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Developer Operations Site Reliability Engineer Engineer Jobs in Dallas, TX

Site Reliability Engineer

Southlake, TX ยท On-site

$53.75 - $71.25/hr

... DevOps, Systems Engineering, or Platform Engineering. โ€ข Strong programming skills in Python for ... Site Reliability Engineer - Nice-to-Have Skills: โ€ข Experience with Terraform, Ansible, or ...

SRE Engineer (Transformation)

Dallas, TX ยท On-site

$56.50 - $75/hr

Info Way Solutions is seeking a skilled SRE Engineer with transformation experience. The role ... DevOps, engineering, and product teams to embed reliability into the development lifecycle โ€ข ...

SRE Devops Architect

Plano, TX ยท On-site

$55 - $73/hr

Info Way Solutions is seeking an experienced SRE/DevOps Architect to design and implement scalable, reliable, and secure architecture solutions that support business growth and ensure system ...

SRE Engineer

Plano, TX ยท On-site

$54.50 - $72.50/hr

Azure DevOps (ADO), GitHub & GitHub Actions, JFrog Artifactory Site Reliability Engineer (SRE) - Will require end2end testing, performance testing, failover. - Overall understanding of the Infra and ...

DevOps Engineer

Addison, TX ยท Hybrid

$125K - $140K/yr

Qualified candidates will have a Bachelor's degree in Computer Science, Information Systems, or equivalent experience, along with at least 3 years of DevOps, Site Reliability Engineering, or related ...

Senior .NET Software Engineer / SRE

Arlington, TX ยท On-site

$51.25 - $68.25/hr

Additionally, there's no traditional on-call production monitoring / support, whereas the focus will be on design, architecture, automation, and enabling scalable DevOps / SRE practices for ...

DevOps/SRE - Advanced

Plano, TX ยท On-site

$60 - $65/hr

Role: SRE Duration: 6+ months Contract To Perm Location: Plano, TX (Fully onsite) Must haves: Cloud ... Hands-on practical experience in system design, application development, testing, and operational ...

DevOps Lead Engineer

Dallas, TX ยท On-site

$52.50 - $71.75/hr

We are seeking an experienced DevOps / Site Reliability Engineer to support the automation, reliability, and continuous delivery of our technology environments. The ideal candidate will have hands-on ...

Site Reliability Engineer (SRE) Location: Plano, TX / Pennington, NJ / Charlotte, NC Duration ... Partner with development and DevOps teams to embed reliability into delivery pipelines. Communicate ...

Site Reliability Engineer (SRE)

Plano, TX ยท On-site

$69 - $69.99/hr

Site Reliability Engineer (SRE) Location: Plano, TX / Pennington, NJ / Charlotte, NC Duration ... Partner with development and DevOps teams to embed reliability into delivery pipelines.

GCP Platform Engineer

Dallas, TX ยท On-site

$56.50 - $75/hr

... DevOps, SRE, or infrastructure engineering role, with meaningful hands-on experience in GCP specifically (or strong equivalent experience in another major cloud with GCP exposure). * Solid working ...

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Showing results 1-20

Developer Operations Site Reliability Engineer Engineer information

See Dallas, TX salary details

$10

$63

$90

How much do developer operations site reliability engineer engineer jobs pay per hour?

As of Sep 13, 2026, the average hourly pay for developer operations site reliability engineer engineer in Dallas, TX is $63.06, according to ZipRecruiter salary data. Most workers in this role earn between $54.23 and $72.07 per hour, depending on experience, location, and employer.

What cities near Dallas, TX are hiring for Developer Operations Site Reliability Engineer Engineer jobs?

Cities near Dallas, TX with the most Developer Operations Site Reliability Engineer Engineer job openings:

Site Reliability Engineering(SRE) - Remote

Dallas, TX โ€ข Remote

$30 - $80/hr

Full-time

Posted 18 days ago


Job description

Developer & Infrastructure Expert

Role Type: Contractor
Location: Remote

Job Overview

We are seeking experienced Developer & Infrastructure Experts to evaluate AI-powered workflows across software development, cloud infrastructure, DevOps, SRE, and platform engineering. You will test AI-generated commands, configurations, and workflows and provide practical feedback based on real-world engineering standards.

No prior AI experience is required—your technical expertise and infrastructure knowledge are what matter most.

Key Responsibilities
  • Test and validate AI-assisted workflows across DevOps, cloud, infrastructure, and platform engineering.
  • Evaluate AI-generated commands, configurations, scripts, and deployment workflows for accuracy and reliability.
  • Work with AWS, Azure, GCP, Kubernetes, Docker, Terraform, and CI/CD environments.
  • Review workflows involving GitHub, GitLab, Azure DevOps, and JIRA.
  • Assess AI agents and workplace connectors across tools such as Slack, Google Drive, and Microsoft 365.
  • Identify technical errors, security or reliability concerns, and workflow gaps.
  • Document findings and provide clear, actionable feedback.
  • Recommend improvements based on real-world engineering practices and industry standards.
  • Collaborate remotely with project stakeholders through written evaluations and virtual discussions.
Required Skills
  • Azure DevOps
  • Cloud Infrastructure
  • Site Reliability Engineering (SRE)
  • Platform Engineering
  • AWS / Azure / GCP
  • Kubernetes / Docker
  • Terraform
  • CI/CD
  • GitHub / GitLab / JIRA
  • Observability
  • ChatGPT Work
  • Claude Code
  • Claude Cowork
  • AI Agents
  • Workplace Connectors
Preferred Qualifications
  • Professional experience in software engineering, DevOps, SRE, cloud, platform, or infrastructure engineering.
  • Hands-on experience with major cloud platforms, Kubernetes, Docker, Terraform, CI/CD, and observability tools.
  • Experience with developer workflow and project management platforms such as GitHub, GitLab, Azure DevOps, and JIRA.
  • Experience using AI agents such as ChatGPT, Claude Code, Claude Cowork, or Codex in development or infrastructure workflows.
  • Strong ability to evaluate technical processes and provide actionable feedback.
  • Excellent written and verbal communication skills.
  • Experience with workplace connectors, automation, or AI-powered infrastructure workflows is a plus.