Staff Software Engineer, Portfolio Accounting

Ridgeline•Reno, NV

23h•Hybrid

About The Position

As a Ridgeline Staff Software Engineer on our Portfolio Accounting team, you’ll have the unique opportunity to build an industry-defining, fast, scalable accounting engine with full asset class support and global market coverage. You will provide technical leadership to help evolve our architecture, scale to meet our growth opportunities, and exemplify software engineering best practices across the organization. Our team of engineers are building with cutting-edge technologies—like Claude Code and Cursor—in a fast-moving, creative, progressive work environment. You’ll be encouraged to think outside the box, bringing your own vision, passion, and insights to drive advancements that impact both our team and the industry. Our team is committed to creating a lasting impact on the investment management industry, leveraging AI and modern software development practices to deliver transformative change. 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.

Requirements

8+ years of software engineering experience with a proven track record of designing and delivering new products
3+ years of experience in Portfolio Accounting, Reconciliation, Market Data, or FinTech application development
Degree in Computer Science, Information Science, or a related discipline
Experience building cloud-native applications, preferably on AWS
Familiarity with high-availability systems, production on-call practices, and performance monitoring
Understanding of automated testing strategies across multiple levels
Ability to balance short-term priorities with long-term architectural thinking
Excellent communication and collaboration skills
Willingness to learn and explore cutting-edge technologies while cultivating expertise in complex business domains
Strong problem-solving aptitude
Serious interest in having fun at work

Nice To Haves

CFA Charter
Experience with Java or Kotlin
Understanding of AWS services and infrastructure
Experience with Docker or containerization technologies
Familiarity with agile development methodologies
Experience with caching strategies and data modeling
Demonstrated success leading complex, multi-team technical initiatives
Proven ability to prioritize and manage multiple projects simultaneously
Ability to amplify the ideas and contributions of others
A responsibility-driven mindset that extends beyond writing code
Comfort operating in fast-paced, evolving environments
Passion for exploring and applying cutting-edge technologies

Responsibilities

Lead your team in adopting AI-assisted engineering practices by driving experiments that measurably improve productivity, quality, and outcomes while sharing learnings with adjacent teams
Evaluate AI tooling critically, identifying risks such as hallucination and security exposure, and establish guardrails that enable responsible adoption
Contribute accounting domain knowledge, design skills, and technical expertise to a cross-functional team
Participate in the full software development lifecycle, from requirements and design reviews to shipping production code
Lead the design and evolution of cloud-native services on AWS, soliciting broad feedback and building team consensus around key architectural decisions
Represent the team’s systems in cross-functional technical discussions and contribute to Ridgeline’s Architecture Advice Process
Build developer automation that enables scalable, high-quality applications relied upon by asset managers
Coach and mentor engineers responsible for delivering secure, high-performing enterprise applications
Participate in engineering hiring and talent-building initiatives
Think creatively, own complex problems, seek pragmatic solutions, and communicate clearly along the way
Drive engineering best practices that ensure maintainability, observability, and high availability
Contribute to a culture of ownership, continuous learning, and transparent collaboration