Lead Software Engineer (Mlops)
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Job description
OverviewIn this role you will support the Data Intelligence Team within a global aviation tech environment.You will work in a small Agile group delivering mission-critical software and crafting robust APIs and data pipelines.You’ll contribute to scalable microservices on Kubernetes, maintain CI/CD and documentation, and collaborate with cross-functional teams to enable data-driven decisions.This is a growth-focused, inclusive role in a company that empowers its people and leverages cutting-edge tech to keep air travel running smoothly.Compensaciones / Beneficiosflexible work arrangements (flex week, flex day, flex-location)employee wellbeing programs (EAP, Champion Health)professional development and learning platforms (LinkedIn Learning, Pluralsight, Harvard Business Publishing, Stanford, etc.)competitive benefits tailored to local marketinclusive, diverse workplaceremote work optionsResponsabilidadesCollaborate in a small Agile engineering team to deliver business-critical softwareWrite high-quality code and robust merge requestsDevelop APIs with FastAPI and manage distributed tasks with RayHandle data collection and storage using SQLAlchemy and PolarsMaintain and improve CI/CD pipelines and documentationScale a microservices architecture on KubernetesContribute to technical designs, knowledge sharing, retrospectives, and demosCollaborate with other teams to enable usage of our softwareRequisitos principalesExperience with PythonExperience with FastAPI or similar web frameworksExperience with SQL and ORMs like SQLAlchemy (preferred) or alternativesExperience with distributed computing frameworks like Ray (preferred) or PySpark/DaskExperience with Docker and/or Kubernetesteam collaborationability to share knowledgeproactive communicationPythonFastAPISQLAlchemy
Requirements
Experience with FastAPI or similar web frameworks Experience with SQL and ORMs like SQLAlchemy (preferred) or alternatives Experience with distributed computing frameworks like Ray (preferred) or PySpark/Dask Experience with Docker and/or Kubernetes team collaboration ability to share knowledge proactive communication
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