Sr. Software Development Engineer

Clearwater Analytics’ mission is to become the world’s most trusted and comprehensive technology platform for investment reporting, accounting, and analytics.  With our team, you will partner with the most sophisticated and innovative institutional investors around the world. If you are infectiously passionate about what you do, intensely committed to clients, and driven by continuous innovation and improvement... We want you to apply!

A career in Software Development, will provide you with the opportunity to participate in all phases of the software development lifecycle, including design, implementation, testing and deployment of quality software. With the use of advanced technology, you and your team will work in an agile environment producing designs and code that our customers will use every day.

Responsibilities:

• Developing quality software that is used by some of the world's largest technology firms, fixed income asset managers, and custodian banks
• Participate in Agile meetings to contribute with development strategies and product roadmap
• Owning critical processes that are highly available and scalable
• Producing tremendous feature enhancements and reacting quickly to emerging technologies
• Encouraging collaboration and stimulating creativity
• Helping mentor entry-level developers 
• Contributing to design and architectural decisions
• Providing leadership and expertise to our ever-growing workforce
• Testing and validating in development and production code that they own, deploy, and monitor
• Understanding, responding to, and addressing customer issues with empathy and in a timely manner
• Independently can move a major feature or service through an entire lifecycle of design, development, deployment, and maintenance
• Deep knowledge in multiple teams' domains; broad understanding of CW systems. 
• Creates documentation of system requirements and behavior across domains
• Willingly takes on unowned and undesirable work that helps team velocity and quality
• Is in touch with client needs and understands their usage
• Consulted on quality, scaling and performance requirements before development on new features begins.
• Understands, finds, and proposes solutions for systemic problems
• Leads in the technical breakdown of deliverables and capabilities into features and stories.
• Expert in unit testing techniques and design for testability, contributes to automated system testing requirements and design
• Improves code quality and architecture to ensure testability and maintainability
• Understands, designs, and tests for impact/performance on dependencies and adjacent components and services. Builds and maintains code in the context and awareness of the larger system
• Helps less experienced engineers troubleshoot and solve problems
• Active in mentoring and training of others inside and outside their division

Requirements:

• Strong problem-solving skills
• Experience with an object-oriented, or functional language 
• Bachelor’s degree in Computer Science or related field
• Strong problem-solving skills
• 7+ years professional experience in industry-leading programming languages (Java/Python).
• Background in SDLC & Agile practices.
• Experience in monitoring production systems.
• Experience with Machine Learning
• Experience working with Cloud Platforms (AWS/Azure/GCP).
• Experience working with messaging systems such as Cloud Pub/Sub, Kafka, or SQS/SNS.
• Must be able to communicate (speak, read, comprehend, write in English).

Desired Experience or Skills:

• Ability to build scalable backend services (Microservices, polyglot storage, messaging systems, data processing pipelines).
• Possess strong analytical skills, with excellent problem-solving abilities in the face of ambiguity.
• Excellent written and verbal skills. Ability to contribute to software design documentation, presentation, sequence diagrams and present complex technical designs in a concise manner.
• Professional experience in building distributed software systems, specializing in big data and NoSQL database technologies (Hadoop, Spark, DynamoDB, HBase, Hive, Cassandra, Vertica).
• Ability to work with relational and NoSQL databases
• Strong problem-solving skills.
• Strong organizational, interpersonal, and communication skills.
• Detail oriented.
• Motivated, team player.