Remote jobs in the United States

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Added 1 hour ago
Senior Forward Deployed Engineer
Raydar
Remote, United States
- Strong coding ability in Python and TypeScript, plus practical familiarity with data engineering and cloud environments.
Added 3 hours ago
Forward Deployed Engineer
True Talent Solutions Partners
Remote, United States
- Integration and scripting experience with Python, JavaScript or TypeScript, SQL, REST APIs, JSON, and webhooks.
Added 3 hours ago
TT
Research Crawling Engineer
True Talent Solutions Partners
Remote, United States
- $160,000 to $250,000 USD / year
- Strong programming skills in Go, Rust, Python, Java, or C++.
Added 3 hours ago
Senior Machine Learning Engineer
Canopy
Remote, United States
As a Senior Machine Learning Engineer within the AI Squad at Canopy and reporting to the Director of AI Engineering, you’ll contribute to the development of cutting-edge AI solutions to…
Added 4 hours ago
Senior AI Engineer
TSGUS HCG LLC
Remote, United States
Senior AI Engineer, Agentic Solutions & Workflows
Added 4 hours ago
Forward Deployed Engineer
Clera
Remote, United States
- Python or SQL skills sufficient to prototype solutions with customers.
Added 4 hours ago
Agent Engineer
Clera
Remote, United States
- Build and improve Python agent infrastructure, including execution loops, orchestration, context management, structured outputs, retries, and recovery.
Added 5 hours ago
Senior MLOps Engineer
C the Signs
Remote, United States
We’re hiring a Senior MLOps Engineer with deep machine learning engineering experience to build and operate the production platform powering ML/LLM-driven healthcare workflows. You’ll…
Added 5 hours ago
AI Data Engineer
C the Signs
Remote, United States
The Data Engineer will play a crucial role in developing and fine-tuning data specifically for our LLMs and machine learning models. This individual will be responsible for the entire data…
Added 5 hours ago
Senior Machine Learning Engineer
C the Signs
Remote, United States
The Machine Learning Engineer will be responsible for the end-to-end development and deployment of Large language and machine learning models, with a primary focus on data preprocessing,…
Added 5 hours ago
AI Data Engineer
C the Signs
Remote, United States
The Data Engineer will play a crucial role in developing and fine-tuning data specifically for our LLMs and machine learning models. This individual will be responsible for the entire data…
Added 5 hours ago
AI Data Engineer
C the Signs
Remote, United States
The Data Engineer will play a crucial role in developing and fine-tuning data specifically for our LLMs and machine learning models. This individual will be responsible for the entire data…
Added 5 hours ago
AI Data Engineer
C the Signs
Remote, United States
The Data Engineer will play a crucial role in developing and fine-tuning data specifically for our LLMs and machine learning models. This individual will be responsible for the entire data…
Added 5 hours ago
AI Data Engineer
C the Signs
Remote, United States
The Data Engineer will play a crucial role in developing and fine-tuning data specifically for our LLMs and machine learning models. This individual will be responsible for the entire data…
Added 5 hours ago
AI Data Engineer
C the Signs
Remote, United States
The Data Engineer will play a crucial role in developing and fine-tuning data specifically for our LLMs and machine learning models. This individual will be responsible for the entire data…
Added 5 hours ago
Senior Machine Learning Engineer
C the Signs
Remote, United States
The Machine Learning Engineer will be responsible for the end-to-end development and deployment of Large language and machine learning models, with a primary focus on data preprocessing,…
Added 5 hours ago
Senior Machine Learning Engineer
C the Signs
Remote, United States
The Machine Learning Engineer will be responsible for the end-to-end development and deployment of Large language and machine learning models, with a primary focus on data preprocessing,…
Added 5 hours ago
Senior Machine Learning Engineer
C the Signs
Remote, United States
The Machine Learning Engineer will be responsible for the end-to-end development and deployment of Large language and machine learning models, with a primary focus on data preprocessing,…
Added 5 hours ago
Senior Machine Learning Engineer
C the Signs
Remote, United States
The Machine Learning Engineer will be responsible for the end-to-end development and deployment of Large language and machine learning models, with a primary focus on data preprocessing,…
Added 5 hours ago
Applied AI Engineer (Python/AI)
Brightplan
Remote, United States
This role is ideal for an engineer who enjoys the practical application of generative AI in production environments and works closely with product managers and engineers to translate ideas…
Added 5 hours ago
Senior Applied AI Engineer (Enterprise AI / Python)
Brightplan
Remote, United States
We are looking for a Senior Applied AI Engineer to help design, build, and scale the systems that power AI across the BrightPlan platform. This role will play an important part in shaping…
Added 6 hours ago
Quality Assurance Engineer
Braven
Remote, United States
…over the next decade, Braven is hiring a Quality Assurance Engineer who will ensure our student- and staff-facing software is reliable, accessible, and a joy to…
Added 6 hours ago
Senior Software Engineer
Braven
Remote, United States
…Fellows over the next decade, Braven is hiring a Senior Software Engineer to lead the design and delivery of the platform, tools, and automation that power Braven’s programs. On the Systems…
Added 6 hours ago
Senior Software Engineer
Braven
Remote, United States
…Fellows over the next decade, Braven is hiring a Senior Software Engineer to lead the design and delivery of the platform, tools, and automation that power Braven’s programs. On the Systems…
Added 6 hours ago
BN
Applied AI/ML Engineer
Boundless Networks, Inc.
Remote, United States
- $175,000 to $250,000 USD / year
Boundless is coordinating GPU compute at scale and building toward becoming a leader in AI. As an Applied AI/ML Engineer, you'll ship AI-powered products end-to-end on top of our growing…

