3 days ago
Lisbon, PortugalSenior
Responsibilities
- Own and deliver end-to-end AI-powered product features from technical design through implementation, testing, release, and iteration.
- Build and maintain scalable backend services, APIs, and integrations.
- Collaborate with ML scientists and ML engineers to integrate ML-powered capabilities into reliable user-facing features.
- Contribute to technical design discussions and architecture decisions.
- Improve system reliability, performance, and maintainability while addressing technical debt.
- Collaborate with Product Management, Design, and engineering teams to turn requirements into technical work.
- Mentor junior engineers through code review, pairing, and knowledge sharing.
Requirements
- 5+ years of experience building and operating large-scale, Internet-facing applications.
- Fluency in Ruby and solid experience with distributed systems, RESTful APIs, AWS cloud infrastructure, Docker, and Kubernetes.
- Experience owning features end to end and delivering them to production with high quality.
- Working proficiency in Python is preferred.
- Preferred qualifications include SQL, Snowflake, dbt, data pipelines and transformations, LLM integration patterns, Metaflow or other ML pipeline tooling, ML frameworks, Kafka, A/B testing, feature flags, and incremental rollouts.
- Strong collaboration skills and the ability to work effectively with ML engineers and scientists.
Benefits
- Hybrid work model with purposeful in-person collaboration and flexibility to work remotely for part of the week.
- Inclusive workplace, equal opportunity employment, and reasonable accommodations for applicants with disabilities and disabled veterans.
Tech Stack
Categories
About Zendesk
Zendesk builds a cloud-based customer service and contact center platform that unifies ticketing, messaging, voice, knowledge base, and AI-driven automation for businesses. It sells SaaS subscriptions and add-ons to companies across industries; founded in 2007 and headquartered in San Francisco, Zendesk is privately held under Hellman & Friedman after being taken private, and supports omnichannel CX and employee service workflows.