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Software Development Engineer

Clearwater Analytics
Noida, IND
Full-time
Mid · 4+ years experience
Onsite
Discovered Today
awsazurecloudformationgcpgrpcjava

Full Job Posting

Responsibilities

  • · Design, build, deploy, and maintain quality code that is simple, well-structured, clear, and well-tested.
  • · Break down and solve complex problems that require research or collaboration.
  • · Build and evolve microservices and APIs, with attention to performance, scalability, reliability, and security.
  • · Apply multiple levels of automated testing (unit, integration, contract, end-to-end).
  • · Initiate design and feature discussions, advocating for improvements in software quality.
  • · Coordinate with other teams to ensure successful integration of software applications.
  • · Troubleshoot and resolve production incidents quickly and effectively, and participate in on-call.
  • · Mentor new and less-experienced team members.
  • · Understand and address customer needs and issues with empathy and timeliness.
  • · Communicate effectively regardless of medium, audience, or timing.
  • · Perform other reasonable duties as required by management.

Required Qualifications

  • · Degree in computer science, engineering, or a related field.
  • · 4+ years of software development experience in Java or another typed, object-oriented backend language (e.g., Python, Go).
  • · Experience building services using microservices and distributed-system patterns (REST/gRPC APIs, messaging).
  • · Experience with a public cloud (AWS, Azure, or GCP), CI/CD, and production monitoring.
  • · Working knowledge of relational and/or NoSQL data stores.
  • · Strong command of automated testing and software engineering best practices.
  • · Strong analytical and problem-solving skills, with attention to detail.
  • · Clear written and verbal communication, and good documentation habits.
  • · Commitment to continuous learning, client satisfaction, and teamwork in a SaaS environment.

Preferred Qualifications

  • · Exposure to AI/ML or LLM-based features, or interest in applying AI to engineering workflows.
  • · Experience with containers and Kubernetes, or infrastructure as code (Terraform, CloudFormation).
  • · Experience with event streaming (Kafka, SQS, etc.) and observability tooling.
  • · Familiarity with financial services or investment data.

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