Software Development Engineer

Job Summary

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.

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.