Sr. Platform Engineer - Data Infrastructure

Ovii's Interpretation of the Role

Weave seeks a senior platform engineer to design and build scalable data platform services that power core product features. The role blends backend development, distributed systems, and cloud infrastructure to make large‑scale data easy to access and use.

Role Snapshot

• Build scalable data platform components
• Design distributed data pipelines and messaging
• Implement cloud‑native infrastructure with IaC
• Collaborate with product owners and stakeholders
• Mentor and coach engineering teammates
• Ensure high‑quality, observable code

Must-Have Requirements

• Backend programming language (Go, Java, Python, or C/C++)
• Distributed systems design and scalability
• Messaging systems (Kafka, Google PubSub, etc.)
• NoSQL and distributed data stores (Bigtable, Spanner, Vertica, Vitess, S3, Iceberg)
• Public cloud platforms (AWS, GCP)
• Infrastructure as Code (IaC)
• backend development
• distributed systems
• data platform engineering

Nice-to-Have Signals

• Kubernetes
• Google Cloud Platform (GCP)
• Data analysis and visualization
• Operations / DevOps / SRE experience
• Greenfield rapid prototyping
• data analysis
• GCP
• operations / DevOps

Work Setup

• Location: Lehi, United States
• Work mode: REMOTE
• Remote scope: UNSPECIFIED
• Remote countries: United States, Weave - Headquarters (Lehi, UT)
• Employment type: Full-Time

Eligibility Gates

• Visa sponsorship: unknown
• Background check: required

Not Specified in JD

• Visa sponsorship
• Salary range
• Education requirement
• Certifications
• Relocation
• Notice period
• Travel
• Security clearance
• Coding test
• Portfolio
• GitHub
• Writing sample
• Cover letter

What You'll Likely Work On

• Design and develop core data platform components for business process orchestration
• Build resilient services for data integration, event processing, and platform extensions
• Evolve product functionality that handles large data volumes and traffic
• Write high‑quality, performant, testable code and own its quality
• Coach and collaborate across teams, sharing expertise and best practices
• Implement solutions in a hybrid‑cloud environment using distributed components
• Translate product goals into concrete engineering plans with stakeholders

Good Fit If You Have

• Background in data analysis and visualization
• Experience with Kubernetes and GCP
• Operations or DevOps/SRE experience
• Enjoys greenfield rapid prototyping