Azure Back-End Engineer: AI-Driven Cloud Microservices

ConnectOS

Mandaluyong

Hybrid

PHP 781,000 - 1,339,000

Full time

4 days ago
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Benefits offered by this job

Hybrid Work Arrangement
Medical, Dental & Life insurance from
Paid Vacation & Sick Leave
Annual appraisal
Financial Assistance Program
13th Month Pay
Complimentary Sleeping Quarters
Office Fitness & Wellness facilities
Regular Company Events

Job summary

ConnectOS in Manila is seeking a backend software engineer to design and operate cloud-native platforms on Azure, delivering scalable services and CI/CD pipelines in a hybrid work setting at the Mega Tower, EDSA.

You will work with C#/.NET or Python, implement clean architecture, integrate AI/ML via Azure OpenAI, manage data with Delta tables and Databricks, and ensure performance and security through observability tools and secure coding practices.

Qualifications

  • Experience building scalable back-end services with clean architecture.
  • Cloud-native platforms on Azure with CI/CD.
  • AI/ML integration using Azure OpenAI / Azure AI Foundry.
  • Data integration with Delta tables, Databricks, Kafka or Event Hubs.

Responsibilities

  • Build back-end services with microservices and REST APIs.
  • Design service layers between assistant and data/back-end systems.
  • Ensure performance, scalability and resilience with observability tooling.
  • Work in agile, product-centric teams with code reviews.

Skills

C#/.NET
Python
Microservices
REST APIs
Azure
CI/CD
IaC
AI/ML integration
Data integration
Kafka/Event Hubs
Testing/Observability

Tools

Azure
Azure DevOps
GitHub Actions
Terraform
Bicep
Databricks
Delta Lake
Kafka

Job description

ConnectOS in Manila is seeking a backend software engineer to design and operate cloud-native platforms on Azure, delivering scalable services and CI/CD pipelines in a hybrid work setting at the Mega Tower, EDSA.

You will work with C#/.NET or Python, implement clean architecture, integrate AI/ML via Azure OpenAI, manage data with Delta tables and Databricks, and ensure performance and security through observability tools and secure coding practices.

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