Sr. Platform Engineer - Data Infrastructure

Weave is looking for engineers hungry for fun challenges who can join their self-empowered teams. The role involves designing and developing core data platform components, building scalable services, and collaborating with stakeholders to enhance product functionality.

Responsibilities:

• Design and Develop core data platform components for enabling business process orchestration and workflows
• Build scalable, resilient services to support data integration, event processing, and platform extensions
• Contribute to the continued evolution of product functionality that services large amounts of data and traffic
• Write code that is high-quality, performant, sustainable, and testable while holding yourself accountable for the quality of the code you produce
• Coach and collaborate inside and outside the team. You enjoy working closely with others - helping them grow by sharing expertise and encouraging best practices
• Work in a hybrid cloud infrastructure, considering the implementation of functionality through several distributed components and services
• Work with our stakeholders to translate product goals into actionable engineering plans

Requirements:

• High integrity, team-focused approach, and collaboration skills to build tight-knit relationships across Weave
• 3+ years of experience in any back-end language, i.e. Go, Java or Python (Go, Java, or C/C++ experience is a plus)
• Experience moving and storing TBs of data or 100's of millions of records
• Understanding of distributed systems and building scalable, redundant, and observable services
• Expertise in architecting messaging systems, distributed data stores and NoSQL technologies (e.g., Kafka, Google PubSub, Bigtable, Spanner, Vertica, Vitess, S3, Iceberg, etc.)
• Experience building solutions to run on one or more of the public clouds (e.g., AWS, GCP, etc.)
• Experience with infrastructure as code, and setting up and maintaining highly available systems
• Responsive person with a strong bias for action
• Entrepreneurial spirit and a thirst for learning
• Demonstrated track record of delivering complex projects on time and have experience working in enterprise-grade production environments
• Strategic thinker with a strong technical aptitude and a passion for execution
• A background with data analysis and visualization
• 5+ years of experience in any back-end language, preferably Java, Go or Python
• Management of distributed data technologies such as streaming, data mesh, data lakes, warehouses, or distributed machine learning
• Experience with Kubernetes
• Experience with GCP
• A background in operations such as networking, system administration, or DevOps/SRE
• Enjoys working in a greenfield environment using rapid prototyping