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.
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
* 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.