Software Engineer, Custodian Data

Ridgeline•San Ramon, CA

About The Position

Senior Software Engineer, Custodian Data Location: San Ramon, CA 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.

Requirements

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

Nice To Haves

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

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 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