Systems engineer focused on ML training infrastructure at OpenAI, building and maintaining large - scale model training systems. Collaborating with research teams to enable novel training approaches and improving infrastructure reliability.
About the role
- Site Reliability Engineer automating infrastructure and operations at DTEX Systems. Seeking candidates with strong software engineering background and experience in cloud environments.
Responsibilities
- Design, write, and maintain software, primarily in Python, to automate the provisioning, deployment, and configuration management of our infrastructure
- Contribute to the adoption and maturation of Terraform, establishing and maintaining best practices for state management, modularization, and version control
- Utilize Ansible and/or Saltstack to ensure consistency, repeatability, and standardization across all environments
- Develop robust CI/CD pipelines for both infrastructure and application deployments, replacing manual processes
- Implement and mature monitoring, logging, and alerting systems to proactively improve system reliability
- Participate in a “follow the sun” on-call rotation, focusing on sustainable incident response, blameless postmortems, and driving continuous improvement
- Champion SRE principles, automation, and coding best practices within the team and across the organization
Requirements
- 3+ years of hands-on experience managing production environments in AWS and/or GCP.
- Strong proficiency in Python.
- Demonstrated ability to write clean, maintainable, and testable code to solve infrastructure problems.
- Experience with Terraform, including best practices for state management and modular design in complex environments.
- Strong knowledge of Linux internals and high competency in Bash scripting and command-line operations.
- Proficiency with Ansible and/or Saltstack as configuration management tools.
- Expert level understanding of Git and collaborative workflows, such as branching strategies and code review best practices.
- MS/BS in Computer Science/Computer Engineering or related field of study (or equivalent experience).
Benefits
- Competitive compensation
- Equity participation
- Health and wellness benefits
- Generous time-off policies
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