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.