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Solutions Engineering Expert (Azure Integration)

Confidential Careers

2 - 5 years

Pune

Posted: 20/02/2026

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Job Description

Key Responsibilities:


Solution Architecture & Engineering


  • Design and implement enterprise integrations on Azure (API-first, event-driven), ensuring performance, resilience, and cost efficiency.
  • Build and maintain workflow-based systems (Logic Apps, Functions/Durable Functions) to streamline complex processes.
  • Deliver proofs of concept to validate emerging technologies and automation opportunities; transition PoCs into production-grade services.
  • Embed identity, access, key management, and data protection (Entra ID/Managed Identity, Key Vault, RBAC, Customer-Managed Keys) across all designs.
  • Produce clear technical documentation (HLD/LLD, runbooks, operational guidelines).


Intelligent Automation & Applied AI


  • Integrate AI-enabled capabilities (e.g., Azure OpenAI/Cognitive Services) into automations and decision-support workflows.
  • Identify automation potential by analysing process flows and data patterns; develop data-enabled solutions that enhance efficiency and accuracy.
  • Partner with product, platform, and data teams to bring governed, secure solutions from prototype to production.


Governance, Risk & Compliance


  • Apply structured risk management and promote responsible technology adoption (e.g., model guardrails, prompt safety, data minimization).
  • Align solutions to enterprise security, compliance, and audit requirements (e.g., SOC 2 controls, GDPR principles, traceability & evidence).
  • Ensure observability/traceability (App Insights/Log Analytics, KQL dashboards), operational resilience and disaster recovery patterns.


Cross-Functional Collaboration


  • Translate business/operational requirements into sustainable technical solutions with clear SLIs/SLOs.
  • Work closely with architecture, platform, and data teams to ensure interoperability, scalability, and cost control.
  • Drive continuous improvement and modernization of integration patterns, landing zones, and engineering practices.


Candidate Profile (Must-Haves):


  • 10+ years in solution engineering/enterprise system delivery, incl. hands-on Azure integration in the last 35 years.
  • Azure Integration Services: API Management (APIM), Azure Functions (incl. Durable Functions), Azure Logic Apps, Service Bus, Event Gridused productively in projects.
  • DevOps & IaC: Azure DevOps Pipelines (CI/CD) plus Infrastructure as Code (Terraform or Bicep or ARM templates).
  • Secure-by-Design: Entra ID/Managed Identity, Key Vault, RBAC/scopes, secrets rotation, data protection (at rest & in transit).
  • Proficiency in backend & API architectures (C#/.NET strongly preferred; Python a plus), testing & quality practices.
  • Strong analytical/problem-solving skills, system thinking, and excellent communication with technical & business stakeholders.
  • Degree in Computer Science, Information Systems or equivalent; continuous learning mindset.


Nice-to-Haves


  • Applied AI in production (e.g., Azure OpenAI, Cognitive Services, RAG/guardrails/evals, prompt safety).
  • Event-driven reference architectures, event sourcing, and Kubernetes/AKS.
  • Observability (App Insights, Log Analytics, KQL), cost governance (tags, budgets, FinOps awareness).
  • Experience in regulated environments (audit evidence, runbooks, change control).

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