Apply for this opportunity

This job application is on an outside website. Be sure to review the job posting there to verify it's the same.

Apply Offsite

Sr Devsecops Engineer with Strong AI/ML Exp

Job

SSTech LLC

Addison, TX (In Person)

Full-Time

Posted 5 days ago (Updated 13 hours ago) • Actively hiring

Expires 7/23/2026

See Job Scorecard

Review key factors to help you decide if the role fits your goals.

How is this calculated?

Pay Growth

out of 5

Not enough data

Not enough info to score pay or growth

Job Security

out of 5

Not enough data

Calculating job security score...

Total Score

100

out of 100

Average of individual scores

Were these scores useful?

Skill Insights

Compare your current skills to what this opportunity needs—we'll show you what you already have and what could strengthen your application.

Job Description

Job title: Sr DevOps Engineer with

AI/ML Location:

Addison TX Key Responsibilities:

Provide on-call support (once per week rotation) to ensure production stability and timely incident response Offer weekend support on a rotational/on-request basis for critical issues and releases Monitor systems, investigate alerts, and troubleshoot production incidents Maintain and support CI/CD pipelines to ensure seamless and reliable deployments Manage and maintain cloud infrastructure on AWS and Azure Perform server administration tasks including patching, monitoring, and performance tuning Support and troubleshoot GitHub workflows, including branching strategies and PAT (Personal Access Tokens) Collaborate with development teams to improve deployment reliability and system performance Identify opportunities to improve operational processes, automation, and system reliability Leverage AI-assisted tools for faster incident diagnosis, log analysis, and root cause identification Contribute to adoption of AI/ML-driven DevOps practices (AIOps) to enhance monitoring, alerting, and predictive issue detection

Required Qualifications:

8+ years of experience in DevOps / Operations / Site Reliability Engineering roles. Strong working knowledge of AWS and Azure cloud services Hands-on experience with CI/CD pipelines (e.g., GitHub Actions, Jenkins, Azure DevOps, or similar) Solid understanding of GitHub branching strategies and access management (PAT tokens) Experience with Linux/Unix server administration Strong troubleshooting and incident management skills Familiarity with AI-powered developer tools (e.g., Copilot, chat-based ops tools, or automation assistants) Ability to participate in on-call and weekend support rotations

Soft Skills:

Strong communication and collaboration skills Ability to work in a fast-paced production environment Ownership mindset with a focus on reliability and continuous improvement Problem-solving attitude with attention to detail