Senior Engineer, Custodian Data

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. 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. 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. You must be work-authorized in the United States without the need for employer sponsorship. What you will do • 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 our 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 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 dive deep into business domain problems • Contribute to an engineering culture rooted in learning, teaching, inclusion, and transparency Desired Skills and Experience • 5–7+ years in a software engineering role, with experience 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 and/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 • Ability to break down complex problems, propose solutions, and communicate clearly • A degree in Computer Science, Information Systems, or a related discipline, or equivalent experience • Genuine interest in collaborating with others and having fun at work Bonus Points • 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 i