Carrier Corporation

Staff Site Reliability Engineer

Remote, United States

$96,000 to $192,000 USD / year

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Job details

Pay: $96,000 to $192,000 USD / year
Apply by: Dec 4, 2026
Posting language: English
Posted: Nov 5, 2026

Original job description

About Carrier Carrier Global Corporation, global leader in intelligent climate and energy solutions, is committed to creating innovations that bring comfort, safety and sustainability to life. Through cutting-edge advancements in climate solutions such as temperature control, air quality and transportation, we improve lives, empower critical industries and ensure safe transport of food, lifesaving medicines and more. Since inventing modern air conditioning in 1902, we lead with purpose: enhancing the lives we live and the world we share. We continue to lead because of our world-class, inclusive workforce that puts the customer at the center of everything we do. For more information, visit corporate.carrier.com or follow on Carrier social media at @Carrier.

About the Role Carrier's Building Automation Systems (BAS) Cloud organization is seeking a highly skilled Senior Site Reliability Engineer (SRE) to help build, scale, and continuously improve our cloud-native SaaS platform. This role combines software engineering, cloud infrastructure, platform engineering, observability, automation, and operational excellence to ensure world-class reliability, security, and performance for business-critical customer solutions. As a Senior SRE, you will play a key role in defining reliability standards, building self-service platform capabilities, driving automation, and enabling engineering teams to operate highly available services at scale. You will partner closely with software engineering, architecture, cybersecurity, DevOps, cloud operations, and product teams to improve system resilience, accelerate delivery, and reduce operational toil. This is an opportunity to influence the technical direction of a rapidly evolving cloud platform while helping establish engineering best practices across a global organization.

What You'll Do Platform Engineering & Reliability

Design, implement, and maintain highly available, scalable, and secure cloud infrastructure supporting Carrier's SaaS platforms.
Define and drive Service Level Objectives (SLOs), Service Level Indicators (SLIs), and Service Level Agreements (SLAs) across critical services.
Build self-service platform capabilities that enable development teams to deploy and operate services efficiently and consistently.
Develop reliability frameworks, standards, and operational best practices that improve platform resiliency and customer experience.
Identify reliability bottlenecks and architect solutions to eliminate single points of failure.

Automation & Infrastructure as Code

Develop automation solutions that eliminate repetitive operational tasks and reduce manual intervention.
Design and maintain Infrastructure as Code (IaC) using Terraform, AWS CloudFormation, AWS CDK, or similar technologies.
Build and enhance CI/CD pipelines to improve deployment velocity, consistency, and security.
Implement automated remediation, self-healing capabilities, and operational workflows.

Observability & Incident Response

Design and enhance modern observability solutions using metrics, logs, traces, and distributed monitoring technologies.
Develop dashboards, monitoring standards, alerting frameworks, and reliability reporting mechanisms.
Lead incident response efforts for critical production events, including root cause analysis and long-term corrective actions.
Drive post-incident reviews focused on systemic improvements rather than individual fault.

Cloud Operations & Resilience

Improve platform performance, availability, scalability, disaster recovery, and business continuity capabilities.
Validate backup, restoration, and recovery processes through regular testing and continuous improvement efforts.
Collaborate with engineering teams to implement resilient architectures capable of meeting defined reliability and compliance objectives.
Support operational readiness reviews for new services and platform capabilities.

