Self Financial is a venture-backed, high-growth FinTech company focused on increasing economic inclusion and financial resilience. The Senior DevOps Engineer will deploy, monitor, and maintain production environments while collaborating with developers to improve operational efficiency and system performance.
Responsibilities:
- Work closely with Developers to provide feedback and drive operational improvements within our production infrastructure
- Develop infrastructure and network best practices
- Participate in our on-call operations and monitoring pool
- Document processes and procedures with the appropriate level of detail
- Create, maintain, extend, and operate the SDLC platform used to build, test, package, and deploy our web and mobile services and applications
- Measure and optimize system performance to push our capabilities forward, get ahead of customer needs, and innovate to continually improve
- Provide primary operational support for large, distributed software applications
- Production performance and uptime analysis
Requirements:
- 5+ years of administration experience with AWS
- 5+ years of experience within a high-performance, 24x7, SRE/SysOps/DevOps team
- 5+ years of experience with a version control system (e.g., Git)
- Knowledge of one or more scripting languages (e.g., Python or Bash)
- 2+ years of Infrastructure as Code (IaC) using Terraform
- Experience with modern web application frameworks
- Experience with pipeline-based SDLC automation such as GitLab, Jenkins Pipelines, AWS CodePipeline, or other automation tools
- Experience delivering services via containers to AWS
- Experience working in a security and compliance-sensitive industry or environment
- Working knowledge of DNS
- Working knowledge of HTTP/HTTPS
- Working knowledge of Linux
- Working knowledge of SSH/SCP/SFTP
- Ability to be flexible, multi-task, and organize priorities in a fast-paced work environment, while maintaining a high level of focus and accuracy
- Experience maintaining RDBMS systems (PostgreSQL preferred)
- Bachelor of Science degree in Computer Science
- Experience with MLOps (DevOps for Machine Learning)