Listed on Tyson Foods’s own careers site. You apply with them directly — we never stand between you and the employer.
What this role is
This senior engineering role leads the design and implementation of AI-assisted software development practices across an organization, consolidating expertise in application development, testing, integration, and data engineering. It suits experienced engineers who want to shape engineering standards, mentor teams, and drive adoption of AI coding tools at enterprise scale.
Our summary, not Tyson Foods’s wording. The full posting is on their site.
Skills this role names
- Amazon Web Services (AWS)
- Angular
- Apache Airflow
- Apache Camel
- Apache JMeter
- Apache Kafka
- Authentication
- AWS CloudFormation
- CircleCI
- Datadog
- Dell Boomi
- Dialectical Behavior Therapy (DBT)
- Django
- Docker
- Encryption
- FastAPI
- Figma
- Git
- Go
- Google Cloud
- gRPC
- Java
- JavaScript
- Jenkins
- JUnit
- Kubernetes
- Microsoft Azure
- Mulesoft
- OAuth
- Prometheus
- Pytest
- Python
- RabbitMQ
- React
- Retrofit (REST)
- Rust
- Security Assertion Markup Language (SAML)
- Selenium
- Simple Object Access Protocol (SOAP)
- SPARK
- Splunk
- SQL
- SSL/TLS
- Talend
- Technical Writing
- Terraform
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What they ask for
Required
- 5+ years of relevant practical experience
- Bachelor's degree or equivalent professional experience
- Expert-level proficiency in multiple programming languages
- Expert-level expertise in multiple front-end and back-end frameworks
- Proficiency in Git and version control systems
- Knowledge of DevOps, CI/CD pipelines, and infrastructure automation
- Experience designing and implementing software architecture
- Experience with API design and web services
- Experience with automated testing frameworks
- Knowledge of security principles including authentication, authorization, and encryption
- Experience with monitoring and observability tools
- Knowledge of cloud platforms and services
- Experience mentoring engineers and leading technical teams
Nice to have
- Master's degree in Computer Science, Computer Engineering, Information Systems, or related field
- Expert-level data engineering skills including pipelines, warehousing, and visualization
- Deep experience with enterprise integration platforms like MuleSoft, SnapLogic, or Dell Boomi
- Advanced expertise in APIs, middleware, message brokers, and ETL processes
- Experience with chaos engineering and advanced testing strategies
- Experience with big data technologies and data streaming solutions
- Experience with Infrastructure as Code design patterns
- Experience resolving complex integration escalations
- Background in data strategy and governance at enterprise scale