Software Development Engineer III
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Before you apply
LocationOffice - Noida
Work modeon-site
Typefull-time
SenioritySenior
Experience4+ yrs
Company size1,001–5,000 people
PostedOct 26, 2026 · 1w ago
Verified live9h ago
At a glanceSummarised by Seekless from the posting.
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
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
Skills
Java
Python
Go
REST
gRPC
AWS
Azure
GCP
CI/CD
Kubernetes
Terraform
CloudFormation
Kafka
SQS
About the role
As a Software Development Engineer on the team, you will design, build, and operate distributed, microservices-based applications that power Clearwater’s platform. You will write high-quality, well-tested code, solve complex problems with your teammates, and help mentor newer engineers. Success in this role requires strong problem-solving, clear communication, excellent coding ability, and a collaborative approach.
About the company
About the Team
Our team builds and operates scalable, resilient microservices and distributed applications that serve Clearwater clients. We work in a cloud-native environment and partner closely with product and client-facing teams.
Responsibilities
Responsibilities
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Design, build, deploy, and maintain quality code that is simple, well-structured, clear, and well-tested.
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Break down and solve complex problems that require research or collaboration.
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Build and evolve microservices and APIs, with attention to performance, scalability, reliability, and security.
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Apply multiple levels of automated testing (unit, integration, contract, end-to-end).
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Initiate design and feature discussions, advocating for improvements in software quality.
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Coordinate with other teams to ensure successful integration of software applications.
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Troubleshoot and resolve production incidents quickly and effectively, and participate in on-call.
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Mentor new and less-experienced team members.
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Understand and address customer needs and issues with empathy and timeliness.
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Communicate effectively regardless of medium, audience, or timing.
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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.