Senior DevOps Engineer - Java Microservices, Kubernetes

MACHINE LEARNING TECHNOLOGIES LLC; San Leandro (CA); Sur place; USD 160 000 - 210 000; Plein temps

Résumé du poste

MACHINE LEARNING TECHNOLOGIES LLC in San Leandro, CA is seeking a Devops Engineer with 10+ years of backend development experience in Java microservices and Spring Web applications. You will manage MongoDB and Kafka, build Splunk dashboards, and configure alerts using SPLOC, AppDynamics, and Dynatrace.

Kubernetes/OpenShift expertise and strong communication are required. The role includes on-call support and monthly after-hours releases, with a collaborative team environment and interest in AI

Qualifications

• 10+ years of backend and devops experience in Java microservices.
• Proficient in Spring Web application development.
• Experience with MongoDB and Kafka.
• Hands-on with Splunk dashboards and alerts.
• Familiar with APM tools: SPLOC, AppDynamics, Dynatrace.
• Knowledge of Kubernetes/OpenShift container platforms.
• Comfort with on-call support and after-hours releases.
• Strong communication and teamwork skills.

Responsabilités

• 10+ years of backend development with Java microservices and Spring Web.
• Hands-on Splunk dashboard creation and alert setup.
• Use Splunk ML Toolkit and related AI tools as needed.
• Set up alerts via APM tools such as SPLOC, AppDynamics, and Dynatrace.
• Work with OCP and Kubernetes container platforms.
• Provide on-call support and monthly after-hours releases.
• Collaborate effectively with team and communicate clearly.
• Diagnose problems and solve them with minimal guidance.

Connaissances

Java microservices

Spring Web

MongoDB

Kafka

Team player

Effective communicator

Problem solving

On-call support

Outils

Splunk Dashboard

Splunk Machine Learning Toolkit

AppDynamics

Dynatrace

SPLOC

Kubernetes

OpenShift Container Platform

Description du poste

MACHINE LEARNING TECHNOLOGIES LLC in San Leandro, CA is seeking a Devops Engineer with 10+ years of backend development experience in Java microservices and Spring Web applications. You will manage MongoDB and Kafka, build Splunk dashboards, and configure alerts using SPLOC, AppDynamics, and Dynatrace.

Kubernetes/OpenShift expertise and strong communication are required. The role includes on-call support and monthly after-hours releases, with a collaborative team environment and interest in AI