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.
Skills Required
- Degree in computer science, engineering, or a related field.
- 4+ years of software development experience in Java or another typed, object-oriented backend language such as Python or Go.
- Experience building services using microservices and distributed-system patterns, including REST or gRPC APIs and messaging.
- Experience with a public cloud provider such as 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.
- 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 using Terraform or CloudFormation.
- Experience with event streaming such as Kafka or SQS and observability tooling.
- Familiarity with financial services or investment data.
What the Team is Saying
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What We Do
CWAN was founded on a simple belief: investment professionals deserve modern technology that actually works for them. Not legacy systems that slow them down. Not fragmented data that creates confusion. But one comprehensive platform that gives you complete visibility and crystal-clear insights. The result? Investment management that works as seamlessly as your investment strategy. Since our founding in 2004, CWAN has been the trusted technology partner powering the world’s leading institutional investors — from insurance companies, asset managers, and hedge funds to asset owners like corporations, endowments, and pension funds managing over $10 trillion in assets.
Why Work With Us
We continue to grow, fueled by a strong foundation, an ambitious vision, and a commitment to delivering exceptional value to our clients, partners, and team members around the world. What started as a bold idea in Boise, Idaho has rapidly transformed into a global presence. We’ve expanded our footprint significantly—now operating out of 24 offices
Gallery
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Clearwater Analytics (CWAN) Offices
Hybrid Workspace
Employees engage in a combination of remote and on-site work.
