Usamos cookies técnicas y estadísticas de visitas: Yandex Metrica y el registro de visitas desidentificado de Zorky. Nunca vendemos datos. Más sobre cookies y estadísticas.
Zorky está en modo de prueba: todo es gratis. Este sitio es solo una demo: los nombres de empresas, los enlaces y tu feed personal se abren tras registrarte. Regístrate →
ZorkyZorky
Español
@termdocs
← Todos los empleos

Senior Software Engineer

Seniorremote401.000 USD · periodo no indicadoIndia, INhace 1 d
Análisis del mercado
📊 DevOps / SRE: salarios y demanda en el mercado
Stack
awscdkci/cdcloudformationcloudwatchdockerdynamodbecseksgithubgrafanajenkins
Detalles
Experiencia
3+ años
Prácticas
CI/CD
Formación
Máster o experiencia equivalente
Mostrar empresa y enlace
Gratis, tras iniciar sesión.
Postular
Sube tu CV: empleadores y reclutadores de distintos países que buscan tu perfil podrán contactarte directamente.
Enviar tu CV →
Descripción
Location Details: Remote, India This is a remote position, so you’ll be working remotely from your home. You may occasionally visit a GoDaddy office to meet with your team for events or meetings. Join Our team The ML Engineering (MLE) team builds and operates the production infrastructure that brings ML models to life across GoDaddy's global markets. We own model serving infrastructure, CI/CD pipelines for model deployment, the Model Gateway, API design, observability, and all inference context infrastructure. We partner with ML scientists who build the models — our job is to design the systems and make those models reliable, scalable, and observable in production. We are looking for a Senior Software Development Engineer to join our India-based engineering team. This is a mid-level IC role focused on building and operating ML infrastructure — writing production code, building deployment pipelines, improving observability, and partnering with ML scientists to productionize models! You'll work closely with the India-based engineering manager and collaborate daily with engineers in North America and India. What you'll get to do... Build and maintain model serving infrastructure — deploying ML models to production endpoints, managing autoscaling, and ensuring low-latency inference Develop and improve CI/CD pipelines for model training, testing, deployment, and promotion across environments Write production services in Python and Go, with infrastructure-as-code in TypeScript (CDK
Descripción completa, empresa y enlace para postular: después de iniciar sesión. Iniciar sesión
Los contactos del empleador (correo/teléfono/telegram) están ocultos en la vista previa pública. Envía tu CV para que los empleadores puedan contactarte directamente.
¿Pregunta urgente? Escribe a @termdocs