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I am a Senior Software Engineer with 10+ years building distributed cloud platforms across healthcare, enterprise SaaS, and regulated environments. I focus on backend systems, platform infrastructure, and cloud architecture using .NET and Python, with experience designing microservices, event-driven architectures, and observability on Azure and AWS. More recently I have worked on enterprise AI systems that combine LLM models with internal data sources through secure retrieval pipelines and governance controls, building scalable, production-grade solutions that operate reliably at scale.…I am a Senior Software Engineer with 10+ years building distributed cloud platforms across healthcare, enterprise SaaS, and regulated environments. I focus on backend systems, platform infrastructure, and cloud architecture using .NET and Python, with experience designing microservices, event-driven architectures, and observability on Azure and AWS. More recently I have worked on enterprise AI systems that combine LLM models with internal data sources through secure retrieval pipelines and governance controls, building scalable, production-grade solutions that operate reliably at scale.

Robert Romano

Back-End Developer, Full Stack Developer, Web Developer, +2

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I am a Senior Software Engineer with 10+ years building distributed cloud platforms across healthcare, enterprise SaaS, and regulated environments. I focus on backend systems, platform infrastructure, and cloud architecture using .NET and Python, with experience designing microservices, event-driven architectures, and observability on Azure and AWS. More recently I have worked on enterprise AI systems that combine LLM models with internal data sources through secure retrieval pipelines and governance controls, building scalable, production-grade solutions that operate reliably at scale.…I am a Senior Software Engineer with 10+ years building distributed cloud platforms across healthcare, enterprise SaaS, and regulated environments. I focus on backend systems, platform infrastructure, and cloud architecture using .NET and Python, with experience designing microservices, event-driven architectures, and observability on Azure and AWS. More recently I have worked on enterprise AI systems that combine LLM models with internal data sources through secure retrieval pipelines and governance controls, building scalable, production-grade solutions that operate reliably at scale.

Available to hire

I am a Senior Software Engineer with 10+ years building distributed cloud platforms across healthcare, enterprise SaaS, and regulated environments. I focus on backend systems, platform infrastructure, and cloud architecture using .NET and Python, with experience designing microservices, event-driven architectures, and observability on Azure and AWS. More recently I have worked on enterprise AI systems that combine LLM models with internal data sources through secure retrieval pipelines and governance controls, building scalable, production-grade solutions that operate reliably at scale.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Language

English

Fluent

Work Experience

Senior Software Engineer at Datadog

July 1, 2023 - Present

Designed and implemented event-driven backend services in .NET and Python for Datadog's AIOps platform, analyzing telemetry streams (metrics, logs, traces) to generate anomaly signals across AWS and Kubernetes environments. Built Docker- and Kubernetes-deployed microservices that correlate signals to identify root causes during production incidents. Implemented asynchronous event-processing pipelines to aggregate signals and trigger automated incident investigation workflows. Enhanced signal quality with anomaly scoring and filtering to reduce alert noise, and integrated with Datadog telemetry ingestion pipelines for high-volume processing and real-time observability. Also developed GenAI-assisted incident analysis services that summarize telemetry signals, correlate events, and generate root-cause explanations, plus automation workflows for diagnostic and remediation tasks in Kubernetes-based environments.

Senior Software Engineer at Microsoft

June 1, 2021 - June 1, 2023

Developed backend APIs in .NET and Python for the Azure AI Platform orchestrating Azure OpenAI models with enterprise document repositories to power retrieval-augmented generation workflows for secure enterprise knowledge systems. Created orchestration services for prompt execution, document retrieval, and model inference across distributed AI services on Azure. Implemented secure identity and access control using Azure Active Directory, OAuth, and RBAC to enforce tenant isolation and data protection in AI workloads. Built document indexing pipelines with vector search and semantic retrieval to enable scalable enterprise knowledge search and contextual AI responses. Implement governance, monitoring, and audit logging for prompt activity, model usage, and data access compliance. Delivered secure API services enabling enterprise applications to integrate AI capabilities while meeting authentication and regulatory controls.

Senior Software Engineer at Optum

November 1, 2017 - May 1, 2021

Migrated legacy ASP.NET healthcare systems into containerized microservices as part of the Healthcare Cloud Transformation platform using .NET Core, Docker, and Kubernetes across Azure and AWS. Designed distributed backend services that process healthcare claims workflows and high-volume operational transactions across multiple internal systems. Built event-driven integration services and REST APIs that synchronize healthcare data between legacy enterprise platforms and modern cloud services. Implemented CI/CD pipelines with Azure DevOps that automated container builds, testing, and deployments for cloud-native healthcare platform services. Improved platform reliability by introducing Kubernetes orchestration, service health monitoring, and automated recovery mechanisms for production workloads.

Software Engineer at Flatiron Health

July 1, 2014 - October 1, 2017

Built ASP.NET backend APIs for the Oncology Data Platform that exposed clinical oncology datasets through secure REST endpoints used by internal analytics systems and clinical research applications. Developed ETL pipelines in .NET and SQL Server that ingest, validate, and normalize clinical treatment data from hospitals and healthcare providers for downstream analytics systems. Designed relational database schemas and indexing strategies in SQL Server to support secure storage and efficient querying of oncology treatment and patient datasets. Implemented backend services supporting regulatory reporting and clinical analytics workflows while maintaining strict healthcare data integrity and compliance. Collaborated with data engineering and analytics teams to maintain reliable ETL pipelines and backend services powering oncology research and healthcare data analysis platforms.