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Sr. Software Development Engineer

Clearwater Analytics
Mumbai, IND
Full-time
Senior · 6–12 years experience
Onsite
Discovered 2 weeks ago
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Full Job Posting

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

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