Sr. Software Development Engineer

Senior Software Development Engineer

PC Team | Clearwater Analytics

Job Summary

As a Senior Software Development Engineer on the team, you will design and build distributed, microservices-based applications that power Clearwater's platform [and core investment records]. You will provide technical leadership, mentor engineers, and drive complex systems from design through production. Success in this role requires strong problem-solving, clear communication, excellent coding ability, and a collaborative approach.

Responsibilities

· Provide technical leadership and strategic direction for the team.

· Lead the design, implementation, documentation, deployment, and adoption of scalable, resilient distributed systems and microservices.

· Design well-factored APIs and event-driven integrations between services, with attention to performance, fault tolerance, and backward compatibility.

· Ensure data integrity, security, and observability across services, and secure handling of sensitive financial data.

· Break down quarterly deliverables into well-organized stories, weaving in reliability, scalability, security, and performance.

· Mentor less-experienced engineers through code reviews, design reviews, and guidance.

· Work with product and clients to uncover internal and external user needs.

· Track and communicate team metrics (delivery, quality, operational health).

· Get proactively involved in urgent issues and propose effective solutions; own on-call and operational excellence.

· Take on unowned work that improves team velocity and quality.

· Stay current with industry trends and emerging technologies, and evaluate their fit.

· Perform other reasonable duties as required by management.

Required Qualifications

· Bachelor's or master's degree in engineering, computer science, or a related field.

· 7+ years of enterprise software development in Java or another backend language (e.g., Python, Go).

· Experience designing and implementing distributed systems using microservices and event-driven architectures.

· Professional experience running production systems on a public cloud (AWS, Azure, or GCP), including containers, CI/CD, and observability.

· Strong data modeling skills and experience with relational and NoSQL data stores.

· Experience with APIs (REST/gRPC), messaging/streaming (Kafka, SQS, etc.), and designing for scalability and resilience.

· Strong analytical and problem-solving skills, with excellent attention to detail.

· Excellent written and verbal communication, and strong documentation habits.

· Commitment to continuous learning, client satisfaction, and teamwork in a SaaS environment.

Preferred Qualifications

· Exposure to AI/ML or LLM-based features (RAG, embeddings, prompt engineering) or interest in applying AI to engineering workflows.

· Familiarity with financial services, investment accounting, or fixed-income data.

· Experience with data governance, privacy, and regulatory/compliance requirements.

· Infrastructure as code (Terraform, CloudFormation) and Kubernetes experience.

· Track record of technical mentorship and leading cross-team initiatives.