Solution Engineer II
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- Pune, Maharashtra
- Permanent
- Full-time
- 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
- 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