Digital - Principal SRE
Core
Design, deploy, and maintain AI-driven solutions and automation tools to ensure the reliability, scalability, and performance of digital platforms.
Role type
Principal SRE (AI Engineer)
Builds
AI-enabled applications, automation tools, and abstraction layers for AI providers
Domain
Artificial Intelligence, Machine Learning, Reliability Engineering, Cloud Infrastructure
Deliverable
production ML models
Required skills
Python, Java, Cloud platforms (AWS, GCP, Azure), Containerization (Docker, Kubernetes), Observability (Prometheus, Grafana, ELK), SRE principles (SLOs, error budgets), Infrastructure-as-code (Terraform, Ansible), CI/CD pipelines, LLM operationalization
Preferred skills
MLOps, Data Engineering, Cloud-native AI deployment, Security best practices for AI, Open source contributions
Technologies
Google, OpenAI, AWS, GCP, Azure, Docker, Kubernetes, Prometheus, Grafana, ELK, Service Now, Terraform, Ansible
Responsibilities
Design and implement AI-driven systems and automation tools; Monitor health and performance of AI-enabled applications; Integrate machine learning models into production; Establish and enforce SLOs and incident response procedures; Troubleshoot complex incidents related to AI systems; Drive continuous improvement through post-incident analysis and automation; Develop abstraction layers across AI providers; Conduct design workshops and POCs for data-driven agent workflows; Define metrics and evaluation plans for agent accuracy and cost effectiveness; Document processes and runbooks.
Seniority
Principal, hands-on IC with mentorship
