Remote jobs in the United States

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Added 3 hours ago
Principal Machine Learning Engineer, Vision AI
Toast
Remote, United States
We're looking for a Principal Machine Learning Engineer, Vision AI to architect and build the platform behind these products. You'll have an outsized influence on how Vision AI is built and…
Added 4 hours ago
Principal Solutions Consultant
DataVisor
Remote, United States
Technical Discovery: Work closely with the Account Executive (AE) and Solution Architect (SA) to discover and understand the customer requirements regarding integrations, e.g. data sources…
Added 4 hours ago
Healthcare Data Solutions Architect
Ursa Health
Remote, United States
You have a deep understanding of health information systems, medical claims and/or billing data across payors and/or clinical data from your experience as a data architect and/or engineer.
Added 5 hours ago
Staff Site Reliability Engineer, AWS & Databases
OpenLoop Health
Remote, United States
- Cloud Architecture & Provisioning: Architect and manage AWS core services like EC2, VPC, S3, IAM, Lambda, and EKS or ECS to build high-availability systems, and support a smaller…
Added 6 hours ago
Forward Deployed Engineer (FDE) - GenAI / Agentic AI
Tiger Analytics Inc.
Remote, United States
We are seeking an experienced, client-facing Forward Deployed Engineer (FDE) with deep expertise in the Databricks Data Intelligence Platform to partner closely with enterprise clients and…
Added 6 hours ago
Software Engineer (AI Data Engineering)
EvolutionIQ
Remote, United States
About You: An ambitious Software Engineer using agentic workflows as a massive lever for engineering velocity. While you use modern AI tools to accelerate code generation, your core…
Added 8 hours ago
Forward Deployed Engineer (FDE) - GenAI / Agentic AI
Tiger Analytics Inc.
Remote, United States
We are seeking an experienced, client-facing Forward Deployed Engineer (FDE) with deep expertise in the Databricks Data Intelligence Platform to partner closely with enterprise clients and…
Added 8 hours ago
Software Engineer, Applied AI
Euronet Worldwide, Inc.
Remote, United States
epay, a business segment of Euronet Worldwide is hiring a Software Engineer, Applied AI to build and deploy AI agents, tools, and automations that improve how our teams work and help shape…
Added 8 hours ago
TR
Associate Cloud Engineer L1
The Redesign Group
Remote, United States
- $45,000 to $60,000 USD / year
The Associate Cloud Engineer keeps our clients' cloud environments healthy day to day. You will work inside the baselines and runbooks our senior engineers have set: working monitoring…
Added 8 hours ago
N
Staff DevOps Engineer
NBCUniversal
Remote, United States
- $130,000 to $160,000 USD / year
As the Staff DevOps Engineer, you will be responsible for leading our DevOps and platform engineering initiatives, fostering a culture of automation, continuous integration, observability,…
Added 8 hours ago
Backend Engineer
Books Are Fun & Collective Goods
Remote, United States
Architect backend solutions, potentially including data services, MCP servers, and one-off applications to support end-user AI interactions.
Added 9 hours ago
Cloud Engineer
Goldbelt, Inc.
Remote, United States
Goldbelt Nighthawk is hiring a Cloud Engineer to support a long-term contract in Mechanicsburg, PA. The selected candidate will provide support and mentorship in the engineering and…
Added 10 hours ago
V
Lead Data Engineer, Databricks (Remote, US)
V4C.ai
Remote, United States
- $120,000 to $140,000 USD / year
As a Lead Data Engineer, you will lead the build of production Lakehouse pipelines on customer engagements, working directly with customers and often Databricks' own field teams. Every…
Added 10 hours ago
V
Databricks Engineer (Remote, US)
V4C.ai
Remote, United States
- $100,000 to $120,000 USD / year
Databricks Engineers build the pipelines enterprise customers run their business on. You will work under a senior engineer or architect, taking a defined piece of an engagement and owning…
Added 11 hours ago
RL
AI Engineer
R3 LLC
Remote, United States
- $170,000 to $185,000 USD / year
R3 is seeking an AI Engineer to design, implement, secure, and drive adoption of enterprise AI solutions. This role will have a strong focus on Microsoft Copilot, Copilot Studio, Azure AI,…
Added 11 hours ago
Lead Data Engineer, Databricks (Remote, US)
V4C.ai
Remote, United States
As a Lead Data Engineer, you will lead the build of production Lakehouse pipelines on customer engagements, working directly with customers and often Databricks' own field teams. Every…
Added 11 hours ago
Databricks Engineer (Remote, US)
V4C.ai
Remote, United States
Databricks Engineers build the pipelines enterprise customers run their business on. You will work under a senior engineer or architect, taking a defined piece of an engagement and owning…
Added 11 hours ago
Enterprise Architect (Solutions Engineer), Identity
Workday, Inc.
Remote, United States
· 4+ years in a technical pre-sales, solutions engineering, or identity architect/engineer role, OR equivalent hands-on experience in IAM/IGA/AI.
Added 11 hours ago
Forward Deployed Engineer
NICE
Remote, United States
You'll architect and deliver production-ready conversational AI agents that sit at the core of the business and directly fuel company growth.
Added 12 hours ago
Lead Windows System Administrator (Remote Opportunity)
Mind Computing
Remote, United States
The candidate must reside within the continental US
Added 13 hours ago
Azure Application Developer
QHR Health, LLC dba Ovation Healthcare
Remote, United States
Ovation Healthcare is hiring a senior engineer to own the design, build and support of cloud-native applications and data pipelines that power our Revenue Cycle Management (RCM) operations.…
Added 13 hours ago
Senior Cloud Engineer
Earnest
Remote, United States
The Senior Cloud Engineer will report to the Engineering Manager, Infrastructure.
Added 13 hours ago
Manager, Solutions Engineering | West Coast | Remote
Grafana Labs
Remote, United States
5+ years in the high tech industry having held roles such as Developer, Sales Engineer/Architect, Manager, etc.
Added 14 hours ago
Staff Software Engineer
Guild Mortgage
Remote, United States
The Staff Engineer is a senior individual contributor within Guild’s IT Factory, the team that builds shared engineering tools, software components, and platform capabilities used by…
Added 14 hours ago
Cloud Engineer
Peraton
Remote, United States
Cloud platform certification, e.g., Microsoft Certified: Azure Solutions Architect Expert or Azure Administrator Associate, AWS Certified Solutions Architect (Associate/Professional), or…

