Software 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 What we look for: 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: 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 Strong written and verbal communication skills An aptitude for problem-solving and continuous improvement Demonstrated ability to collaborate and positively influence your team About Ridgeline Ridgeline is the first front-to-back system of record for ... (truncated, view full listing at source)