About this role
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.
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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.