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DevOps Engineer with MLOps
CYNET SYSTEMS · Austin, Texas · Posted today
About the role
Design and maintain DevOps platforms using AI/ML to improve productivity and reliability.
Salary: $118,393.6 - 124,987.2 per year Requirements: Hands-on experience with modern DevOps tools and practices, including CI/CD platforms such as GitHub Actions and Jenkins, and containerization and orchestration with Docker and Kubernetes. Practical experience applying AI in DevOps, such as using LLMs for pull request summaries or test generation, triaging issues, detecting anomalies in logs and metrics, or supporting incident response through chatops. Strong scripting and automation skills, with Python proficiency preferred and experience with TypeScript/JavaScript, Bash, or Groovy; ability to build small- to medium-scale automations and integrate with REST and AI APIs. Solid understanding of source control and code review workflows, including GitHub, GitLab, Bitbucket, or Gerrit, and familiarity with trunk-based development, code ownership, and policy-as-code enforcement. Experience with relational databases and SQL, including database concepts, schema design, and performance considerations. Knowledge of computer hardware components and experience installing, configuring, and troubleshooting hardware and software. Ability to work effectively in a fast-paced, collaborative engineering environment, with strong verbal and written communication and interpersonal skills. Bachelors or masters degree in Computer Science, Computer Engineering, Electrical Engineering, or equivalent. Responsibilities: Design, build, and own DevOps platforms and applications that use AI/ML to improve developer productivity, reliability, and security. Architect, implement, and maintain solutions using modern DevOps, MLOps, and AIOps tools and practices, including LLMs, vector search, and AI-assisted automation. Develop and enhance AI-powered capabilities for CI/CD, observability, and incident management, including intelligent alerting, anomaly detection, and automated remediation. Lead and contribute to automation scripts, tools, and services using Python and other languages, integrating with REST and AI APIs. Collaborate with software engineering, SRE, security, data, and platform teams to define requirements, design scalable solutions, and promote DevOps and AI/ML best practices. Implement and optimize CI/CD pipelines with systems such as GitHub Actions, Jenkins, Kubernetes, and Docker to support reliable, secure, and efficient software delivery. Apply AI-driven observability and chatops to troubleshoot production issues, improve detection and resolution times, and strengthen system resilience. Promote and operationalize AI copilots, chatops, and knowledge-automation tools to streamline workflows, reduce manual effort, and improve developer experience. Establish and uphold source control, code review, and policy-as-code standards, including trunk-based development, code ownership, and automated quality and security gates. Participate in technical design reviews, create documentation, and continuously improve DevOps and AI/ML-enabled platform capabilities. Technologies: AI Architect Bash BitBucket CI/CD DevOps Docker GitHub GitLab Groovy Hardware Incident Management Support JavaScript Jenkins Kubernetes MLOps Python REST SQL Security TypeScript LLM More: We offer a pay range of $56.92–$60.09 per hour. Our benefits include medical, dental, and vision insurance; a 401(k) retirement plan; a health savings account; short- and long-term disability insurance; life and AD&D insurance; paid sick leave where required by law; supplemental insurance options; identity theft protection; pet insurance; wellness programs; an employee assistance program; and career growth and professional development opportunities. Benefit eligibility, accrual, and usage may vary based on employment status, length of service, and work location. Paid sick leave follows applicable state and local requirements, and benefit plans may be changed in accordance with applicable laws. Founded in 2010 and headquartered in the Washington, DC metro area, we are a technology staffing and workforce solutions company serving Fortune 500 companies, government agencies, and enterprise organizations across the United States and Canada. We provide talent solutions across IT, engineering, life sciences, clinical, and professional staffing, supported by recruiting operations in North America and Asia. As a nationally and locally certified Minority Business Enterprise, we help organizations build teams and support professionals in developing their careers. Our certifications include ISO 9001, ISO 14001, ISO 27001, and SOC 2 Type II. last updated 41 week of 2026
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FAQ
Is the DevOps Engineer with MLOps role at CYNET SYSTEMS remote?+
This DevOps Engineer with MLOps position is listed as onsite (Austin, Texas).
What is the salary for the DevOps Engineer with MLOps role at CYNET SYSTEMS?+
The listing states 118393.6 - 124987.2 USD / year.
What seniority level is this DevOps Engineer with MLOps role?+
This is a mid level position.
How do I apply for the DevOps Engineer with MLOps role at CYNET SYSTEMS?+
Use the "Apply on devitjobs" button to open the original posting on devitjobs, where you can submit your application directly to CYNET SYSTEMS.