Software Development Engineer

Role Overview

As a Software Development Engineer on the team, you will design, build, and operate distributed, microservices-based applications that power Clearwater's platform. You will write high-quality, well-tested code, solve complex problems with your teammates, and help mentor newer engineers. Success in this role requires strong problem-solving, clear communication, excellent coding ability, and a collaborative approach.

About the Team

Our team builds and operates scalable, resilient microservices and distributed applications that serve Clearwater clients. We work in a cloud-native environment and partner closely with product and client-facing teams.

Responsibilities

• Design, build, deploy, and maintain quality code that is simple, well-structured, clear, and well-tested.
• Break down and solve complex problems that require research or collaboration.
• Build and evolve microservices and APIs, with attention to performance, scalability, reliability, and security.
• Apply multiple levels of automated testing (unit, integration, contract, end-to-end).
• Initiate design and feature discussions, advocating for improvements in software quality.
• Coordinate with other teams to ensure successful integration of software applications.
• Troubleshoot and resolve production incidents quickly and effectively, and participate in on-call.
• Mentor new and less-experienced team members.
• Understand and address customer needs and issues with empathy and timeliness.
• Communicate effectively regardless of medium, audience, or timing.
• Perform other reasonable duties as required by management.

Required Qualifications

• Degree in computer science, engineering, or a related field.
• 4+ years of software development experience in Java or another typed, object-oriented backend language (e.g., Python, Go).
• Experience building services using microservices and distributed-system patterns (REST/gRPC APIs, messaging).
• Experience with a public cloud (AWS, Azure, or GCP), CI/CD, and production monitoring.
• Working knowledge of relational and/or NoSQL data stores.
• Strong command of automated testing and software engineering best practices.
• Strong analytical and problem-solving skills, with attention to detail.
• Clear written and verbal communication, and good documentation habits.
• Commitment to continuous learning, client satisfaction, and teamwork in a SaaS environment.

Preferred Qualifications

• Exposure to AI/ML or LLM-based features, or interest in applying AI to engineering workflows.
• Experience with containers and Kubernetes, or infrastructure as code (Terraform, CloudFormation).
• Experience with event streaming (Kafka, SQS, etc.) and observability tooling.
• Familiarity with financial services or investment data.

Company

Thank you for your interest in a career with Clearwater! Clearwater Analytics (NYSE: CWAN) is transforming investment management with the industry's most comprehensive cloud-native platform for institutional investors across global public and private markets. While legacy systems create risk, inefficiency, and data fragmentation, Clearwater's single-instance, multi-tenant architecture delivers real-time data and AI-driven insights throughout the investment lifecycle. The platform eliminates information silos by integrating portfolio management, trading, investment accounting, reconciliation, regulatory reporting, performance, compliance, and risk analytics in one unified system. Serving leading insurers, asset managers, hedge funds, banks, corporations, and governments, Clearwater supports over $8.8 trillion in assets globally. Learn more at www.clearwateranalytics.com.

Studies have shown that women and people of color are less likely to apply to jobs unless they meet every single qualification. We are dedicated to building a diverse, inclusive and authentic workplace, so if you're excited about this role but your past experience doesn't align perfectly with the job description, we encourage you to still apply! You may be just what we're looking for.