Senior Software Engineer
Clear Street
About the role
About Clear Street
Clear Street’s mission is to give every sophisticated investor access to every asset, in every market, through a unified platform built for speed, transparency and scale.
We give our clients the technology, tools, and service once reserved for the largest institutions, rebuilt with modern infrastructure. Our single, cloud‑native, end‑to‑end capital markets platform powers investor growth today and is transforming how they can interact with markets tomorrow.
The Role
We are seeking an experienced Senior Software Engineer to join our Finance Technology team, where you will play a critical role in building and owning the data layer and APIs that power P&L and client profitability insights across the firm.
In this role, you will design and implement highly reliable, scalable backend systems that expose accurate, timely financial data to downstream consumers including finance, risk, and client‑facing platforms. You will work on complex financial data models, reconcile multiple data sources, and translate ambiguous business requirements into deterministic, observable systems.
You will tackle non‑trivial problems that require careful trade‑off analysis across correctness, performance, scalability, and maintainability—while writing clean, efficient Java code. As a senior engineer, you will help shape architecture, establish best practices, and mentor other engineers on the team.
What You’ll Do
- Own the design, implementation, and evolution of the data layer supporting firm‑wide P&L and client profitability reporting.
- Build and maintain Java‑based APIs that expose financial metrics with strong guarantees around accuracy, auditability, and performance.
- Design and operate high‑throughput data pipelines for ingestion, validation, enrichment, and persistence of financial data.
- Partner closely with Finance, Product, and other Engineering teams to turn complex and evolving requirements into robust systems.
- Implement observability, data quality checks, and reconciliation mechanisms to ensure trust in financial outputs.
- Make architectural decisions around data modeling, storage, and access patterns with a focus on scalability and maintainability.
- Mentor junior engineers, contribute to technical standards, and promote a culture of strong system design and operational excellence.
The Team
The Finance Technology team builds the core platforms that power financial reporting, profitability analysis, and decision‑making across the firm. We work at the intersection of engineering and finance, solving challenging problems where correctness and reliability are paramount.
Our team is composed of collaborative, highly motivated data engineers who value clear thinking, ownership, and continuous improvement. You will have the opportunity to work on business‑critical systems, collaborate with stakeholders across the firm, and make a meaningful impact on how financial performance is measured and understood.
Requirements
- 8+ years of professional experience building highly scalable backend services in Java, ideally using Spring Boot.
- Strong experience with multi‑threaded and asynchronous processing patterns.
- Deep SQL expertise, including query optimization, execution plan analysis, and performance tuning.
- Strong experience designing and implementing financial data models and working with large, complex datasets.
- Experience building robust data ingestion, validation, and transformation pipelines.
- Solid understanding of API design principles and building well‑documented, consumer‑friendly services.
- Strong production debugging instincts—able to trace issues across application, database, and infrastructure layers.
- Strong command of design patterns, data structures, and algorithms.
- Proficiency with git, including branching, rebasing, and resolving conflicts.
- Experience working in Linux‑based environments with containerized and cloud‑native deployments (Docker, Kubernetes).
Preferred Qualifications
- Experience with financial systems involving P&L, accounting, or client profitability.
- Familiarity with PostgreSQL, Snowflake, Kafka, or similar data platforms.
- Exposure to gRPC, event‑driven architectures, or distributed systems.
- Experience integrating with external or third‑party data providers.
- Willingness and ability to quickly learn new technologies and financial domain concepts.
We Offer
- The opportunity to join a growing team of good people, where you can make a difference.
- A new, high‑quality code base with little technical debt and room to build new services and features.
- An environment that embraces the utility of a DevOps‑oriented culture and combines it with a focus on CI/CD methodology.
- A meritocratic philosophy that champions collaboration.
- Competitive compensation, benefits, and perks.
- Base Salary Range: $170,000 – $220,000 (based on experience, skills, and location).
- Company equity, 401k matching, gender‑neutral parental leave, and full medical, dental, and vision insurance.
- In‑office benefits include lunch stipends, fully stocked kitchens, happy hours, a great location, and amazing views.
- Commitment to a diverse, inclusive workplace and equal opportunity employment.
Requirements
- 8+ years of professional experience building highly scalable backend services in Java, ideally using Spring Boot.
- Strong experience with multi-threaded and asynchronous processing patterns.
- Deep SQL expertise, including query optimization, execution plan analysis, and performance tuning.
- Strong experience designing and implementing financial data models and working with large, complex datasets.
- Experience building robust data ingestion, validation, and transformation pipelines.
- Solid understanding of API design principles and building well-documented, consumer-friendly services.
- Strong production debugging instincts—able to trace issues across application, database, and infrastructure layers.
- Strong command of design patterns, data structures, and algorithms.
- Proficiency with git, including branching, rebasing, and resolving conflicts.
- Experience working in Linux-based environments with containerized and cloud-native deployments (Docker, Kubernetes).
Responsibilities
- Own the design, implementation, and evolution of the data layer supporting firm-wide P&L and client profitability reporting.
- Build and maintain Java-based APIs that expose financial metrics with strong guarantees around accuracy, auditability, and performance.
- Design and operate high-throughput data pipelines for ingestion, validation, enrichment, and persistence of financial data.
- Partner closely with Finance, Product, and other Engineering teams to turn complex and evolving requirements into robust systems.
- Implement observability, data quality checks, and reconciliation mechanisms to ensure trust in financial outputs.
- Make architectural decisions around data modeling, storage, and access patterns with a focus on scalability and maintainability.
- Mentor junior engineers, contribute to technical standards, and promote a culture of strong system design and operational excellence.
Benefits
Skills
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