Engineering Excellence & Leadership

Mentor engineers and provide technical leadership in reliability engineering practices.
Partner with development teams to improve application reliability throughout the software development lifecycle.
Establish and promote a culture of automation, ownership, continuous learning, and operational excellence.
Stay current on emerging technologies and industry best practices within cloud infrastructure, platform engineering, AI-assisted operations, and Site Reliability Engineering.

On-Call & Operational Excellence

Participate in a shared on-call rotation supporting production environments.
Drive initiatives focused on reducing operational toil through automation, self-healing systems, and platform improvements.
Continuously improve incident response processes and platform reliability practices.

Required Qualifications

Bachelor's degree in Computer Science, Software Engineering, Information Technology, or a technical field with 7+ years of experience in Site Reliability Engineering, Platform Engineering, DevOps, or Cloud Engineering -OR- Master’s degree in Computer Science, Software Engineering, Information Technology, or a technical field with 5+ years of experience in Site Reliability Engineering, Platform Engineering, DevOps, or Cloud Engineering.
3+ years of hands-on experience designing and supporting large-scale cloud environments.
3+ years of experience with Infrastructure as Code (such as Terraform, CloudFormation, AWS CDK).
3+ years of experience building and maintaining CI/CD pipelines and deployment automation.
3+ years of extensive experience with Amazon Web Services (AWS), including services such as EKS, EC2, VPC, RDS, Lambda, CloudWatch, and IAM.
3+ years of experience implementing observability platforms utilizing technologies such as Prometheus, Grafana, Open Telemetry, Datadog, Splunk, or New Relic.

Preferred Qualifications

Strong understanding of modern SRE principles, including reliability engineering, observability, toil reduction, incident management, and error budgets.
Strong scripting or programming experience using Python, Go, PowerShell, Bash, or similar languages.
Strong knowledge of networking, security, systems architecture, and distributed systems concepts.
Proven experience leading production incident response and root cause analysis activities.
Proven experience with cloud-native platforms and container technologies, including Kubernetes and Docker.
Experience operating SaaS platforms serving large-scale customer environments.
Experience supporting compliance frameworks such as SOC 2, ISO 27001, NIST, or similar standards.
Experience implementing AI-assisted engineering solutions to improve operational efficiency, troubleshooting, automation, and service reliability.
Knowledge of platform engineering concepts including Internal Developer Platforms (IDP), developer self-service capabilities, and engineering enablement practices.
AWS certifications or other cloud certifications.
Excellent communication, leadership, and collaboration skills.

Pay Range The annual salary for this position is between $96,000.00 - $192,000.00 annually. Factors which may affect pay within this range include, but are not limited to, skills, education, experience, and other unique qualifications of the successful candidate. The pay range will not be below the minimum wage applicable to the jurisdiction in which the applicant is to be employed. Other Compensation This position is entitled to short-term cash incentives, subject to plan requirements.

Benefits

Employees are eligible for benefits, including:

Health Care Benefits: Medical, Dental, Vision; Wellness incentives
Retirement Benefits
Time off and Leave: Paid vacation days, up to 15 days; paid sick days, up to 5 days; paid personal leave, up to 5 days; paid holidays, up to 13 days; birth and adoption leave; parental leave; family and medical leave; bereavement leave; jury duty leave; military leave; purchased vacation
Disability: Short-term and long-term disability
Life Insurance and Accidental Death and Dismemberment
Tax-Advantaged Accounts: Health Savings Account; Health Care Spending Account; Dependent Care Spending Account
Tuition Assistance

To learn more about our benefits offering, please click here Work with us | Carrier Corporate. The specific benefits available to any employee may vary depending on state and local laws and eligibility factors, such as date of hire and the applicability of collective bargaining agreements.

Carrier EEO Statement and Accommodations Process Carrier is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or veteran status or any other applicable state or federal protected class. Carrier provides affirmative action in employment for qualified individuals with a Disability and Protected Veterans in compliance with section 503 of Rehabilitation Act and the Vietnam Era Veterans' Readjustment Assistance Act.

If you require a reasonable accommodation to complete the application process, participate in an interview, or otherwise engage in the hiring process, please contact us at Carrier.Recruiting@carrier.com. We will make every effort to meet your needs in accordance with applicable laws.

Application Deadline Applications will be accepted for at least 3 days from Job Posting Date: 5 November 2026 Job Applicant's Privacy Notice Please click on the link to review the Job Applicant Privacy Notice.

Use of AI Technology-enabled tools may support parts of the recruitment process, with oversight by people.

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