.js, or PHP for integration-style services
  • JSON / XML processing; SQL (e.g. MySQL or comparable)
  • Practical use of API testing tools (Postman, cURL) and reading HTTP traces
  • Exposure to cloud fundamentals; Azure is a plus when paired with integration scenarios
  • Practical familiarity with AI-assisted development: using modern coding assistants and LLM-based tools responsibly (clear prompts, reviewing generated code/config, avoiding leakage of secrets or customer data into

  public tools)

• Python scripting and strong SQL are pluses.

• Open-source or lightweight ETL / data pipeline exposure (e.g. Pentaho,n8n, Apache NiFi, Airbyte, dbt, or scripting ETL) — helpful for batch feeds and transformations

• Workato, Boomi, or similar low-code integration tools

• Webhooks and event-driven patterns

• Document management or legal / finance integration context

• Security and compliance awareness (audit logs, least-privilege access)

• AI / intelligent automation (nice to have): exposure to calling LLM or embedding APIs from application or integration code; basic concepts such as prompts, tokens/limits, and safe handling of PII in AI workflows; optional familiarity with Azure OpenAI Service, Amazon Bedrock, or similar managed AI APIs