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.
Skills Required
- Bachelor’s or master’s degree in engineering, computer science, or a related field.
- 7+ years of enterprise software development experience in Java or another backend language such as Python or Go.
- Experience designing and implementing distributed systems using microservices and event-driven architectures.
- Professional experience running production systems on AWS, Azure, or GCP, including containers, CI/CD, and observability.
- Strong data modeling skills and experience with relational and NoSQL data stores.
- Experience with REST or gRPC APIs, messaging or streaming systems such as Kafka or SQS, and scalable, resilient system design.
- Strong analytical and problem-solving skills with excellent attention to detail.
- Excellent written and verbal communication skills and strong documentation habits.
- Commitment to continuous learning, client satisfaction, and teamwork in a SaaS environment.
- Exposure to AI/ML or LLM-based features, including RAG, embeddings, or prompt engineering.
- Familiarity with financial services, investment accounting, or fixed-income data.
- Experience with data governance, privacy, and regulatory or compliance requirements.
- Infrastructure as code experience with Terraform or CloudFormation and Kubernetes experience.
- Track record of technical mentorship and leading cross-team initiatives.
What the Team is Saying
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What We Do
CWAN was founded on a simple belief: investment professionals deserve modern technology that actually works for them. Not legacy systems that slow them down. Not fragmented data that creates confusion. But one comprehensive platform that gives you complete visibility and crystal-clear insights. The result? Investment management that works as seamlessly as your investment strategy. Since our founding in 2004, CWAN has been the trusted technology partner powering the world’s leading institutional investors — from insurance companies, asset managers, and hedge funds to asset owners like corporations, endowments, and pension funds managing over $10 trillion in assets.
Why Work With Us
We continue to grow, fueled by a strong foundation, an ambitious vision, and a commitment to delivering exceptional value to our clients, partners, and team members around the world. What started as a bold idea in Boise, Idaho has rapidly transformed into a global presence. We’ve expanded our footprint significantly—now operating out of 24 offices
Gallery
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Clearwater Analytics (CWAN) Offices
Hybrid Workspace
Employees engage in a combination of remote and on-site work.