NBCUniversal

Staff DevOps Engineer

Remote, United States

$130,000 to $160,000 USD / year

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Job details

Pay: $130,000 to $160,000 USD / year
Posting language: English
Posted: Nov 13, 2026

Original job description

Company Description NBCUniversal is one of the world's leading media and entertainment companies. We create world-class content, which we distribute across our portfolio of film, television, and streaming, and bring to life through our global theme park destinations, consumer products, and experiences. We own and operate leading entertainment and news brands, including NBC, NBC News, NBC Sports, Telemundo, NBC Local Stations, Bravo, and Peacock, our premium ad-supported streaming service. We produce and distribute premier filmed entertainment and programming through our powerhouse film and television studios, including Universal Pictures, DreamWorks Animation, and Focus Features, and the four global television studios under the Universal Studio Group banner, and operate industry-leading theme parks and experiences around the world through Universal Destinations & Experiences, including Universal Orlando Resort, home to Universal Epic Universe, and Universal Studios Hollywood. NBCUniversal is a subsidiary of Comcast Corporation. Visit www.nbcuniversal.com for more information. Our impact is rooted in improving the communities where our employees, customers, and audiences live and work. We have a rich tradition of giving back and ensuring our employees have the opportunity to serve their communities. We champion an inclusive culture and strive to attract and develop a talented workforce to create and deliver a wide range of content reflecting our world.

Job Description

As the Staff DevOps Engineer, you will be responsible for leading our DevOps and platform engineering initiatives, fostering a culture of automation, continuous integration, observability, reliability, and delivery. Your efforts will support consumer data-driven advertising and marketing products, standardized consumer identity solutions, machine learning platforms, and emerging AI-powered applications across NBCUniversal and its brands. You will partner with engineering, data, security, and AI teams to design and operate scalable cloud platforms that enable application development, analytics, machine learning, and AI workloads. Your expertise in AWS services, Infrastructure as Code, container orchestration, observability, platform automation, and cloud architecture will be critical in building secure, resilient, and cost-effective environments that accelerate innovation while maintaining enterprise governance and operational excellence. You will operate in an individual contributor capacity, but as a Staff Engineer, you will lead and mentor more junior DevOps Engineers, fostering a culture of innovation, continuous improvement, operational excellence, and platform-first thinking.

Responsibilities:

Develop and lead the implementation of DevOps, Platform Engineering, and Site Reliability Engineering (SRE) practices to improve the efficiency, scalability, reliability, and security of cloud-based applications and services.
Design, build, and maintain robust CI/CD pipelines that automate software delivery, infrastructure deployment, platform provisioning, and operational workflows.
Architect, deploy, and manage scalable AWS cloud infrastructure supporting applications, data, machine learning, and AI workloads.
Implement and manage containerization and orchestration platforms (Docker, Kubernetes, EKS) to ensure consistent, secure, and resilient environments across development, testing, and production.
Establish and maintain Infrastructure as Code (Terraform, CloudFormation) and Git Ops practices to improve platform consistency, governance, and operational efficiency.
Build and support ML Ops and AI platform capabilities, including model deployment automation, inference platform operations, AI workflow orchestration, secure API integration, and lifecycle management for AI-enabled services.
Enable secure integration of AI platforms, LLM-based applications, vector databases, agent frameworks, and machine learning services while ensuring compliance with enterprise security and governance standards.
Develop observability solutions using logging, monitoring, tracing, and operational analytics platforms to proactively detect performance issues, infrastructure anomalies, security risks, and AI workload health concerns.
Design scalable cloud architectures that support high availability, disaster recovery, cost optimization, and AI workload scalability.
Partner with Security, Data, and Architecture teams to implement cloud security controls, identity and access management, secrets management, and compliance requirements across traditional and AI-enabled platforms.
Drive automation of infrastructure operations, environment provisioning, platform governance, and operational processes to reduce manual effort and improve developer productivity.
Maintain comprehensive documentation, operational runbooks, architecture standards, and platform governance processes

