Senior Level Principal SRE Jobs
Senior level principal sre jobs place experienced engineers in charge of reliability architecture, production systems ownership, and the cross-functional teams that keep critical infrastructure running at scale. Roles are concentrated across Technology & Software, Electronics & Hardware, and Manufacturing, with a mix of on-site, remote, and hybrid positions, and employers like NVIDIA, T-Mobile, and Vertafore hiring at this level now.
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INTRODUCTION
Site Reliability Engineering (SRE) at NVIDIA is an engineering discipline focused on designing, building, and operating large-scale production systems with exceptional efficiency, resilience, and availability. It combines software and systems engineering practices with deep expertise across distributed systems, networking, cloud infrastructure, Kubernetes, databases, capacity management, continuous delivery, and observability. SRE at NVIDIA ensures that our internal and external services achieve their reliability and performance objectives while enabling developers to deliver changes safely and rapidly. Our engineers automate repetitive operational work, improve system performance, build scalable platforms, and continuously strengthen the reliability of production environments.
As a Principal SRE, you will shape the technical direction of NVIDIA’s AI Platform Runtime and lead reliability engineering initiatives spanning multiple organizations. You will solve complex, ambiguous problems at enterprise scale, establish architectural standards, and influence how teams design and operate critical AI-powered services. You will also advance the use of AI agents and skills to transform platform operations and developer productivity. Our SRE culture values intellectual curiosity, diversity of thought, collaboration, and learning through blameless analysis. We encourage engineers to think boldly, take thoughtful risks, and lead meaningful improvements across organizational boundaries.
ROLE AND RESPONSIBILITIES
What you’ll be doing:
- Define and drive the long-term technical vision, architecture, and roadmap for reliability across NVIDIA’s AI Platform Runtime and related enterprise systems.
- Architect highly available, resilient, secure, and scalable distributed platforms that power NVIDIA’s next-generation AI-driven products and services.
- Lead the design and development of AI agents, AI skills, and intelligent automation that accelerate platform operations, incident response, troubleshooting, and remediation.
- Establish platform-wide reliability standards, including service-level objectives, error budgets, capacity models, resilience patterns, and operational readiness requirements.
- Identify systemic risks and lead cross-functional programs that improve availability, scalability, performance, security, and developer productivity.
- Advance observability across complex distributed environments through OpenTelemetry, metrics, logs, traces, profiling, analytics, and automated anomaly detection.
- Partner with senior leaders and engineers across Cloud, Platform, Security, Networking, and AI/ML organizations to make high-impact architectural and investment decisions.
- Provide technical leadership during critical incidents and ensure that lessons from incidents translate into durable engineering and organizational improvements.
- Develop reference architectures, shared platform capabilities, and automation frameworks that can be adopted across multiple engineering organizations.
- Influence, mentor, and raise the technical bar for senior engineers and technical leaders throughout the company.
BASIC QUALIFICATIONS
What we need to see:
- 15+ years of experience in Site Reliability Engineering, Platform Engineering, Distributed Systems, Cloud Architecture, or related infrastructure engineering roles.
- BS or MS degree in Computer Science or a related technical field involving significant software development, or equivalent experience.
- Demonstrated experience setting technical strategy and leading large-scale engineering initiatives across multiple teams or organizations.
- Deep expertise in distributed systems architecture, networking, Linux, Kubernetes, and public cloud platforms such as AWS, Azure, or GCP.
- Strong proficiency in one or more programming languages such as Python, Go, TypeScript, JavaScript, or Java, with experience building production-grade automation and platform software.
- Extensive experience with infrastructure-as-code and platform automation technologies such as Terraform, Crossplane, AWS CDK, AWS CloudFormation, or equivalent tools.
- Deep understanding of observability at scale, including OpenTelemetry and modern metrics, logging, tracing, profiling, and analytics platforms.
- Expertise in reliability engineering practices, including service-level objectives, error budgets, capacity planning, fault tolerance, disaster recovery, incident management, and blameless postmortems.
- A track record of delivering measurable improvements in availability, performance, operational efficiency, or engineering productivity within complex environments.
- Outstanding technical judgment, communication, and collaboration skills, with the ability to influence senior stakeholders across technical and organizational boundaries.
PREFERRED QUALIFICATIONS
Ways to stand out from the crowd:
- Experience designing or operating large-scale AI/ML platforms, GPU infrastructure, inference systems, training environments, or high-performance computing platforms.
- Hands-on experience building AI agents, agentic workflows, or intelligent automation for infrastructure and production operations.
- Demonstrated success establishing reliability architecture and engineering standards adopted across a large enterprise.
- Experience applying machine learning, analytics, or advanced automation to capacity management, anomaly detection, incident response, or autonomous remediation.
- Recognized technical leadership through patents, publications, open-source contributions, industry standards, conference presentations, or widely adopted internal platforms.
COMPENSATION
Your base salary will be determined based on your location, experience, and other objective job-related factors. The expected base salary range for this position is 248,000 USD – 396,750 USD. You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until November 10, 2026. This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
INTRODUCTION
Site Reliability Engineering (SRE) at NVIDIA is an engineering discipline focused on designing, building, and operating large-scale production systems with exceptional efficiency, resilience, and availability. It combines software and systems engineering practices with deep expertise across distributed systems, networking, cloud infrastructure, Kubernetes, databases, capacity management, continuous delivery, and observability. SRE at NVIDIA ensures that our internal and external services achieve their reliability and performance objectives while enabling developers to deliver changes safely and rapidly. Our engineers automate repetitive operational work, improve system performance, build scalable platforms, and continuously strengthen the reliability of production environments.
