DevOps/SRE

Red Oak Technologies; Austin (TX); On-site; USD 110,000 - 170,000; Full time

Job summary

Red Oak Technologies is seeking an experienced Deployment & Integration engineer to collaborate with software teams to deploy and maintain applications, ensuring smooth integration within our infrastructure.

You will monitor data pipelines and system signals, respond to outages, automate deployments, and work with data engineers, security teams, and developers to keep systems robust, secure, and scalable.

Qualifications

• Proven experience deploying and managing enterprise software in cloud or hybrid environments.
• Proficient in Python and infrastructure automation tools.
• Experience with monitoring/alerting tools and data pipelines.
• Understanding of CI/CD pipelines and containerization (Docker, Kubernetes).
• Ability to troubleshoot complex system issues quickly and effectively.

Responsibilities

• Deployment & Integration: Collaborate with software teams to deploy and maintain existing applications and tools, ensuring smooth integration within our infrastructure.
• Monitoring & Signal Flow: Set up and manage monitoring solutions to track application health, data pipelines, and system signals.
• Incident Response & Troubleshooting: Quickly assess and respond to outages, identify root causes, and coordinate resolution.
• Automation & Optimization: Automate deployment processes, monitoring, and alerting to improve efficiency.
• Collaboration: Work with data engineers, security, and software developers to ensure robust, secure, and scalable applications.
• Documentation & Best Practices: Maintain documentation of deployment processes, system architecture, and incident protocols.

Skills

Collaboration

Communication

Troubleshooting

Security best practices

AI/ML infrastructure awareness

Tools

Python

Jenkins

Terraform

Ansible

DataDog

Nagios

Prometheus

Grafana

Docker

Kubernetes

Job description

Deployment & Integration: Collaborate with software teams to deploy and maintain existing applications and tools, ensuring smooth integration within our infrastructure.

Monitoring & Signal Flow: Set up and manage monitoring solutions to track application health, data pipelines, and system signals. Ensure real-time visibility into performance and operational metrics.

Incident Response & Troubleshooting: Quickly assess and respond to application outages or issues, identify root causes, and coordinate resolution efforts to minimize downtime.

Automation & Optimization: Automate deployment processes, monitoring, and alerting to improve efficiency and reduce manual intervention.

Collaboration: Work closely with data engineers, security teams, and software developers to ensure applications are robust, secure, and scalable.

Documentation & Best Practices: Maintain comprehensive documentation of deployment processes, system architecture, and incident protocols.

Qualifications

Proven experience in deploying and managing enterprise software applications in a cloud or hybrid environment.

Proficient in Python

Strong understanding of infrastructure automation tools (e.g., Jenkins, Terraform, Ansible, or similar).

Experience with monitoring and alerting tools (e.g., DataDog, Nagios, Prometheus, Grafana).

Familiarity with data pipelines, signal flow, and system architecture related to AI/ML applications.

Understanding of CI/CD pipelines and tools

Experience with Containerization (Docker, Kubernetes)

Skills in incident detection and response

Ability to troubleshoot complex system issues quickly and effectively.

Excellent collaboration and communication skills.

Knowledge of security best practices in deployment and system management.

Preferred Skills

Experience with AI/ML infrastructure or data platforms.

Familiarity with containerization and orchestration (Docker, Kubernetes).

Understanding of network protocols and security.