Qualifications

Bachelor's degree in Computer Science, Software Engineering, Information Systems, or a related field, or equivalent professional experience.
6+ years of experience in DevOps, Platform Engineering, Cloud Engineering, or Site Reliability Engineering, including experience operating at a senior or technical leadership level.
Strong hands-on experience with Terraform and Infrastructure as Code, including building, deploying, and maintaining cloud infrastructure at scale.
Deep experience with AWS and core cloud services such as EC2, EKS, ECS, S3, RDS, DynamoDB, Lambda, IAM, CloudWatch, and VPC networking.
Strong experience with containerization and container orchestration technologies, including Kubernetes, EKS/ECS, and Docker.
Experience designing, building, and maintaining CI/CD pipelines using technologies such as Jenkins, GitHub Actions, GitLab CI/CD, AWS CodePipeline, or similar tools.
Experience supporting high-traffic, high-throughput consumer-facing applications or platforms, with demonstrated knowledge of scalability, performance, availability, and production reliability.
Experience implementing observability and monitoring using tools such as Datadog, Splunk, ELK, Prometheus, Grafana, OpenTelemetry, or CloudWatch.
Strong understanding of cloud security practices, including IAM, secrets management, networking, and secure infrastructure design.
Experience designing scalable platform architectures that balance reliability, performance, governance, and cost optimization.
Ability to provide technical leadership and mentorship to engineers while remaining a hands-on individual contributor.
Excellent communication and collaboration skills with the ability to work across engineering, data, security, and architecture teams.

Desired / Preferred Qualifications

Experience supporting large-scale, high-volume platforms processing 5,000+ transactions per second (TPS).
Experience supporting high-visibility live or tentpole events where traffic can increase significantly and platform availability is business-critical.
Experience working in multi-cloud environments, particularly Microsoft Azure in addition to AWS.
Experience with data pipeline orchestration and supporting data-intensive platforms.
Experience deploying or operating Model Context Protocol (MCP) servers or similar technologies.
Familiarity with agentic AI architectures, agent workflows, AI skills, and AI-enabled application infrastructure.
Experience supporting LLM-based applications, AI/ML workloads, model-serving infrastructure, inference services, or related AI platform capabilities.
Familiarity with AI platform security, governance, operational monitoring, and secure API integrations.

This position is eligible for company sponsored benefits, including medical, dental and vision insurance, 401(k), paid leave, tuition reimbursement, and a variety of other discounts and perks. Learn more about the benefits offered by NBCUniversal by visiting the Benefits page of the Careers website. Salary range: $130,000 - $160,000 (bonus eligible) Additional Information As part of our selection process, external candidates may be required to attend an in-person interview with an NBCUniversal employee at one of our locations prior to a hiring decision. NBCUniversal's policy is to provide equal employment opportunities to all applicants and employees without regard to race, color, religion, creed, gender, gender identity or expression, age, national origin or ancestry, citizenship, disability, sexual orientation, marital status, pregnancy, veteran status, membership in the uniformed services, genetic information, or any other basis protected by applicable law. If you are a qualified individual with a disability or a disabled veteran, you have the right to request a reasonable accommodation if you are unable or limited in your ability to use or access nbcunicareers.com as a result of your disability. You can request reasonable accommodations by emailing AccessibilitySupport@nbcuni.com. For LA County and City Residents Only: NBCUniversal will consider for employment qualified applicants with criminal histories, or arrest or conviction records, in a manner consistent with relevant legal requirements, including the City of Los Angeles' Fair Chance Initiative For Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, where applicable.

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More about this job

Skills

CI/CD
AWS
Infrastructure as code
Process improvement
Docker
Kubernetes
IBM Terraform
Git
ML
Workflow
Security threats
Implement ICT recovery system
Identity and access management
Regulatory compliance
Documentation
Architecture regulations
Computer science
DevOps
Leadership
Amazon DynamoDB
Jenkins
GitHub
GitLab
Datadog
Splunk
Prometheus
Grafana
Communication skills
Collaboration
Microsoft Azure
Monitor operations in the leather industry

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Work requirements

Remote jobs in the United States