Responsibilities:
- Build and use software tools to support CI/CD, containerization, workflows, software quality, performance, and other software development practices.
- Mentor and evangelize a DevOps mentality throughout the development organization.
- Utilize Agile principles and practices to deliver pragmatic solutions.
- Collaborate with key stakeholders across Engineering, Architecture, and Product teams to improve our software development lifecycle and customer experience.
- Create transparency in workflows for development teams by automating the building and deploying of applications and software services.
- Continuously improve the speed of development, software quality, and performance of application features.
- Leverage cloud technologies, containerization, and automation to improve performance, reliability, quality, and costs.
Minimum Qualifications:
- 5+ years of overall software development experience, including 2+ years in a senior role for SRE, DevOps, or platform automation.
- Experience with building and implementing CI/CD pipelines using technologies like GitHub, GitHub Actions (preferred), Jenkins, and CircleCI.
- Strong understanding of modern cloud-native environments (AWS preferred) and containerization technologies (Kubernetes, EKS, ECS).
- Experience with building, deploying, scaling, and managing distributed systems on AWS at an enterprise/SaaS level.
- Proven ability to lead an organization through the CI/CD journey.
- Ability to perform in a high-energy environment with dynamic job responsibilities and priorities.
- Strong analytical skills to debug, troubleshoot, and resolve complex problems.
- Fluent in one or more programming languages and familiar with one or more scripting languages.
- Ability to handle periodic on-call duty as well as out-of-band requests.
Preferred Qualifications:
- 7+ years as a DevOps Engineer in a cloud environment, AWS preferred.
- AWS Certifications.
- Software development experience.
- Experience in a high-volume or critical production environment.
- Expertise in analyzing and troubleshooting large-scale distributed systems.
- Expert in data structures, algorithms, and complex analysis.
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