About the role

Beyond helming our production infrastructure, the software engineering infrastructure team is the caretaker and standards-setter of all of Afresh’s internal systems. From automating continuous delivery pipelines to building out a unified single-sign-on identity platform, team members are singularly empowered to make sure that Afresh stays abreast of the latest methodologies for running a modern fully-in-the-cloud organization. Our systems are written in Python and TypeScript and run fully containerized on top of Azure Kubernetes Service provisioned with Terraform. We deploy through CircleCI several times a day and rely on Datadog and Sentry to alert us when anything goes wrong.

Responsibilities:

• Lead infrastructure engineering by overseeing architecture, security, and development of scalable and secure infrastructure for internal engineering teams.
• Partner with engineering teams to analyze their infrastructure needs and develop tailored, intrusion-resistant solutions.
• Improve the observability of infrastructure to ensure high reliability and performance.
• Troubleshoot complex infrastructure issues and restore services quickly.
• Ensure infrastructure compliance with security and data protection regulations.
• Recommend upgrades, monitor/alert to stay ahead of problems, address root causes to avoid repeat incidents.
• Mentor junior infrastructure engineers.
• Utilize Terraform, Kubernetes, Python, Public Cloud, Azure, AWS, GCP, InfoSec, SCRUM/Kanban, CI/CD, Cloud services, Jenkins, Docker, Golang, Ruby, Jira, Github.

Requirements:

• At least a Master’s degree in Computer Engineering, Telecommunications Engineering, or a closely related technical field.
• Three (3) years of experience as a software engineer (any title), including developing services on public cloud and/or cloud foundations and using AWS, CI/CD, GCP, Terraform, Python, Ruby, Go, and Jenkins.
• Must include at least two (2) years developing blocks foundational tooling including Terraform pipelines; engaging in Continuous Deployment for AWS cloud; developing APIs and provisioning tools; and using Kubernetes and Cloud Formation.

The above represent attributes our ideal candidate possesses. We encourage all highly qualified candidates to apply, even if they do not fulfill all the listed criteria.

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