Jobs in the United States

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Added 2 mins ago
Fellow Software Engineer-Eng (Agentic AI Architecture & Engineering)
UKG
Jefferson City, MO
- Technical Proficiency: Expert-level skills in programming languages (e.g., Python, Java) and AI frameworks (e.g., TensorFlow, PyTorch). Strong understanding of cloud platforms (AWS,…
Added 7 mins ago
Delivery Consultant , WWPS ProServe
Amazon Web Services, Inc.
Arlington, VA · Denver, CO · Herndon, VA
…Delivery Consultant to join our team at Amazon Web Services (AWS). In this role, you'll work closely with customers to design, implement, and manage AWS solutions that meet their technical…
Added 7 mins ago
Software Development Engineer - III, AWS OpenSearch, New Initiative
Amazon Development Center U.S., Inc.
Santa Clara, CA
…want to have direct and immediate impact on a large number of AWS users? Do you want to be part of a fast-growing AWS service and work in a fast paced startup style…
Added 10 mins ago
T
Senior AI/ML Engineer
TEKsystems
New York, NY
- $119,800 to $179,800 USD / year
…ideal candidate should have proficiency in Amazon Web Service (AWS) and/or Google Cloud Platform (GCP) with a solid foundation in data engineering, Machine Learning and MLOps cloud-native…
Added 14 mins ago
Principal Site Reliability Engineer
NVIDIA USA
CA
…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…
Added 15 mins ago
Lead Java Developer
Experis USA
Albany, NY
The New York State Integrated Eligibility System (IES) Program is seeking a skilled and collaborative Java Developer to support the development of modernization of the New York State…
Added 15 mins ago
ConvergeProsperity - Product Forward Deployed Engineer, Insurance Growth Suite (Manager) - Products & Platforms
Deloitte
Saint Louis, MO
+ Deep expertise in Java and Spring Boot, including building production-grade microservices
Added 15 mins ago
ConvergeProsperity - Product Forward Deployed Engineer, Insurance Growth Suite (Manager) - Products & Platforms
Deloitte
Kansas City, MO
+ Deep expertise in Java and Spring Boot, including building production-grade microservices
Added 15 mins ago
O
Senior Software Developer - Healthcare Analytics & AI
Oracle
Jefferson City, MO
- $89,200 to $209,500 USD / year
- Strong software engineering skills in Python/Java.
Added 19 mins ago
QA Engineering Lead (Automation Testing)
St. George Tanaq Corporation
Jefferson City, MO
+ Proficiency with at least one automation programming language, such as Java, Python, JavaScript, TypeScript, or C#.
Added 19 mins ago
Full Stack Cloud Developer
St. George Tanaq Corporation
Jefferson City, MO
We are seeking a Full Stack Cloud Developer to support the Department of Housing and Urban Development's Office of the Chief Information Officer (HUD OCIO).
Added 20 mins ago
Senior Software Engineer
Fidelity Technology Group, LLC
Merrimack, NH
…Designs, develops, and maintains full-stack applications using Java/Spring MVC, Spring Core, Spring Boot, Angular, and Node.js. Implements interactive User Interface (UI) designs using…
Added 23 mins ago
SAP IS-U ABAP Developer Consultant - Resources/Utilities
Accenture LLP Company
NY
…partner and the #1 recognized integrator across Microsoft Azure, AWS, and Google Cloud. We invest continuously in our people through training and a global SAP community - join us to shape…
Added 23 mins ago
SAP IS-U ABAP Developer Manager - Resources/Utilities
Accenture LLP Company
NY
…partner and the #1 recognized integrator across Microsoft Azure, AWS, and Google Cloud. We invest continuously in our people through training and a global SAP community - join us to shape…
Added 25 mins ago
Sr. Application Architect
Daimler Truck Financial Services USA LLC
Charlotte, NC
Minimum of 6 years of firsthand development experience with Java 8+, J2EE, Spring/Spring Boot, JDBC, Hibernate, REST/SOAP APIs, and Tomcat.
Added 28 mins ago
UG
Senior Software Engineer
UnitedHealth Group
Eden Prairie, MN
- $91,700 to $163,700 USD / year
…cloud-native, resilient, and secure infrastructure across Azure, AWS, and GCP. You will lead cutting-edge initiatives focused on cloud governance, networking, security, and automation while…
Added 36 mins ago
System Engineer IV
Arcfield
McLean, VA
Cloud-based data platforms such as AWS, GCP, or Azure.
Added 36 mins ago
Systems Engineer Technical Specialist
Arcfield
McLean, VA
Cloud-based data platforms such as AWS, GCP, or Azure.
Added 38 mins ago
Senior Software Developer
The Huntington National Bank
Columbus, OH
The Senior Software Developer will provide technical leadership in solving highly complex data, hardware, software or process initiatives.
Added 40 mins ago
Full-stack Engineer 4
Capital One
Plano, TX
Utilize programming languages like Java, Scala, Python, Go, Node.js, JavaScript and TypeScript, Open Source RDBMS and NoSQL databases, Container Orchestration services including Docker and…
Added 40 mins ago
Data Engineer 5
Capital One
McLean, VA · Richmond, VA · NY · Wilmington, DE
At least 4 years of experience programming with at least one of the following languages: Python, Java, or Scala
Added 40 mins ago
AI Engineer 4 (AI Safety and Multimodal)
Capital One
San Jose, CA · McLean, VA · Cambridge, MA · NY
Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more.
Added 40 mins ago
Senior Director, AI Engineering -Agentic AI Platform(Remote Eligible)
Capital One
San Jose, CA · San Francisco, CA · McLean, VA · Cambridge, MA · NY
Make high judgment build-vs-buy decisions across a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more.
Added 41 mins ago
Sr. Software Engineer
The Home Depot
Remote, United States
Work with the Product Team to ensure user stories are valuable, developer ready, easy to understand, and testable.
Added 48 mins ago
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Principal Enterprise Architect - AI, Cloud & Modernization (Remote)
Cognizant
Jefferson City, MO
- $140,000 to $160,000 USD / year
+ Define and implement scalable solutions using AWS, GCP, Java, Spring Boot, microservices, and event-driven architectures.

NVIDIA USA

Principal Site Reliability Engineer

CA, United States

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Job details

Experience: 15+ years of experience in Site Reliability Engineering, Platform Engineering, Distributed Systems, Cloud Architecture, or related infrastructure engineering roles.
Posting language: English
Posted: Nov 5, 2026

Original job description

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.

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.

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.

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.

NVIDIA is leading groundbreaking developments in Artificial Intelligence, High-Performance Computing, and Visualization. The GPU, our invention, serves as the visual cortex of modern computers and is at the heart of our products and services. Our work creates new possibilities for exploration, creativity, and discovery, powering innovations that once belonged to science fiction - from artificial intelligence to autonomous vehicles. NVIDIA is looking for exceptional technical leaders like you to help architect the reliable platforms that will accelerate the next wave of artificial intelligence.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until November 9, 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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