We are seeking a dynamic and highly skilled AI Systems Engineer specializing in OpenClaw, Automation, and DevOps to drive innovation and efficiency within our cutting-edge AI infrastructure. In this role, you will be responsible for designing, deploying, and maintaining scalable AI systems that leverage cloud computing, containerization, and automation tools. Your expertise will ensure robust system performance, security, and seamless integration across diverse platforms. Join us to shape the future of intelligent automation and contribute to impactful AI solutions that empower our organization.
- Develop, implement, and optimize AI systems using OpenClaw frameworks to enhance robotic automation capabilities.
- Design and manage cloud infrastructure deployments utilizing platforms such as AWS, Google Cloud Platform, Azure, OpenStack, and VMware to ensure scalable and reliable operations.
- Automate system provisioning, configuration management, and deployment processes using tools like Ansible, Puppet, Chef, Terraform, Jenkins, and CI/CD pipelines.
- Maintain container orchestration environments with Kubernetes and Docker to support microservices architectures.
- Monitor system health and performance with tools such as New Relic, Splunk, Elasticsearch, and Log analysis to proactively troubleshoot issues.
- Implement security best practices including firewall management, identity & access management (IAM), cloud security protocols, disaster recovery plans, and incident response procedures.
- Collaborate with software development teams utilizing languages like JavaScript, Python, Go, Ruby on Rails, Groovy, C#, C++, Perl, Shell Scripting (Bash), PowerShell, and T-SQL for seamless integration of AI modules into enterprise software solutions.
- Conduct system testing, troubleshooting, incident management, release management, and incident recovery to ensure high availability and reliability of AI services.
- Gather requirements from stakeholders to develop scalable solutions aligned with SDLC (Software Development Life Cycle) standards while supporting Agile methodologies such as Scrum and Kanban.
- Proven experience in designing and deploying AI systems within cloud environments such as AWS, Google Cloud Platform or Azure.
- Strong proficiency with containerization (Docker), orchestration (Kubernetes), virtualization (VMware), and infrastructure as code tools like Terraform or Ansible.
- Extensive knowledge of enterprise software including WebSphere, WebLogic Server, JBoss, Tomcat, Microsoft SQL Server, MySQL/MariaDB databases; experience with SaaS applications is a plus.
- Familiarity with networking protocols such as TCP/IP, DNS, RESTful APIs, TCP connections; understanding of computer networking fundamentals is essential.
- Hands-on experience with monitoring tools like New Relic or Splunk for log analysis and system performance tracking.
- Skilled in scripting languages including Python, Bash (Unix shell), PowerShell; experience with Groovy or Ruby is advantageous.
- Knowledge of IT infrastructure components including Active Directory/Identity & Access Management systems; disaster recovery planning; incident response strategies.
- Ability to manage IT projects effectively using tools like Jira or TFS while adhering to SDLC best practices.
- Strong problem-solving skills with a focus on debugging complex issues in distributed systems or microservices architectures.
- Excellent communication skills for requirements gathering and technical support across cross-functional teams. Join us to be at the forefront of AI innovation! We are committed to fostering an energetic environment where your expertise can thrive while making a tangible impact through advanced automation solutions.
Pay: $50.00 per hour
Expected hours: 10.0 – 40.0 per week
Benefits:
Language:
Location:
- Austin, TX 78734 (Required)
Ability to Commute:
- Austin, TX 78734 (Required)
Work Location: Hybrid remote in Austin, TX 78734