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.