📍 Job Overview

Job Title: Senior Site Reliability Engineer - Observability and Telemetry Platform
Company: NVIDIA
Location: Santa Clara, California, United States (On-site & Remote)
Job Type: Full-Time
Category: DevOps, Infrastructure
Date Posted: August 1, 2025
Experience Level: 5-10 years
Remote Status: Hybrid (On-site & Remote)

🚀 Role Summary

Design, implement, and support operational aspects of NVIDIA's large-scale Observability & Telemetry collection platform, focusing on performance at scale, real-time monitoring, logging, and alerting.
Collaborate with cross-functional teams to ensure high availability, scalability, and reliability of NVIDIA's GPU cloud services.
Drive continuous improvement by proactively identifying and mitigating potential outages, optimizing system performance, and automating routine tasks.
Contribute to NVIDIA's culture of diversity, intellectual curiosity, problem-solving, and openness, fostering a blame-free environment for learning and growth.

📝 Enhancement Note: This role requires a strong background in infrastructure automation, distributed systems design, and a deep understanding of Linux, networking, and containers. Familiarity with programming languages like Python, Go, Perl, or Ruby is essential.

💻 Primary Responsibilities

Platform Design & Implementation: Design, implement, and maintain the Observability & Telemetry platform, ensuring it can scale to meet NVIDIA's growing needs.
Real-Time Monitoring & Alerting: Develop and optimize real-time monitoring and alerting systems to proactively identify and resolve issues before they impact users.
Performance Optimization: Continuously monitor and optimize platform performance, ensuring it meets NVIDIA's high standards for latency, throughput, and scalability.
Incident Response & Postmortems: Participate in on-call rotations, respond to incidents, and conduct blameless postmortems to drive continuous improvement.
Collaboration & Knowledge Sharing: Work closely with other SREs, software engineers, and stakeholders to share knowledge, improve processes, and drive innovation.

📝 Enhancement Note: This role demands a strong focus on system design, capacity planning, and performance optimization. Experience with large-scale cloud systems, Kubernetes, OpenStack, and observability tools like Grafana, OpenTelemetry, and Prometheus is highly desirable.

🎓 Skills & Qualifications

Education: Bachelor's degree in Computer Science, a related technical field, or equivalent experience.

Experience: 5+ years of experience in infrastructure automation, distributed systems design, and delivering foundational infrastructure and observability platforms.

Required Skills:

Proficiency in one or more programming languages: Python, Go, Perl, or Ruby.
In-depth knowledge of Linux, networking, and containers.
Experience with Kubernetes, OpenStack, and Docker.
Strong problem-solving skills and a systematic approach to debugging and optimizing code.
Familiarity with Grafana, OpenTelemetry, and Prometheus.

Preferred Skills:

Experience with large-scale private and public cloud systems.
Knowledge of system design principles and capacity management.
Familiarity with NVIDIA's GPU cloud services and products.

📝 Enhancement Note: This role requires a solid foundation in software engineering principles, distributed systems, and infrastructure automation. Experience with cloud-native technologies and a passion for crafting, analyzing, and fixing large-scale distributed systems is highly valued.

📊 Web Portfolio & Project Requirements

Portfolio Essentials:

Demonstrate your experience with infrastructure automation, distributed systems design, and observability platforms through relevant projects and case studies.
Showcase your ability to design, implement, and maintain large-scale systems with high availability and performance.
Highlight your problem-solving skills and experience with incident response and postmortems.

Technical Documentation:

Provide detailed documentation for your projects, including system design, architecture decisions, and performance optimization techniques.
Include any relevant code samples, scripts, or tools that demonstrate your technical skills and approach to problem-solving.

📝 Enhancement Note: NVIDIA values candidates who can clearly articulate their technical approach, demonstrate their ability to work collaboratively, and show a strong commitment to learning and growth.

💵 Compensation & Benefits

Salary Range: $144,000 - $230,000 (Level 3) and $168,000 - $270,250 (Level 4) annually, depending on location, experience, and the pay of employees in similar positions.

Benefits:

Equity
Comprehensive benefits package (see NVIDIA's benefits for more details)

Working Hours: Full-time (40 hours/week) with a flexible work schedule and on-call rotations.

📝 Enhancement Note: NVIDIA offers competitive compensation and benefits packages to attract and retain top talent in the industry. Salary ranges are based on market data and internal equity considerations.

