What's Cool About This Job
WP Engine is seeking a Senior Production Engineer to join our rapidly growing engineering team in Dublin. This role is pivotal as we introduce Machine Learning into our platform to enhance operations and visibility. If you're an engineer with experience in technology transformations and service-oriented architectures, and you're motivated by scale, this could be your next big challenge.
The Day-to-Day Responsibilities
- Work with a passionate team to build the core AIOps framework that keeps WP Engine running smoothly.
- Constantly look for opportunities to automate and optimize.
- Write, test, integrate, and debug software applications that are resilient, secure, maintainable, and perform at scale.
- Continuously improve our secure, performant platform that supports tens of millions of end users.
- Improve problem detection and monitoring.
- Use and improve WP Engine's continuous integration and delivery pipelines to safely and rapidly push new code to production.
- Expand and fine-tune observability services to create better feedback loops using ETL pipelines, monitoring tools, and machine learning.
- Design, develop, and maintain robust platform infrastructure that supports ML workflows and data pipelines.
- Implement scalable and automated processes for deploying machine learning models into production environments.
- Develop and maintain automation tools to streamline ML operations, model training, and deployment processes.
- Establish monitoring systems to ensure the health, performance, and reliability of WP Engine platforms.
Your Expertise and Passion
- 5+ years experience in a site reliability engineer role.
- Proficient in programming.
- Experience with Machine Learning and AIOps.
- Experience with cloud technologies and services - GCP, AWS.
- Proven history of continuous learning and ability to stay ahead of technology trends.
- Proactive with natural problem-solving abilities, an inquisitive personality, a continuous learning approach, and an eagerness to tackle big problems even with uncertain requirements.
- Experience with a Kubernetes environment at large scale.
- On-call experience for critical services with good troubleshooting skills.
- Bachelor’s degree in Computer Science (or a related field) OR equivalent experience.
Helpful Experience
- Familiarity with the Go programming language (Golang).
- Familiarity with the Python programming language.
- Familiarity with CI/CD, IAC and common tools (Terraform, Helm, Cloudbuild, Jenkins).
- Experience with ML tools Google’s VertexAI platform, langchain, pytorch, tensorflow or similar tools.
- Experience fine tuning LLMs.
- Elasticsearch administration or development experience.
This role involves on-call work with a weekly rotation among team members and level two escalation on a follow the sun model.
Benefits Extracted with AI
- Company Stock Options
- 100% Paid Employee Medical, Dental, and Vision
- Pension Scheme with match
- Life Insurance and Income Protection
- Supplementary Maternity & Paternity Pay
- Employee Assistance Program
- Generous Vacation Time
- Home Office Stipend
- Tax free annual wellness benefit
- Company Wellness Days
- On-going education
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