As a Principal SRE, you will shape the technical direction of NVIDIA’s AI Platform Runtime and lead reliability engineering initiatives spanning multiple organizations. You will solve complex, ambiguous problems at enterprise scale, establish architectural standards, and influence how teams design and operate critical AI-powered services. You will also advance the use of AI agents and skills to transform platform operations and developer productivity. Our SRE culture values intellectual curiosity, diversity of thought, collaboration, and learning through blameless analysis. We encourage engineers to think boldly, take thoughtful risks, and lead meaningful improvements across organizational boundaries.
ROLE AND RESPONSIBILITIES
What you’ll be doing:
- Define and drive the long-term technical vision, architecture, and roadmap for reliability across NVIDIA’s AI Platform Runtime and related enterprise systems.
- Architect highly available, resilient, secure, and scalable distributed platforms that power NVIDIA’s next-generation AI-driven products and services.
- Lead the design and development of AI agents, AI skills, and intelligent automation that accelerate platform operations, incident response, troubleshooting, and remediation.
- Establish platform-wide reliability standards, including service-level objectives, error budgets, capacity models, resilience patterns, and operational readiness requirements.
- Identify systemic risks and lead cross-functional programs that improve availability, scalability, performance, security, and developer productivity.
- Advance observability across complex distributed environments through OpenTelemetry, metrics, logs, traces, profiling, analytics, and automated anomaly detection.
- Partner with senior leaders and engineers across Cloud, Platform, Security, Networking, and AI/ML organizations to make high-impact architectural and investment decisions.
- Provide technical leadership during critical incidents and ensure that lessons from incidents translate into durable engineering and organizational improvements.
- Develop reference architectures, shared platform capabilities, and automation frameworks that can be adopted across multiple engineering organizations.
- Influence, mentor, and raise the technical bar for senior engineers and technical leaders throughout the company.
BASIC QUALIFICATIONS
What we need to see:
- 15+ years of experience in Site Reliability Engineering, Platform Engineering, Distributed Systems, Cloud Architecture, or related infrastructure engineering roles.
- BS or MS degree in Computer Science or a related technical field involving significant software development, or equivalent experience.
- Demonstrated experience setting technical strategy and leading large-scale engineering initiatives across multiple teams or organizations.
- Deep expertise in distributed systems architecture, networking, Linux, Kubernetes, and public cloud platforms such as AWS, Azure, or GCP.
- Strong proficiency in one or more programming languages such as Python, Go, TypeScript, JavaScript, or Java, with experience building production-grade automation and platform software.
- Extensive experience with infrastructure-as-code and platform automation technologies such as Terraform, Crossplane, AWS CDK, AWS CloudFormation, or equivalent tools.
- Deep understanding of observability at scale, including OpenTelemetry and modern metrics, logging, tracing, profiling, and analytics platforms.
- Expertise in reliability engineering practices, including service-level objectives, error budgets, capacity planning, fault tolerance, disaster recovery, incident management, and blameless postmortems.
- A track record of delivering measurable improvements in availability, performance, operational efficiency, or engineering productivity within complex environments.
- Outstanding technical judgment, communication, and collaboration skills, with the ability to influence senior stakeholders across technical and organizational boundaries.
PREFERRED QUALIFICATIONS
Ways to stand out from the crowd:
- Experience designing or operating large-scale AI/ML platforms, GPU infrastructure, inference systems, training environments, or high-performance computing platforms.
- Hands-on experience building AI agents, agentic workflows, or intelligent automation for infrastructure and production operations.
- Demonstrated success establishing reliability architecture and engineering standards adopted across a large enterprise.
- Experience applying machine learning, analytics, or advanced automation to capacity management, anomaly detection, incident response, or autonomous remediation.
- Recognized technical leadership through patents, publications, open-source contributions, industry standards, conference presentations, or widely adopted internal platforms.
COMPENSATION
Your base salary will be determined based on your location, experience, and other objective job-related factors. The expected base salary range for this position is 248,000 USD – 396,750 USD. You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until November 10, 2026. This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
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Senior Level Principal SRE Jobs: Frequently Asked Questions
How do I get a senior level principal sre job?
Employers at this level look for engineers who have owned reliability outcomes across large-scale distributed systems, not just contributed to them. Candidates who stand out can point to concrete improvements in availability, latency, or incident response they personally drove. Deep expertise in observability, capacity planning, and incident command, combined with a demonstrated ability to mentor junior engineers and influence engineering culture, is what separates competitive applicants from the rest.
Which companies hire senior level principal sres?
Companies hiring senior level principal sres right now include NVIDIA, T-Mobile, and Vertafore, based on current listings on Migrate Mate as of November 2026. Hiring at this level tends to concentrate in organizations running complex, high-availability systems where reliability engineering has a direct impact on revenue and user trust.
Are there remote senior level principal sre jobs?
Yes, though availability varies by employer and team. About 75% of senior level principal sre openings are remote or hybrid as of November 2026, reflecting strong demand from technology and enterprise companies comfortable managing distributed senior engineering talent. On-site roles still exist, particularly at companies with regulated infrastructure or hardware-dependent environments.
What makes a principal sre role senior level?
Senior level principal sre roles are defined by scope and ownership rather than task execution. Engineers at this level set reliability standards for entire platforms or product lines, lead postmortem culture and incident response strategy, and are accountable for decisions that affect engineering teams beyond their own. Mentoring staff and senior engineers, contributing to hiring decisions, and shaping long-term infrastructure direction are all expected parts of the role.
Which industries hire the most senior level principal sres?
Senior Level principal sre roles concentrate in Technology & Software, Electronics & Hardware, and Manufacturing, based on current listings on Migrate Mate as of November 2026. These sectors tend to operate large-scale, availability-critical systems where the cost of downtime is high enough to justify investing in principal-level reliability engineering.