Rialtic is hiring a
Staff Engineer

Summary

Rialtic is seeking a motivated and experienced Staff Engineer to join their team. The candidate will be responsible for developing features, improving workflows, supporting client evaluations and implementations, and ensuring system reliability and security. The role requires extensive experience with cloud-native distributed systems, Golang, Python, and other related technologies.

Requirements

• 10+ years of overall hands-on professional experience with distributed systems engineering and asynchronous processing in a concurrent environment
• 5+ years of meaningful coding experience with Golang including shipping production systems written primarily in Go
• 5+ years of hands-on experience with core technologies or similar technologies in a cloud environment
• 2+ years of meaningful coding experience with Python
• Experience with application, server, and service security, secure development, and cryptography
• Strong belief and demonstrated capabilities in leveraging the power of testing and test automation
• Familiarity with SQL, NoSQL, key-value stores, and related concepts, and at least some proficiency in SQL
• Excellent asynchronous communication, listening, and interpersonal skills, and you consider yourself a lifelong learner

Responsibilities

• Develop core platform features using Golang, Python, PostgreSQL, Kafka, and various cloud (AWS) services
• Collaborate with engineering peers and build productive relationships with members of the Go-to-Market, Product Management, Clinical Content, and other teams
• Partner with cloud/SRE team to understand performance characteristics and storage needs for Kubernetes clusters
• Assist infosec team in reviewing security testing findings and implementing secure solutions
• Influence Engineering organization to adopt best practices in software development and testing
• Participate with internal and external stakeholders to understand business logic and requirements for Web-based payment integrity solution, client data warehouse exports, and one-time/ad-hoc analysis needs