Forward Deployed Software Engineer
Azist Technologies
About the role
Technical (Azure-specific) - AI/GenAI: Azure OpenAI / AI Foundry, Azure AI Search for RAG, Semantic Kernel or LangChain, prompt engineering, evaluation and guardrails - App and integration: Azure Functions, App Service, AKS and containers, API Management, Service Bus, Logic Apps - Data: Microsoft Fabric, Synapse or Databricks, Cosmos DB, Azure SQL, Data Factory pipelines - Identity and security: Entra ID, RBAC, Key Vault, managed identities, private endpoints. - DevOps / infrastructure as code: Bicep or Terraform, Azure DevOps or GitHub Actions, monitoring with App Insights and Log Analytics - Low-code: Power Platform, Copilot Studio, Dynamics 365 integration - Languages: C#/.NET and Python, TypeScript Must have - Works inside the client's environment and turns vague business problems into working prototypes in days, then takes them to production - Runs discovery calls and talks comfortably with CXOs and engineers alike - Can debug a messy enterprise setup on the spot (networking, permissions, legacy systems) - Writes clearly: architecture docs, demos, handover material Certifications : AZ-305 (Solutions Architect), AI-102 (AI Engineer), AZ-400 (DevOps), DP-600 (Fabric)
Eligibility & process
Who can apply
Experience: 8-10 Yrs. Open to matching qualifications.
Skills & stack
Selection process
- Online Assessment / Technical Interview Rounds / HR Review
Prep kit
20 resourcesStudy material 4
Company-specific guides 4
Likely coding questions 4
Round-wise strategy 4
Technical questions 5
What is the difference between WHERE and HAVING clauses in SQL? Answer
Explain SQL Window functions: ROW_NUMBER(), RANK(), and DENSE_RANK(). Answer
How do you handle NULL and missing values during data cleaning in Python/Pandas? Answer
What is the difference between Star Schema and Snowflake Schema in Data Warehousing? Answer
How do you calculate MoM (Month-over-Month) growth in SQL? Answer
Behavioural & HR questions 3
Highlight Azist Technologies's market reputation, recent tech innovations, and how your skills in SQL directly solve their team's objectives.
Use the STAR method: Situation (project context), Task (what needed solving), Action (specific tools/logic applied), Result (quantifiable positive outcome).
Explain your prioritization strategy, proactive communication with mentors/peers, and agile mindset.