The Software Development Engineer role at Clearwater Analytics spans a spectrum of responsibilities with a focus on designing, implementing, and managing software systems. The role requires continuous learning and application of new technologies and trends. Engineers at entry-level work on coding, debugging, and learning new software technologies. With progression in this track, the responsibilities expand to include leading teams, designing complex software systems, providing mentorship, and managing cross-functional integration. The more senior roles are responsible for defining the company's technological vision, making strategic decisions, driving innovation, and setting new industry standards. Across all levels, a successful software development engineer will demonstrate strong problem-solving skills, clear communication, excellent coding abilities, a keen understanding of the software ecosystem, and a cooperative team player attitude.
Responsibilities:
Design, build, deploy and maintain Generative AI and Agentic AI based systems.
Effectively break down and solve complex problems that require research or collaboration.
Communicate effectively, regardless of medium, audience, or timing.
Strong command of multiple levels of automated testing (e.g., unit, integration, contract, end-to-end, etc.).
Mentor new and less-experienced team members.
Initiate design and feature discussions, advocating for improvements in software performance, scalability, reliability, and security.
Coordinate with other teams to ensure the successful integration of software applications.
Troubleshoot and resolve production incidents quickly and effectively.
Understand, respond to, and address customer needs and issues with empathy and timeliness.
Any other reasonable activity required by management.
Required Skills:
Proficiency in Java, Python and SQL
Working knowledge of Generative AI, LLM, Agentic AI
Understands LLM frameworks like LangChain / MCP.
Understands RAG.
Expertise in AWS and Terraform.
Deep knowledge of software methodologies, tools, and typical architectural patterns.
Commitment to continuous learning and improvement.
Exceptional analytical skills.
Outstanding verbal and written communication skills.