🎯 Team & Company Context

🏢 Company Culture

Industry: Semiconductor and Graphics Processing Unit (GPU) technology, with a strong focus on artificial intelligence, data center, and gaming markets.

Company Size: Large (over 20,000 employees), with a global presence and a diverse workforce.

Founded: 1993, with a rich history of innovation and growth in the technology industry.

Team Structure:

Large, multidisciplinary teams working on various aspects of NVIDIA's products and services.
Collaborative and cross-functional, with a focus on knowledge sharing and continuous learning.
Flat hierarchy, with a strong emphasis on individual ownership and responsibility.

Development Methodology:

Agile and iterative development processes, with a focus on rapid innovation and continuous improvement.
Strong emphasis on automation, performance optimization, and quality assurance.
Collaborative code reviews, testing, and deployment strategies.

Company Website: NVIDIA

📝 Enhancement Note: NVIDIA's culture is driven by innovation, collaboration, and a passion for pushing the boundaries of technology. The company values diversity, intellectual curiosity, and a problem-solving mindset.

📈 Career & Growth Analysis

Web Technology Career Level: Senior Site Reliability Engineer, responsible for designing, implementing, and maintaining large-scale, highly available, and performant systems.

Reporting Structure: Reports directly to the Site Reliability Engineering Manager, collaborating with other SREs, software engineers, and stakeholders.

Technical Impact: Directly impacts the reliability, scalability, and performance of NVIDIA's GPU cloud services, ensuring high availability and a positive user experience.

Growth Opportunities:

Technical leadership roles, driving innovation and setting technical standards within the SRE organization.
Architecture and design roles, focusing on long-term system design, scalability, and performance optimization.
Mentoring and knowledge-sharing opportunities, fostering a culture of learning and growth within the SRE team.

📝 Enhancement Note: NVIDIA offers numerous opportunities for growth and development, both technically and professionally. The company values internal promotions and fosters a culture of continuous learning and improvement.

🌐 Work Environment

Office Type: Modern, collaborative workspaces designed to foster innovation and teamwork.

Office Location(s): Santa Clara, California (headquarters), with additional offices worldwide.

Workspace Context:

Open-plan offices with ample space for collaboration and teamwork.
Access to state-of-the-art hardware, software, and testing facilities.
Flexible work arrangements, including remote work options.

Work Schedule: Full-time (40 hours/week) with a flexible work schedule, including on-call rotations for incident response and support.

📝 Enhancement Note: NVIDIA's work environment is designed to support collaboration, innovation, and work-life balance. The company offers flexible work arrangements to accommodate individual needs and preferences.

📄 Application & Technical Interview Process

Interview Process:

Phone Screen (30 minutes): A brief conversation to assess your technical background, experience, and cultural fit.
Technical Deep Dive (60 minutes): A detailed discussion of your technical skills, experience, and approach to problem-solving, focusing on infrastructure automation, distributed systems design, and observability platforms.
System Design Review (60 minutes): A collaborative session to evaluate your system design skills, focusing on scalability, performance, and availability.
Final Interview (60 minutes): A conversation with the hiring manager to discuss your career aspirations, cultural fit, and next steps.

Portfolio Review Tips:

Highlight your experience with infrastructure automation, distributed systems design, and observability platforms.
Demonstrate your ability to design, implement, and maintain large-scale systems with high availability and performance.
Showcase your problem-solving skills and experience with incident response and postmortems.

Technical Challenge Preparation:

Brush up on your knowledge of Linux, networking, and containers.
Familiarize yourself with NVIDIA's products, services, and GPU cloud offerings.
Prepare for system design questions, focusing on scalability, performance, and availability.

ATS Keywords: Site Reliability Engineering, Observability, Telemetry, Infrastructure Automation, Distributed Systems, Python, Go, Perl, Ruby, Linux, Networking, Containers, Kubernetes, OpenStack, Grafana, OpenTelemetry, Prometheus, Incident Response, Postmortem, System Design, Performance Optimization.

📝 Enhancement Note: NVIDIA's interview process is designed to assess your technical skills, experience, and cultural fit. The company values candidates who can clearly articulate their technical approach, demonstrate their ability to work collaboratively, and show a strong commitment to learning and growth.

