Software Engineering & Development, SrAssc

Job Description
Role Summary
Design, build, and run core services and reusable components for the open-architecture AI platforms, enabling scalable ingestion, metadata-driven processing, governance, and reliable workflow automation. Deliver production-grade capabilities supporting agentic AI solutions
Key Responsibilities

- Design and build backend services and shared libraries that provide platform capabilities, including:

- Streaming & batch ingestion frameworks

- Metadata-driven pipelines

- API and consumption layer integrations

- Implement platform security controls including role-based access control, authentication, and integration with enterprise entitlements

- Build and maintain platform observability (logging, metrics, traces), alerting, and operational dashboards in support of SLAs

- Collaborate with architects to define scalable, extensible designs and ensure adherence to open standards

- Drive engineering excellence through code reviews, automated testing, CI/CD, and production readiness practices

- Ensure platform services meet enterprise security and compliance requirements (SCC, governance)

- Participate in on-call / major incident management and troubleshoot production issues to maintain platform stability
Qualifications

- Strong programming skills in  Python  and  Java ; knowledge of  Rust  is a bonus

- Strong understanding of SQL optimization, execution, and large-scale analytics

- Deep understanding of distributed computing and hyperscale

- Experience building production-grade services in cloud environments;  AWS, GCP and/or Azure  is preferred

- Familiarity with streaming pipelines and  Kafka  is preferred

- Understanding of data modeling and data product design

- Experience with CI/CD, containers, and Kubernetes

- Financial/data platform background preferred but not required

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