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Senior DevOps Engineer
Self Financial · Austin, United States
About The Role
Join our team as a Senior DevOps Engineer, where you will be responsible for deploying, monitoring, and maintaining our production environment/services. You will work closely with developers to provide feedback and drive operational improvements, develop infrastructure and network best practices, and participate in on-call operations and monitoring. You will also document processes and procedures, create and maintain our SDLC platform, measure and optimize system performance, and provide primary operational support for large, distributed software applications.
- Deploy, monitor, and maintain the production environment/services, ensuring system health and stability.
- Collaborate with developers to provide feedback and drive operational improvements within the production infrastructure.
- Create, maintain, extend, and operate the SDLC platform used to build, test, package, and deploy web and mobile services.
- 5+ years of experience within a high-performance, 24x7, SRE/SysOps/DevOps team
- 5+ years of administration experience with AWS
- 2+ years of Infrastructure as Code (IaC) using Terraform
- 5+ years of experience with a version control system (e.g., Git)
- Knowledge of one or more scripting languages (e.g., Python or Bash)
- Build and scale AI-native infrastructure - automating CI/CD, observability, and incident response with Claude at the core of the workflow
- Working in a security and compliance-sensitive industry or environment
- Modern web application frameworks
- Delivering services via containers to AWS
- Pipeline-based SDLC automation such as GitLab, Jenkins Pipelines, AWS CodePipeline, or other automation tools
- Ability to be flexible, multi-task, and organize priorities in a fast-paced work environment, while maintaining a high level of focus and accuracy
- Linux
- Working knowledge of the following:
- HTTP/HTTPS
- SSH/SCP/SFTP
- DNS
- Experience maintaining RDBMS systems (PostgreSQL preferred)
- Experience with MLOps (DevOps for Machine Learning)
- Bachelor of Science degree in Computer Science
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