🛠 Technology Stack & Web Infrastructure

Observability & Telemetry Platform:

Data Collection: OpenTelemetry, Prometheus
Data Storage: Elasticsearch, InfluxDB
Data Visualization: Grafana, Kibana
Alerting: PagerDuty, OpsGenie

Infrastructure & Deployment:

Orchestration: Kubernetes, Docker
Container Registry: Docker Hub, Google Container Registry
Infrastructure as Code (IaC): Terraform, CloudFormation
Cloud Platforms: Amazon Web Services (AWS), Microsoft Azure, Google Cloud Platform (GCP)

Monitoring & Logging:

Monitoring: Prometheus, Grafana, Datadog
Logging: Elasticsearch, Logstash, Kibana (ELK Stack), Cloud-native logging with structured logging and centralized logging services

Collaboration & Communication:

Version Control: Git, GitHub
Project Management: Jira, Confluence
Communication: Slack, Microsoft Teams

📝 Enhancement Note: NVIDIA's technology stack is designed to support large-scale, highly available, and performant systems. Familiarity with these technologies is essential for success in this role.

👥 Team Culture & Values

NVIDIA's Core Values:

Innovation: NVIDIA values innovation and encourages employees to push the boundaries of technology.
Collaboration: NVIDIA fosters a culture of collaboration, with a strong emphasis on teamwork and knowledge sharing.
Integrity: NVIDIA values integrity and expects employees to act with honesty, fairness, and respect in all their interactions.
Performance: NVIDIA rewards excellence and expects employees to strive for continuous improvement and high performance.

Team Culture:

Diverse and Inclusive: NVIDIA values diversity and fosters an inclusive work environment that welcomes and supports employees from all backgrounds.
Learning and Growth: NVIDIA encourages employees to pursue continuous learning and professional development opportunities.
Work-Life Balance: NVIDIA supports employees in achieving a healthy work-life balance, with flexible work arrangements and a focus on well-being.

📝 Enhancement Note: NVIDIA's culture is driven by innovation, collaboration, and a passion for pushing the boundaries of technology. The company values diversity, intellectual curiosity, and a problem-solving mindset.

⚡ Challenges & Growth Opportunities

Technical Challenges:

Designing and implementing a large-scale Observability & Telemetry platform that can scale to meet NVIDIA's growing needs.
Optimizing system performance, ensuring high availability, and minimizing latency in a dynamic and evolving environment.
Proactively identifying and mitigating potential outages, minimizing downtime, and driving continuous improvement.
Collaborating with cross-functional teams to ensure the reliability, scalability, and performance of NVIDIA's GPU cloud services.

Learning & Development Opportunities:

Technical Skill Development: Expanding your knowledge of infrastructure automation, distributed systems design, and observability platforms.
Leadership & Mentoring: Developing your leadership and mentoring skills, driving innovation and setting technical standards within the SRE organization.
Architecture & Design: Deepening your understanding of system design principles, capacity management, and performance optimization.
Industry Engagement: Engaging with the broader technology community, attending conferences, and contributing to open-source projects.

📝 Enhancement Note: NVIDIA offers numerous opportunities for growth and development, both technically and professionally. The company values internal promotions and fosters a culture of continuous learning and improvement.

💡 Interview Preparation

Technical Questions:

System Design: Design a large-scale Observability & Telemetry platform, focusing on performance at scale, real-time monitoring, logging, and alerting.
Incident Response: Describe your approach to incident response, including triage, diagnosis, resolution, and postmortem.
Performance Optimization: Discuss your experience with performance optimization, including profiling, benchmarking, and optimization techniques.
Collaboration & Communication: Explain how you would collaborate with cross-functional teams to ensure the reliability, scalability, and performance of NVIDIA's GPU cloud services.

Company & Culture Questions:

Company Values: How do NVIDIA's core values align with your personal values and workstyle?
Team Dynamics: Describe your experience working in a collaborative, cross-functional team environment.
Work-Life Balance: How do you maintain a healthy work-life balance, and what support do you need to be successful in this role?

Portfolio Presentation Strategy:

Storytelling: Use storytelling techniques to engage the interview panel and highlight your experience, skills, and achievements.
Data-Driven Insights: Back up your claims with data-driven insights, demonstrating your ability to make informed decisions based on performance metrics and user feedback.
User-Centric Approach: Focus on the user experience and how your work contributes to NVIDIA's mission to deliver high-quality, reliable, and performant GPU cloud services.

