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.