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As a Software Engineer, Reliability Engineering, AiDP, you will join the Applied Machine Learning team within the AI and Data Platform organization. You will build, enhance, and maintain multi-tenant systems while collaborating with cross-functional teams to deliver impactful features across GenAI, ML, Inference, and Big data platforms. Your daily responsibilities include leading projects through their full lifecycle, operating and scaling high-throughput concurrent services, and diagnosing production challenges to ensure uptime for mission-critical systems. You will work with technologies including Python, Java, or Go, alongside Kubernetes, Docker, and CI/CD pipelines. The role involves managing complex distributed systems and big data tools such as Spark, Flink, Iceberg, Ray, and MLflow. You will solve technical challenges related to scale and performance while navigating hybrid cloud environments and diverse open-source technologies to support enterprise-wide machine learning capabilities.
What does a Software Engineer earn in Texas?
Median $192050 from 192 postings across 39 companies.
Python
Java
Go
Kubernetes
Spark
Flink
Trino
Iceberg
Flux
Argo CD
GenAI
Machine Learning
Distributed Systems
Big Data
Cloud Native
Operating Systems
Networking
Security Principles
LabVIEW
C++
Python
National Instruments
cDAQ
cRIO
PXI
Data Acquisition
Distributed Systems
Network Communication
Unit Testing
Performance Optimization
Debugging