We are looking for DevOps Engineer with MLOps for our client in Austin, TX
Job Title: DevOps Engineer with MLOps
Job Location: Austin, TX
Job Type: Contract
Pay Range: $56.92hr - $60.09hr
Job Overview:
Design, build, and own DevOps platforms and applications that leverage AI/ML to improve developer productivity, reliability, and security.
Responsibilities:
- 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 features for CI/CD, observability, and incident management, including intelligent alerting, anomaly detection, and automated remediation workflows.
- Lead and contribute to the development of automation scripts, tools, and services using Python (preferred) and other languages (TypeScript/JavaScript, Bash, Groovy) to integrate with REST and AI APIs.
- Collaborate with cross-functional teams (software engineering, SRE, security, data, and platform teams) to define requirements, design scalable solutions, and drive adoption of DevOps and AI/ML best practices.
- Implement and optimize CI/CD pipelines using systems such as GitHub Actions, Jenkins, Kubernetes, and Docker to ensure high reliability, security, and velocity of software delivery.
- Use AI-driven observability and chatops to troubleshoot and resolve production issues, improve mean time to detection (MTTD) and mean time to resolution (MTTR), and enhance system resilience.
- Champion and operationalize AI copilots, chatops, and knowledge-automation tools across teams to streamline workflows, reduce manual toil, and improve developer experience.
- Establish and enforce standards for source control, code review, and policy-as-code (e.g., trunk-based development, code ownership, and automated quality/security gates).
- Contribute to technical design reviews, documentation, and continuous improvement of DevOps and AI/ML-enabled platform capabilities.
Preferred Experience:
- Hands-on experience with modern DevOps tooling and practices, including CI/CD platforms such as GitHub Actions and Jenkins, as well as containerization and orchestration with Docker and Kubernetes.
- Practical experience applying AI in DevOps, such as LLM-powered PR summarization, test generation, issue triage, anomaly detection on logs and metrics, or chatops for incident response and operational support.
- Strong scripting and automation skills with proficiency in Python, experience in TypeScript/JavaScript, Bash, or Groovy, and the 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, alongside familiarity with trunk-based development, codeowners, and policy-as-code enforcement.
- Experience with relational databases and SQL, including an understanding of database concepts, schema design, and performance considerations.
- Knowledge of computer hardware components and experience installing, configuring, and troubleshooting hardware and software issues.
- Demonstrated ability to work effectively in a fast-paced, collaborative engineering environment, supported by strong verbal and written communication skills and interpersonal abilities.
Academic Credentials:
- Bachelor s or Master s degree in Computer Science, Computer Engineering, Electrical Engineering, or equivalent.
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Benefits
Our Benefits Include:
- Medical, Dental, and Vision Insurance
- 401(k) Retirement Plan
- Health Savings Account (HSA)
- Disability Insurance (Short-Term and Long-Term)
- Life and AD&D Insurance
- Paid Sick Leave (where required by applicable state or local law)
- Supplemental Insurance Plans
- Identity Theft Protection
- Pet Insurance
- Employee Wellness Programs
- Employee Assistance Program (EAP)
- Career Growth and Professional Development Opportunities
Disclaimer: Benefits eligibility, accrual rates, and usage limits may vary based on employment status, length of service, and work location. Paid Sick Leave is provided in strict accordance with applicable state and municipal mandates. Cynet Systems Inc. reserves the right to modify, amend, or terminate any benefit plans at any time in accordance with applicable laws.
About Cynet Systems
Founded in 2010 and headquartered in the Washington, DC metro area, Cynet Systems Inc. is a leading technology staffing and workforce solutions company serving Fortune 500 companies, government agencies, and enterprise organizations across the United States and Canada. We deliver agile, scalable talent solutions across IT, engineering, life sciences, clinical, and professional staffing, powered by a high-performing recruitment engine operating across North America and Asia.
As a nationally and locally certified Minority Business Enterprise (MBE), Cynet Systems is committed to helping organizations build high-performing teams while empowering professionals to grow rewarding careers. Our organization is certified to ISO 9001, ISO 14001, ISO 27001, and SOC 2 Type II standards, reflecting our commitment to quality, security, operational excellence, and customer success.
