Sr. Platform Engineer - Data Infrastructure

Team and platform

What you will own

• Design and develop data platform components for business process orchestration and workflows.
• Build scalable, resilient services for data integration, event processing, and platform extensions.
• Evolve product functionality serving large volumes of data and traffic.
• Write high-quality, performant, sustainable, and testable code.
• Coach and collaborate with teammates, share expertise, and encourage best practices.
• Work with hybrid cloud infrastructure and distributed components and services.
• Turn stakeholder product goals into actionable engineering plans.

What you will need

• At least 3 years of backend-language experience, such as Go, Java, or Python.
• Experience moving and storing terabytes of data or hundreds of millions of records.
• Understanding of distributed systems and scalable, redundant, observable services.
• Expertise architecting messaging systems, distributed data stores, and NoSQL technologies.
• Experience building on one or more public clouds and with infrastructure as code and highly available systems.
• A track record of delivering complex projects on time in enterprise-grade production environments.
• Team-focused collaboration skills.

Preferred qualifications

• 5+ years of backend-language experience, preferably Java, Go, or Python.
• Background in data analysis and visualization or management of distributed data technologies such as streaming, data mesh, lakes, warehouses, or distributed machine learning.
• Kubernetes, GCP, operations experience, and greenfield rapid-prototyping experience are listed as preferred.

Workplace

• The posting explicitly states that the position is remote.

Hiring process note

• Employment is contingent on a background check conducted in accordance with applicable laws.