Senior Azure Cloud Engineer — Scalable, Secure AI Apps

Farmer Veteran Coalition

United States

Hybrid

USD 93,200 - 135,700

Full time

14 days+

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Benefits offered by this job

Health benefits
401(k) matching & stock plan
Career development

Job summary

Conagra Brands is seeking a Software Engineer to design, build, and operate Azure-based solutions as part of our digital transformation. You will apply cloud-native patterns, automated tests, and secure-by-design practices to deliver scalable services.

You will collaborate across platform, security, and infrastructure teams, implement CI/CD pipelines, and enable observability with Application Insights while driving cost-aware improvements.

Qualifications

  • 2+ years of experience with a major cloud provider (Azure, AWS, or GCP).
  • Experience developing in container-driven or serverless environments (Kubernetes, Fargate, Lambda, or Azure Functions).
  • Experience testing solutions across the stack (unit/integration/regression).
  • Strong collaboration skills and ability to work independently.

Responsibilities

  • Design and deliver Azure-native services with APIs, event-driven functions, and App Service or AKS workloads.
  • Implement CI/CD pipelines in Azure DevOps or GitHub Actions with gates and approvals.
  • Automate deployments using Terraform with secure guardrails.
  • Build secure-by-design systems with least privilege and zero trust principles.
  • Design scalable architectures using Azure services and Service Bus for event-driven apps.

Skills

Cloud platforms
Serverless
Container orchestration
Testing
Collaboration
Team leadership
Communication

Tools

Terraform
Azure DevOps
GitHub Actions
Application Insights
Service Bus
AKS

Job description

Conagra Brands is seeking a Software Engineer to design, build, and operate Azure-based solutions as part of our digital transformation. You will apply cloud-native patterns, automated tests, and secure-by-design practices to deliver scalable services.

You will collaborate across platform, security, and infrastructure teams, implement CI/CD pipelines, and enable observability with Application Insights while driving cost-aware improvements.

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