Senior Software Engineer, Client Management

Ridgeline
Reno, NVPosted 27 March 2026

Job Description

Are you an experienced full stack engineer passionate about building elegant, scalable solutions from the ground up? Do you thrive in fast-paced environments and love designing systems that support enterprise-grade performance and usability? Are you excited to contribute to a growing platform that revolutionizes how investment firms engage with clients? As a Senior Full Stack Engineer on Ridgeline’s Client Management team, you'll help define and develop industry-defining, cloud-native software that transforms how investment firms onboard clients, manage portfolios, and automate investor services. You’ll collaborate across disciplines to deliver innovative, high-quality solutions for our Client and Revenue Management products—built from scratch using modern tools and frameworks. In this role, you’ll tackle complex engineering challenges while leveraging cutting-edge technologies, including AI tools like GitHub Copilot and ChatGPT, to accelerate your workflow and amplify your impact. At Ridgeline, how we work matters as much as what we build. Ridgeliners act like owners, choose growth over comfort, and communicate with transparency. We assume positive intent, bias toward action, and bring solutions—not just problems. We celebrate wins, learn from setbacks, and thrive in a resilient, collaborative, high-performing culture.If this excites you, we’d love to meet you. You must be work authorized in the United States without the need for employer sponsorship. The impact you will have: Design and implement intuitive, secure, and scalable cloud-native applications from scratch using modern frameworks Develop sophisticated web front-ends using React, TypeScript, and other JavaScript tools Build performant and maintainable backend services using Java or Kotlin, REST/GraphQL APIs, and SQL Participate in all stages of the SDLC, including requirements, architecture, implementation, testing, and release Partner closely with product, design, and UX to shape a seamless user experience Leverage GitHub Copilot, ChatGPT, and similar tools to accelerate development and inspire creative problem-solving Drive technical quality through rigorous testing and automation Mentor and inspire fellow engineers by sharing best practices, leading by example, and encouraging continuous learning Contribute to a collaborative team culture centered on transparency, curiosity, and resilience What we look for: 8+ years of experience in software engineering, preferably building cloud-native applications Expertise in modern web technologies including React, TypeScript, JavaScript, and Jest Proficiency in backend development using JVM languages (e.g., Java, Kotlin), APIs, and SQL Hands-on experience building on AWS, Azure, or Google Cloud Strong testing discipline across unit, integration, and system levels Passion for problem-solving, clean architecture, and scalable design Interest in leveraging AI tools to optimize development workflows Ability to communicate clearly across disciplines and levels Willingness to continuously learn new technologies and domain knowledge Serious interest in having fun at work Bonus: Experience with Docker, containerization, or IaC tools like Terraform Familiarity with Kafka or AWS MSK Background in CRM, revenue systems, investment, or asset management Exposure to Agile development methodologies Knowledge of performance optimization at scale Experience using Datadog for observability About Ridgeline Ridgeline is the first front-to-back system of record for investment managers. Founded by visionary entrepreneur Dave Duffield (co-founder of both PeopleSoft and Workday), the company was created to modernize an industry held back by outdated, disconnected technology. Powered by a single, real-time data set and embedded AI, Ridgeline helps firms automate complexity, accelerate collaboration, and deliver tailored client experiences at scale, without added headcount or risk. Ridgeline is headquartered in Lake Ta ... (truncated, view full listing at source)
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