Senior Software Engineer — Analytics Platform (Kotlin, Cloud)

Ridgeline; New York (NY); On-site; USD 120,000 - 180,000; Full time

Benefits offered by this job

Company Stock Plan

Unlimited vacation

Educational reimbursements

Wellness reimbursements

Zero cost employee benefits

Job summary

Ridgeline is seeking an experienced software engineer to design and implement a next-generation performance and analytics platform using modern OLAP and columnar technologies. The role covers the full software development lifecycle, from requirements and design reviews to implementation on AWS.

You will work in a fast-paced environment, applying cloud-native practices, analytical data modeling, and rigorous testing to deliver scalable solutions for investment analytics.

Qualifications

• 5+ years of software engineering experience with Kotlin and cloud-native development on AWS, Azure, or Google Cloud.
• Degree in Computer Science or a related field required.
• Experience with analytical data modeling required.

Responsibilities

• Design and implement a next-generation performance and analytics platform using OLAP and columnar technologies.
• Participate in the full software development lifecycle from requirements and design reviews to implementation on AWS.
• Collaborate across teams to ensure scalable, reliable, and maintainable solutions.

Skills

Kotlin

OLAP

Columnar DB

AWS

Data modeling

Cloud-native apps

Automated testing

Software architecture

ETL pipelines

Investment analytics

TWR

Brinson attribution

Claude code

Cursor

Problem solving

Technical design

Education

Bachelor's degree in Computer Science or related field

Job description

Ridgeline is seeking an experienced software engineer to design and implement a next-generation performance and analytics platform using modern OLAP and columnar technologies. The role covers the full software development lifecycle, from requirements and design reviews to implementation on AWS.

You will work in a fast-paced environment, applying cloud-native practices, analytical data modeling, and rigorous testing to deliver scalable solutions for investment analytics.