Sr. Software Development Engineer

Clearwater Analytics’ mission is to become the world’s most trusted and comprehensive technology platform for investment reporting, accounting, and analytics. With our team, you will partner with the most sophisticated and innovative institutional investors around the world. If you are infectiously passionate about what you do, intensely committed to clients, and driven by continuous innovation and improvement... We want you to apply!

We are looking for Java and Python developers to design and build scalable, cloud-native platforms for OTC and listed derivatives. You will work on trade capture, valuation, lifecycle events, risk, and post-trade processing across Interest Rate Derivatives (IRD), Credit Derivatives (CRD), FX Derivatives (FXD), and related asset classes. You will work closely with product, quants, and operations to turn complex financial workflows into reliable, well-designed software.

Key Responsibilities

Design, develop, and maintain high-performance services for derivative trade lifecycle management, valuation, pricing, risk, collateral, and reporting.

Own the technical design of new modules and features, including architecture, data models, APIs, and integration patterns.

Build cloud-native microservices and data pipelines using containers and managed services.

Model and process derivative products (swaps, swaptions, caps/floors, CDS, FX forwards/options/NDFs) and their lifecycle events (resets, fixings, amendments, novations, terminations, compressions).

Write clean, testable, well-documented code, and take part in code and design reviews.

Improve the performance, resilience, and observability of production systems, and help resolve complex production issues.

Mentor junior engineers and help raise engineering standards (senior profiles).

Required Qualifications

6–12 years of software development experience, with at least 2 years in derivative asset classes (IRD, CRD, FXD, or equivalent).

Strong hands-on skills in Java (8/11/17+) and/or Python 3.x. Working knowledge of both is a plus.

Hands-on cloud development experience on AWS including containers (Docker, Kubernetes), CI/CD, and infrastructure-as-code.

Excellent design skills: OOP, SOLID, design patterns, domain-driven design, microservices, event-driven architecture, and REST/gRPC API design.

Working knowledge of derivative concepts: pricing and valuation basics,curves, trade lifecycle, and clearing/margining.

Proficiency with relational and NoSQL databases (PostgreSQL, Oracle, MongoDB, etc.) and messaging systems (Kafka, RabbitMQ, or similar).

Strong unit, integration, and automated testing practices.

Strong problem-solving and communication skills, and the ability to work with business stakeholders.

Preferred Qualifications

Experience with frameworks such as Spring Boot and FastAPI.

Experience with distributed computing and low-latency design

Exposure to observability tooling (Prometheus, Grafana, ELK, Datadog) and Agile/DevOps practices.

Degree in Computer Science, Engineering, Mathematics, Finance, or a related field. Certifications such as CFA, FRM are a plus.