📝 Enhancement Note: NVIDIA's interview process is designed to assess your technical skills, experience, and cultural fit. The company values candidates who can clearly articulate their technical approach, demonstrate their ability to work collaboratively, and show a strong commitment to learning and growth.

📌 Application Steps

To apply for this Senior Site Reliability Engineer - Observability and Telemetry Platform position at NVIDIA:

Submit Your Application: Visit the NVIDIA careers page and submit your application through the application link.
Prepare Your Portfolio: Highlight your experience with infrastructure automation, distributed systems design, and observability platforms. Include relevant projects, case studies, and technical documentation that demonstrate your skills and approach to problem-solving.
Optimize Your Resume: Tailor your resume to the specific requirements of this role, emphasizing your technical skills, experience, and achievements in infrastructure automation, distributed systems design, and observability platforms.
Prepare for Technical Interviews: Brush up on your knowledge of Linux, networking, and containers. Familiarize yourself with NVIDIA's products, services, and GPU cloud offerings. Prepare for system design questions, focusing on scalability, performance, and availability.
Research NVIDIA: Learn about NVIDIA's products, services, and GPU cloud offerings. Understand the company's mission, values, and culture, and be prepared to discuss how your skills and experience align with NVIDIA's goals.

📝 Important Notice: This enhanced job description includes AI-generated insights and web technology industry-standard assumptions. All details should be verified directly with the hiring organization before making application decisions.

Content Guidelines (IMPORTANT: Do not include this in the output)

Web Technology-Specific Focus:

Tailor every section specifically to DevOps, infrastructure, and site reliability engineering roles.
Include web technology methodologies, distributed systems design principles, and infrastructure automation practices.
Emphasize observability, telemetry, and performance optimization techniques.
Address incident response, postmortems, and blameless culture in the context of web technology teams.
Highlight the importance of collaboration, knowledge sharing, and continuous learning in web technology environments.

Quality Standards:

Ensure no content overlap between sections; each section must contain unique information.
Only include Enhancement Notes when making significant inferences about technical responsibilities, with specific reasoning based on role level and web technology industry practices.
Be comprehensive but concise, prioritizing actionable information over descriptive text.
Strategically distribute web technology and infrastructure-related keywords throughout all sections naturally.
Provide realistic salary ranges based on location, experience level, and web technology specialization.

Industry Expertise:

Include specific web technologies, frameworks, server platforms, and infrastructure tools relevant to the role.
Address web technology career progression paths and technical leadership opportunities in DevOps and infrastructure teams.
Provide tactical advice for portfolio development, live demonstrations, and project case studies tailored to infrastructure and site reliability engineering roles.
Include web technology-specific interview preparation and coding challenge guidance.
Emphasize performance optimization, accessibility standards, and user experience principles in the context of web technology teams.

Professional Standards:

Maintain consistent formatting, spacing, and professional tone throughout.
Use web technology and infrastructure industry terminology appropriately and accurately.
Include comprehensive benefits and growth opportunities relevant to DevOps and infrastructure professionals.
Provide actionable insights that give web technology professionals a competitive advantage.
Focus on web technology team culture, cross-functional collaboration, and user impact measurement.

Technical Focus & Portfolio Emphasis:

Emphasize infrastructure automation, distributed systems design, and observability platform development in portfolio requirements.
Address browser compatibility, accessibility standards, and user experience design principles in the context of web technology teams.
Focus on problem-solving methods, performance optimization, and scalable web architecture tailored to infrastructure and site reliability engineering roles.
Include technical presentation skills and stakeholder communication for infrastructure and site reliability engineering projects.

Avoid:

Generic business jargon not relevant to DevOps, infrastructure, or site reliability engineering roles.
Placeholder text or incomplete sections.
Repetitive content across different sections.
Non-technical terminology unless relevant to the specific web technology role.
Marketing language unrelated to DevOps, infrastructure, or site reliability engineering roles.

Generate comprehensive, web technology-focused content that serves as a valuable resource for DevOps, infrastructure, and site reliability professionals seeking their next opportunity and preparing for technical interviews in the web technology industry.

Senior Site Reliability Engineer - Observability and Telemetry Platform