Experience - 10 years for Staff Engineer (Lead) and 6 years for Senior Software Engineer
Proficient in the following AWS services with hands on experience: EC2 Lambda DDB and S3
Exposure to AWS services like Kinesis Firehose Cloud watch Aurora Step Functions CDK Cloud Formation
Proficient in at least one of the 2 tech stacks: TypeScript/ - Primary and Preferable or C#/.Net
Experience designing APIs and service contracts
Familiarity with event-driven architectures
Hands-on experience with CI/CD and IaC pipelines
Distributed systems and Microservices
Design and integrate AI-assisted features into workflow and platform services such as:
Workflow and rules inference from structured and semi-structured inputs
Intelligent routing classification and recommendations within workflows
AI-assisted validation schema evolution and decision support
Partner with platform and security teams to ensure safe explainable and compliant AI usage.
Calling LLMs or AI services from long-running workflows
Handling retries fallbacks and determinism in AI-driven steps
Versioning and auditing AI-influenced decisions
Evaluate build vs buy options for AI services (managed cloud services vs internal capabilities
Required Experience:
IC
Experience - 10 years for Staff Engineer (Lead) and 6 years for Senior Software EngineerProficient in the following AWS services with hands on experience: EC2 Lambda DDB and S3Exposure to AWS services like Kinesis Firehose Cloud watch Aurora Step Functions CDK Cloud FormationProficient in at least o...
Experience - 10 years for Staff Engineer (Lead) and 6 years for Senior Software Engineer
Proficient in the following AWS services with hands on experience: EC2 Lambda DDB and S3
Exposure to AWS services like Kinesis Firehose Cloud watch Aurora Step Functions CDK Cloud Formation
Proficient in at least one of the 2 tech stacks: TypeScript/ - Primary and Preferable or C#/.Net
Experience designing APIs and service contracts
Familiarity with event-driven architectures
Hands-on experience with CI/CD and IaC pipelines
Distributed systems and Microservices
Design and integrate AI-assisted features into workflow and platform services such as:
Workflow and rules inference from structured and semi-structured inputs
Intelligent routing classification and recommendations within workflows
AI-assisted validation schema evolution and decision support
Partner with platform and security teams to ensure safe explainable and compliant AI usage.
Calling LLMs or AI services from long-running workflows
Handling retries fallbacks and determinism in AI-driven steps
Versioning and auditing AI-influenced decisions
Evaluate build vs buy options for AI services (managed cloud services vs internal capabilities
Required Experience:
IC
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