1

Python Kubernetes Software Engineer Data Jobs in Georgetown, TX

We are seeking a highly skilled software engineer, very proficient in C++ or Python coding. What ... Develop algorithms and data structures to solve complex computational problems. * Ensure security ...

Data Platform Engineer

Austin, TX · On-site

$113K - $136K/yr

... software engineering practices and a passion for building robust, efficient platforms. Key ... Data Engineering (Scala & Python) - Develop scalable data pipelines, frameworks, and services in ...

We are seeking a highly skilled software engineer, very proficient in C++ or Python coding. What ... Develop algorithms and data structures to solve complex computational problems. * Ensure security ...

We are seeking a highly skilled software engineer, very proficient in C++ or Python coding. What ... Develop algorithms and data structures to solve complex computational problems. * Ensure security ...

W2 Role : Data Platform Engineer

Manor, TX · On-site

$123K - $148K/yr

... software engineering practices and a passion for building robust, efficient platforms. Key ... Data Engineering (Scala & Python) - Develop scalable data pipelines, frameworks, and services in ...

... software ecosystem. • Data Engineering: Build and maintain the ETL pipelines that feed the AI ... C++/Python, Docker/Kubernetes, Vector Databases (Pinecone, Weaviate), and CI/CD for ML. • ...

Showing results 41-60

Python Kubernetes Software Engineer Data information

What are popular job titles related to Python Kubernetes Software Engineer Data jobs in Georgetown, TX?

For Python Kubernetes Software Engineer Data jobs in Georgetown, TX, the most frequently searched job titles are:

What job categories do people searching Python Kubernetes Software Engineer Data jobs in Georgetown, TX look for?

The top searched job categories for Python Kubernetes Software Engineer Data jobs in Georgetown, TX are:

What cities near Georgetown, TX are hiring for Python Kubernetes Software Engineer Data jobs?

Cities near Georgetown, TX with the most Python Kubernetes Software Engineer Data job openings:

Senior System Software Engineer - Data Platform Observability

NVIDIA

Austin, TX • On-site

Full-time

This job post has expired 1 day ago. Applications are no longer accepted.


Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 17 frontline employees who took The Breakroom Quiz

7th of 245 rated software companies


Job description

Job Summary:
NVIDIA’s Hardware Infrastructure organization is seeking a Senior System Software Engineer to lead the evolution of their next-generation Data & Observability Platform. This role involves architecting high-performance ingestion systems, building policy enforcement systems, and optimizing storage and cost while driving platform automation.
Responsibilities:
• Architect High-Performance Ingestion: Design and build centralized telemetry pipelines capable of handling massive scale. You will solve global latency challenges by implementing modern, push-based edge collection architectures to replace legacy proxy models.
• Build Policy Enforcement Systems: Design and implement the technical infrastructure for data governance, policy engines, access control enforcement points, secure credential management, and audit logging. Looking for someone who has built governance controls into a platform, not just administered them.
• Focus on User Experience: Develop a modern, web interface and APIs that unify distinct observability signals into a seamless, consolidated user experience.
• Optimize Storage & Cost: Implement cost-effective tiered storage architectures. You will define strategies for routing high-volume data to cold storage solutions to reduce costs while maintaining multi-year data retention.
• Drive Platform Automation: Architect workflow orchestration systems to automate platform maintenance, data lifecycle management, and complex pipeline operations.
• Work in a diverse team to provide operational and strategic data to empower our engineers and researchers to improve performance, productivity, and efficiency to continuously improve quality, workloads, and processes through better observability.
Qualifications:
Required:
• BS or MS in Computer Science, Electrical Engineering, or related field (or equivalent experience).
• 8+ years of full-stack software development experience with a focus on Data Platforms or Infrastructure Tools.
• Strong Full-Stack Fluency: Proficiency in high-performance backend systems programming and modern frontend web frameworks for building responsive user interfaces (Python, JS, Java, Rust, Go, React, or similar).
• Observability Expertise: Experience with observability platforms such as Apache Spark, Elastic/Open Search, Grafana, Prometheus, and other similar open-source tools. Hands-on experience operating and extending the Grafana Ecosystem or ELK stack at scale. You understand the internals of time-series databases and inverted indexes.
• Infrastructure-as-Code: Experience deploying complex stateful services on Kubernetes using Helm, Terraform, or Ansible.
• Streaming & Storage: Familiarity with event streaming and modern data lake formats.
Preferred:
• Experience writing Custom Grafana data source Plugins or backend plugins in Go.
• Background with migrating legacy monoliths to microservices or Vector-based pipelines.
• Experience with OpenTelemetry (OTEL) collector configuration, writing custom processors, or instrumentation SDKs.
• Background in Data Governance, including implementation of Policy-as-Code or compliance frameworks in a regulated environment.
Company:
NVIDIA is a computing platform company operating at the intersection of graphics, HPC, and AI. Founded in 1993, the company is headquartered in Santa Clara, USA, with a team of 10001+ employees. The company is currently Late Stage.

What Nvidia employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


Nvidia logo

About Nvidia

Sourced by ZipRecruiter

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by great technology--and amazing people. Today, we're tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Santa Clara, CA, US

Year founded

1993