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Description:
The Senior Data Infrastructure Engineer position at Webflow involves building robust, secure, and scalable infrastructure to support data operations.
Responsibilities include provisioning and deploying infrastructure using Pulumi for systems like Kafka, Spark, and Airflow on AWS.
The role requires managing and maintaining clusters for optimal performance, configuring VPCs, load balancers, and endpoints for secure communication, and overseeing S3 data lake management.
The Senior Data Infrastructure Engineer will design high-availability solutions, implement caching strategies, and optimize performance through monitoring and logging tools.
Other duties include participating in engineering activities, mentoring a team of engineers, and simplifying infrastructure complexity for other teams.
Requirements:
5+ years of experience in roles like Data Infrastructure Engineer, Platform Engineer, SRE, DevOps, or Backend Engineer.
Strong experience with provisioning and managing data infrastructure components such as Kafka, Spark, and Airflow.
Proficiency in cloud services, containerization technologies, infrastructure as code tools, networking concepts, and monitoring and logging tools.
Problem-solving skills, attention to detail, and excellent communication and collaboration abilities.
Benefits:
Equity ownership (RSUs) in a growing, privately-owned company.
100% employer-paid healthcare, vision, and dental insurance coverage for employees and dependents.
12 weeks of paid parental leave for both birthing and non-birthing caregivers, with additional pregnancy disability leave.
Flexible PTO with a mandatory annual minimum of 10 days paid time off and sabbatical program.
Access to mental wellness coaching, therapy, and Employee Assistance Program.
Monthly stipends for health and wellness, smart work, and annual stipends for professional growth.
Professional career coaching, internal learning & development programs.
401k plan, financial wellness benefits, and commuter benefits for in-office workers.