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Description:
Collaborate with Data Engineering, Data Science, and other Software Engineering teams to implement infrastructure, CI/CD systems, automated testing systems, and monitoring systems for the client's stack.
Take ownership of infrastructure, security, and authentication for the client's function.
Influence architecture and technology stack for quality and innovation in data-driven machine learning systems.
Design and implement foundational infrastructure components for engineering teams.
Implement reusable tooling for CI/CD pipelines and cloud infrastructure.
Research and implement new technologies to stay innovative.
Contribute to the long-term technical roadmap.
Requirements:
Real-world experience in developing scalable software.
Strong Unix and Windows administration experience.
Experience in developing and supporting production-quality tools and services.
Proficiency in Bash and PowerShell scripting, Terraform, Azure, GitHub Actions, Docker, Kubernetes, Datadog, Python, and TypeScript.
Familiarity with Symantec version automation.
Extra credit for experience in data-driven machine learning systems and GraphQL.
Benefits:
Health plan and dental plan.
Meal allowances.
Childcare assistance.
Extended parenting leave.
Gympass.
Annual profit-sharing distribution.
Life insurance.
Partnership with an online mental health platform.
CI&T University.
Discount Club.
Support Program: financial, psychological guidance, nutritionist, and more.