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Ridgeline

AI-native front-to-back office investment platform

Senior Software Engineer - Custodian Data

Backend EngineeringConfirmed live in the last 24 hours
Full-timeNew York, NY, USA

About the Job

Requirements

  • Five to seven or more years in a software engineering role, delivering enterprise-grade applications.
  • Extensive experience in Java or Kotlin.
  • Experience building cloud-native applications on AWS, Azure, or Google Cloud.
  • Experience with API development or event-driven architecture.
  • Understanding of high-availability and distributed-systems concepts.
  • Experience participating in on-call rotations and handling L2/L3 support.
  • Proficiency with observability tooling, performance monitoring, and production debugging.
  • Strong grasp of automated testing practices across unit, integration, and end-to-end levels.
  • A degree in Computer Science, Information Systems, or a related discipline, or equivalent experience.

Responsibilities

  • Contribute hands-on technical skills, domain knowledge, and design input to a collaborative engineering team.
  • Participate in the full software development lifecycle, from requirements and design reviews to building, testing, and deploying code.
  • Build and maintain cloud-native applications using AWS-based services across the platform.
  • Design, develop, and support APIs, events, and distributed services with a focus on scalability and reliability.
  • Develop data pipelines for ingesting and enriching data.
  • Implement and improve developer tooling and automation to drive high-quality, scalable, and maintainable systems.
  • Participate in production support, including L2/L3 support and an on-call rotation, ensuring high availability for customer-facing systems.
  • Drive improvements in observability, instrumentation, and performance monitoring.
  • Advocate for and contribute to strong engineering fundamentals, including automated testing at all levels.
  • Collaborate cross-functionally with product, QA, and other engineering teams.
  • Demonstrate ownership, creativity, and a willingness to investigate business-domain problems.
  • Contribute to an engineering culture rooted in learning, teaching, inclusion, and transparency.

Desired Qualifications

  • Experience working on data pipelines, reconciliation systems, market-data ingestion, or other fintech applications.
  • Understanding of AWS services and infrastructure patterns.
  • Experience with Docker or containerization.
  • Familiarity with agile methodologies.
  • Experience with caching technologies.
  • Experience with data modeling or designing schemas.
  • Exposure to React or willingness to learn.
  • Experience building or owning systems with significant performance or scale requirements.
  • Ability to manage multiple priorities and deliver high-quality work in a fast-paced environment.

About the Company

Ridgeline

AI-native front-to-back office investment platform

Ridgeline delivers a single, cloud-based platform for investment management that unifies front-to-back office functions (client engagement, portfolio management, trading, compliance, reconciliation, accounting, and reporting) on one real-time data set. Its AI-native approach embeds Ridgeline AI throughout the platform, including digital coworkers, a conversational reporting assistant, and workflow automation, plus Market Intelligence integrated into workflows. It distinguishes itself from competitors by building the system from the ground up with an enterprise software approach and tying pricing to multi-year SaaS contracts that scale with assets under management. The company aims to help asset managers, wealth managers, and RIAs run their businesses more efficiently, reduce data silos, automate complex workflows, stay compliant, and produce timely financial reporting.

Company size
201-500
Company stage
Series E
Total funding
$250M
Headquarters
Incline Village-Crystal Bay, Nevada
Founded
2018

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