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.