Platform Engineer

Cargill
Atlanta, GA, United States
3 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Compensation
$145,000.0 - $180,000.0
Working hours
Regular working hours
Job source

Tech stack

Amazon Web Services Microsoft Azure Bash Shell Cloud Computing Cloud Engineering Computer Programming Continuous Integration Monitoring of Systems Python (Programming Language) Linux System Administration Networking Basics Site Reliability Engineering Practices
+12 more
Prometheus SQL Databases Pulumi Scripting Grafana Git Containerization Kubernetes Infrastructure Automation Frameworks Terraform Docker Jenkins

Job description

Cargill is seeking a Sr. Platform Engineer to design and operate scalable, secure platforms that power global manufacturing and food production. You will build automated, cloud-native infrastructure, implement CI/CD pipelines, and enhance reliability, observability, and performance across critical systems. Partnering with engineering, operations, and security teams, you’ll set platform standards, resolve complex incidents, and drive continuous improvement. Cargill’s culture emphasizes safety, integrity, and inclusive growth, offering opportunities to innovate while supporting global food security and sustainability., * Design, build, and maintain scalable, secure platform services supporting manufacturing and supply chain operations

  • Automate infrastructure provisioning and deployment using Ia
  • C and CI/CD pipelines
  • Optimize reliability, performance, and observability of production systems
  • Collaborate with development, operations, and manufacturing teams to define platform standards
  • Implement security, compliance, and data protection best practices
  • Troubleshoot complex production issues and lead root cause analysis
  • Guide adoption of cloud-native and containerization technologies
  • Mentor engineers and contribute to technical roadmap and architecture

Requirements

  • Cloud platforms (AWS, Azure, or GCP)
  • Infrastructure as Code (Terraform, Cloud
  • Formation, or Pulumi)
  • CI/CD tools (Jenkins, Git
  • Lab CI, Git
  • Hub Actions, or Azure Dev
  • Ops)
  • Containerization and orchestration (Docker, Kubernetes)
  • Linux system administration
  • Monitoring and observability (Prometheus, Grafana, ELK, or similar)
  • Scripting/programming (Python, Go, or Bash)
  • Networking fundamentals and security best practices
  • Relational/No
  • SQL databases
  • Dev
  • Ops/SRE practices and incident management

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