<p>Do you have a passion for finance & investing? Are you excited by the challenge of modeling industry-critical data and making it highly available? Do you enjoy solving complex technical problems and delivering high-quality software? If so, we invite you to join our innovative Custodian Data team.</p> <p>At Ridgeline, our Senior Software Engineers play a key role in building an industry-defining, fast, scalable custodian data engine with full asset class support and global market coverage. You’ll work with cutting-edge technologies—including AI tools like GitHub Copilot and ChatGPT—in a fast-moving, creative, and collaborative environment.</p> <p>As a Senior Engineer on the Custodian Data team, you will contribute to the evolution of our architecture, ensure delivery of high-quality systems, and work closely with design, product, and engineering partners to build cloud-native applications that power mission-critical workflows for our customers.</p> <p>You must be work-authorized in the United States without the need for employer sponsorship.</p> <h2><strong>What you will do</strong></h2> <ul> <li>Contribute hands-on technical skills, domain knowledge, and design input to a collaborative engineering team</li> <li>Participate in the full software development lifecycle—from requirements and design reviews to building, testing, and deploying code</li> <li>Build and maintain cloud-native applications using AWS-based services across our platform</li> <li>Design, develop, and support APIs, events, and distributed services with a focus on scalability and reliability</li> <li>Develop Data pipelines for ingesting and enriching data. </li> <li>Implement and improve developer tooling and automation to drive high-quality, scalable, and maintainable systems</li> <li>Participate in production support, including L2/L3 support and on-call rotation, ensuring high availability for customer-facing systems</li> <li>Drive improvements in observability, instrumentation, and performance monitoring</li> <li>Advocate for and contribute to strong engineering fundamentals, including automated testing at all levels</li> <li>Collaborate cross-functionally with product, QA, and other engineering teams</li> <li>Demonstrate ownership, creativity, and a willingness to dive deep into business domain problems</li> <li>Contribute to an engineering culture rooted in learning, teaching, inclusion, and transparency<br><br></li> </ul> <h2><strong>Desired Skills and Experience</strong></h2> <ul> <li>5–7+ years in a software engineering role, with experience delivering enterprise-grade applications</li> <li>Extensive experience in Java or Kotlin</li> <li>Experience building cloud-native applications on AWS, Azure, or Google Cloud</li> <li>Experience with API development and/or event-driven architecture</li> <li>Understanding of high-availability and distributed systems concepts</li> <li>Experience participating in on-call rotations and handling L2/L3 support</li> <li>Proficiency with observability tooling, performance monitoring, and production debugging</li> <li>Strong grasp of automated testing practices across unit, integration, and end-to-end levels</li> <li>Ability to break down complex problems, propose solutions, and communicate clearly</li> <li>A degree in Computer Science, Information Systems, or a related discipline, or equivalent experience</li> <li>Genuine interest in collaborating with others and having fun at work<br><br></li> </ul> <h2><strong>Bonus Points</strong></h2> <ul> <li>Experience working on data pipelines, reconciliation systems, market data ingestion, or other fintech applications</li> <li>Understanding of AWS services and infrastructure patterns</li> <li>Experience with Docker or containerization</li> <li>Familiarity with agile methodologies</li> <li>Experience with caching technologies</li> <li>Experience with data modeling or designing schemas</li> <li>Exposure to React or willingness to learn</li> <li>Experience building or owning systems with significant performance or scale requirements</li> <li>Ability to manage multiple priorities and deliver high-quality work in a fast-paced environment</li> <li>Strong written and verbal communication skills</li> <li>An aptitude for problem-solving and continuous improvement</li> <li>Demonstrated ability to collaborate and positively influence your team<br><br></li> </ul> <h2><strong>About Ridgeline</strong></h2> <p>Ridgeline is the industry cloud platform for investment management. Founded in 2017 by visionary entrepreneur Dave Duffield (co-founder of PeopleSoft and Workday), Ridgeline is purpose-built to transform how investment managers run their businesses.</p> <p>Headquartered in Lake Tahoe with offices in Reno, Manhattan, and the Bay Area, Ridgeline is proud to be a people-first, fast-growing company recognized as a “Best Workplace for Innovators” by Fast Company, a “Top U.S. Startup” by LinkedIn, and a “Top 100 Software Company” by The Software Report.</p> <p>We are a community-minded, discrimination-free equal opportunity workplace.</p> <h2><strong>Compensation and Benefits</strong></h2> <p><em>The typical starting salary range for this role in the San Francisco Bay Area or NYC Metro Area is: $168,000 - $210,000</em></p> <p>Final c