Senior Software Engineer - Platform & MLOps
Core
Build internal platform tooling (dashboards, CLI, APIs) to enable self-service deployment and operation of AI/ML models for the engineering community.
Role type
Senior Full Stack Engineer (Platform & MLOps)
Builds
Internal developer platforms, model registries, experiment trackers, and automation workflows for AI model lifecycle management.
Domain
Travel technology / Artificial Intelligence / MLOps
Deliverable
production ML models | product features | infrastructure
Required skills
Python, TypeScript, React, Next.js, REST APIs, Infrastructure as Code (IaC), Docker, Kubernetes, AWS/GCP/Azure, Grafana, Prometheus, DataDog, LangSmith, CI/CD pipelines, asynchronous workflows
Preferred skills
Experience with model deployment and rollback strategies, building internal developer tools, collaborating with data science teams
Technologies
Python, TypeScript, React, Next.js, Grafana, Prometheus, DataDog, LangSmith, AWS, GCP, Azure, Docker, Kubernetes
Responsibilities
Develop internal platform interfaces (dashboards, model registries) using React and Next.js; Design and support backend services and APIs in Python; Create automation for model deployment, rollbacks, and scaling; Integrate monitoring and observability tools; Write testing and validation logic for ML pipeline components; Partner with internal engineering teams to iterate on tooling.
Seniority
Senior, hands-on IC