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Site Reliability Engineer Devops Jobs (NOW HIRING)

SRE/DevOps Engineer - GenAI

Austin, TX · On-site

$56.50 - $75/hr

... DevOps / SRE roles supporting production systems • Hands-on expertise with AWS, including EKS • Solid experience with Docker, Kubernetes, and Helm • Experience building and maintaining CI/CD ...

Sr. SRE / DevOps Engineer

Sunnyvale, CA · On-site

$67 - $89/hr

Must have/required experience and skills: • 8+ years of experience on DevOps and Site Reliability Engineering. • Hands-on with containerization and orchestration: Docker, Kubernetes/EKS. • ...

In this hybrid role, you will bridge the gap between technical delivery teams and enterprise clients, ensuring seamless implementation, operation, and optimization of SRE/DevOps initiatives. You will ...

You will lead initiatives in incident response, deployment automation, observability, and capacity planning--leveraging modern DevOps/SRE methodologies, cloud-native technologies, and advanced ...

SRE Lead

Dallas, TX · On-site

$60 - $65/hr

Job Title: SRE Lead Location: Chicago IL Rate: $60-65/hr on C2C Duration: 6+ months We are seeking ... Relevant certifications (e.g., AWS Certified DevOps Engineer, Google Cloud Professional DevOps ...

SRE Engineer

Scottsdale, AZ · On-site

$57.50 - $76.25/hr

Job Role: SRE Engineer Job Location: Scottsdale AZ (100% onsite) Job Duration: Long Term Contract ... DevOps, or Platform Engineering. * Strong hands‑on experience with: Kubernetes (production scale ...

DevOps & Site Reliability Lead (SAP)

Deerfield, IL · On-site

$58 - $77/hr

Job Summary : ClifyX is seeking an experienced SAP Site Reliability Engineer to lead their DevOps and Site Reliability efforts. The role involves ensuring high availability and performance of ...

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Site Reliability Engineer Devops information

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How much do site reliability engineer devops jobs pay per hour?

As of Jul 18, 2026, the average hourly pay for site reliability engineer devops in the United States is $63.74, according to ZipRecruiter salary data. Most workers in this role earn between $54.81 and $72.84 per hour, depending on experience, location, and employer.

What is the difference between Site Reliability Engineer Devops vs Cloud Engineer?

AspectSite Reliability Engineer DevopsCloud Engineer
CredentialsCertifications like AWS, Azure, GCP, Linux, Docker, KubernetesCloud-specific certifications (AWS, Azure, GCP), Linux, scripting
Work EnvironmentOperations, development, and infrastructure teams; focus on system reliabilityCloud platform management, deployment, and architecture design
Industry UsageTech, finance, e-commerce, SaaS companiesTech, startups, enterprises adopting cloud solutions
Search & Comparison IntentUnderstanding roles in system reliability and automationFocus on cloud infrastructure and deployment strategies

While both roles involve cloud technologies and automation, Site Reliability Engineers Devops focus on maintaining system reliability, automation, and incident response. Cloud Engineers primarily design, deploy, and manage cloud infrastructure. Both roles often collaborate but serve different core functions within IT teams.

What engineer makes $500,000 a year?

A senior or lead Site Reliability Engineer (SRE) or DevOps engineer with extensive experience, specialized skills, and working at large tech companies can earn $500,000 or more annually. High compensation often includes base salary, bonuses, and stock options, especially in competitive markets or executive-level roles.

What are the key skills and qualifications needed to thrive as a Site Reliability Engineer (DevOps), and why are they important?

To thrive as a Site Reliability Engineer (DevOps), you need a strong background in systems administration, cloud infrastructure, automation, and scripting, often supported by a degree in computer science or a related field. Familiarity with tools like Kubernetes, Docker, Jenkins, Terraform, and monitoring platforms, as well as certifications such as AWS Certified DevOps Engineer or Google Professional SRE, is highly valued. Problem-solving, effective communication, and a proactive mindset are crucial soft skills for anticipating issues and collaborating across teams. These abilities are vital to ensure system reliability, scalability, and seamless deployment pipelines in dynamic production environments.

Can a DevOps engineer become SRE?

A Site Reliability Engineer (SRE) role often requires strong skills in systems engineering, automation, and monitoring, which are also core to DevOps engineering. Many DevOps engineers transition to SRE by gaining experience in reliability practices, coding, and incident management, often supported by certifications like Google Cloud SRE or related tools such as Kubernetes and Prometheus.

What is the salary of DevOps site reliability engineer?

The salary of a Site Reliability Engineer (SRE) with DevOps skills typically ranges from $90,000 to $150,000 annually, depending on experience, location, and company size. Senior roles or those with specialized skills in automation, cloud platforms, and monitoring tools may earn higher compensation.

What is a Site Reliability Engineer (DevOps)?

A Site Reliability Engineer (SRE) in DevOps is a professional who combines software engineering and IT operations expertise to ensure that systems are reliable, scalable, and efficient. SREs use automation, monitoring, and robust processes to maintain high service uptime and performance. They collaborate closely with development and operations teams to bridge the gap between software development and system administration. Their responsibilities may include incident response, capacity planning, infrastructure management, and continuous improvement of deployment pipelines.

Is DevOps dead due to AI?

As a Site Reliability Engineer or DevOps professional, AI is seen as a tool to enhance automation, monitoring, and incident response rather than replacing DevOps practices. DevOps remains essential for managing complex systems, and AI complements skills like scripting, cloud management, and continuous integration to improve efficiency.

How do Site Reliability Engineers (SREs) in DevOps typically collaborate with software development and IT operations teams?

Site Reliability Engineers in DevOps act as a bridge between software development and IT operations teams by ensuring that applications are reliable, scalable, and maintainable. They work closely with developers to implement automation, monitor system health, and resolve incidents, while also collaborating with operations to improve deployment pipelines and infrastructure management. Regular communication and joint problem-solving are essential, as SREs often participate in on-call rotations, incident reviews, and cross-functional meetings to drive continuous improvement. This collaborative approach helps organizations achieve faster releases and higher system uptime.
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SRE/DevOps Engineer - GenAI

SRE/DevOps Engineer - GenAI

Programmers.io

Austin, TX • On-site

$56.50 - $75/hr

Contractor

Re-posted 8 days ago


Job description

Job Description

Core SRE / DevOps Skills

•            Strong experience in DevOps / SRE roles supporting production systems

•            Hands-on expertise with AWS, including EKS

•            Solid experience with Docker, Kubernetes, and Helm

•            Experience building and maintaining CI/CD pipelines using Jenkins and GitHub

•            Working knowledge of GitOps practices

•            Experience with monitoring and observability tools such as Prometheus, Grafana, and Splunk

•            Strong understanding of Linux, TCP/IP, and cloud networking

•            Proficiency in Python for automation and scripting

•            Experience designing, deploying, and operating production-grade systems

GenAI for SRE / DevOps Automation

•            Strong hands-on experience using and orchestrating GenAI / LLM-based tools to automate SRE and DevOps workflows

•            Experience with GenAI platforms such as Anthropic etc.

•            Solid understanding of prompt engineering, model inference, embeddings, and vector stores

•            Experience integrating GenAI solutions with cloud, Kubernetes, and DevOps toolchains

•            Ability to support and operate GenAI workloads in AWS and Kubernetes environments