Platform Architect – Enterprise Frameworks Lead

Ridgeline; Reno (NV); On-site; USD 183,000 - 228,000; Full time

Benefits offered by this job

Unlimited vacation

Educational reimbursements

Wellness reimbursements

$0 cost employee insurance plans

Stock plan

Job summary

You will collaborate across platform, product, and other engineering teams, applying strong judgment and mentoring others while leveraging AI tools to accelerate delivery.

Qualifications

• 8+ years of software engineering experience; architecting shared platforms, infrastructure, or frameworks.
• Strong software architecture judgment and ability to decompose ambiguous problems.
• Experience designing extensible data models, APIs, and platform abstractions.
• Experience with distributed systems patterns: event-driven workflows, asynchronous processing, caching, observability, and failure handling.
• Experience designing data-intensive systems such as search indexing, audit/event pipelines, or distributed processing workflows.
• Backend engineering experience with OO languages like Java, Kotlin, or Python and PostgreSQL.
• Experience operating production services: monitoring, alerting, logging, incident response, performance tuning, scalability, and data integrity.
• Experience managing large or distributed codebases in agile environments with JIRA.
• Strong knowledge of data structures, algorithms, architectural patterns, and secure software development practices.
• Ability to mentor engineers and influence technical direction across teams.

Responsibilities

• Design, build, and evolve extensible enterprise platform frameworks for product teams.
• Lead architecture discussions for shared infrastructure including data models, APIs, event-driven workflows, indexing pipelines, background jobs, and operational patterns.
• Apply creative, iterative problem solving to ambiguous technical challenges balancing long-term direction with short-term delivery.
• Design and test durable platform abstractions with strong attention to correctness, performance, scalability, security, data integrity, and developer experience.
• Use AI tools throughout the SDLC to accelerate research, prototyping, implementation, testing, documentation, and review, ensuring accuracy and security.
• Participate in on-call rotations and production support for the team’s services.
• Involve in the full software development process from requirements to delivery.
• Help evolve Ridgeline’s cloud-backed platform with operability, scalability, security, and cost-efficient infrastructure choices.
• Coach and mentor engineers on architecture, reliability, scalability, and maintainability.
• Collaborate across Platform, Product, and other teams to champion innovation.

Skills

Architecture judgment

Distributed systems

Backend engineering

Java/Python

JIRA

Tools

Kafka

Redis

Kubernetes

AWS

Job description

You will collaborate across platform, product, and other engineering teams, applying strong judgment and mentoring others while leveraging AI tools to accelerate delivery.