Lead Development Platform Engineering
Tyson Foods, Inc.Match Score
Against your primary resumeLogin to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Protocol Intelligence
Data-driven signals on your job's competitivenessSenior, specialized platform observability role with niche skills reduces applicant density.
Core cloud and platform skills transfer across industries, but data-observability specialization raises sensitivity.
Explicit 8+ years plus mandatory cloud, IaC, Kubernetes, and observability skills make filters strict.
Job Description
Structured overview of role & requirementsAbout This Role
Lead architecture, design, and implementation of AI-driven observability and automation solutions for enterprise data platforms.
Drive platform reliability by developing frameworks for real-time monitoring, anomaly detection, data quality tracking, and operational insights.
Collaborate cross-functionally to define requirements, mentor engineers, and ensure delivery of scalable, secure, and cost-efficient data observability capabilities.
Minimum Requirements
8+ years experience in platform, cloud, data engineering, DevOps, or similar roles.
Strong expertise with cloud platforms (GCP or AWS) and cloud-native technologies including containerization (Docker, Kubernetes) and Infrastructure as Code (Terraform, CloudFormation, Ansible).
Proficient in Python, SQL, Bash scripting, and experienced with CI/CD pipelines and DevOps automation.
Work Experience Required: 8+ years
Ideal Candidate Profile
Experienced leader in designing and delivering enterprise-scale cloud platform reliability and observability solutions leveraging AI and intelligent automation.
Strong cross-functional collaborator able to influence technical design and operationalize observability metrics aligned with business impact.
Engineer with hands-on technical skills and a strategic mindset to lead modernization and productivity improvements using modern cloud and AI-assisted engineering practices.