Senior Platform Engineer, Data Infrastructure

Weave • Lehi, UT

1d • Remote

About The Position

Weave is looking for engineers hungry for fun challenges who can join our self-empowered teams and contribute in both technical and non-technical ways.
You will be joining a team of talented developers that share a common interest in distributed backend systems, data, scalability, and continued development. You will get a chance to apply these, and other skills, to new and ongoing projects to make data more available, and easier to discover and use.
Our cross functional, agile teams are composed of a product owner, backend and frontend devs and devops. Teams are highly autonomous with the ownership and ability to act in Weave’s best interest.
Above all, your work will impact the way our customers experience Weave while working closely with a highly skilled team to accomplish varying goals and cultivate our phenomenal culture.
The Data Platform Team's mission is to enable product innovation by making it painless for developers to build applications that require access to large sets of data. Many of the core Weave products/features (auto scheduling, AI/ML, real-time notifications, etc.) and backend services (Search indexing, Conversion, etc.) are powered by our data platform infrastructure. We handle data for thousands of customers daily. This year we are putting extra emphasis on making it easy to work with data, enhancing the dependability of our core systems, and enhancing our tooling for pain free security & compliance. This will require out of the box thinking.
This position will be local or remote (US)

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

Nice To Haves

• 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

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.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed