Alan Rudman
@alanrudman1
Staff Software Engineer specializing in scalable distributed systems, SRE, and AI-assisted platforms.
United StatesWhat I'm looking for
I am a Staff Software Engineer with over 10 years designing and operating highly scalable distributed systems and intelligent data platforms. I have led cloud migrations, built resilient microservice ecosystems, and architected real-time telematics and streaming pipelines that process production-scale telemetry and API traffic.
My recent work includes spearheading high-availability microservices with Java Spring Boot and Go, building a Retrieval-Augmented Generation knowledge base using LangChain/OpenAI/Pinecone, and instituting Datadog observability and SLOs that reduced MTTR by 60%. I also automated CI/CD with Terraform, enabled zero-downtime deployments, and created container security scanning across hundreds of AWS accounts.
I mentor engineering teams, champion SRE practices with blameless post-mortems, standardize architecture decision records, and drive cross-functional collaboration to deliver fault-tolerant, cost-efficient enterprise solutions.
Experience
Work history, roles, and key accomplishments
Spearheaded microservice ecosystem and RAG knowledge base, processing 50M+ daily API requests while maintaining 99.99% availability and reducing MTTR by 60% through observability and SRE practices.
Architected scalable backend services and personalization engines processing millions of events, transitioned services to gRPC to sustain 5x traffic spikes and improved latency and availability across platforms.
Built high-volume streaming pipelines and secure REST APIs for Connected Vehicle Cloud, reducing telemetry latency from hours to seconds and enabling real-time predictive maintenance for millions of vehicles.
Education
Degrees, certifications, and relevant coursework
Texas State University
Bachelor of Science, Computer Science
2008 - 2014
Completed a Bachelor of Science in Computer Science with coursework and projects focused on software engineering, distributed systems, and data processing.
Tech stack
Software and tools used professionally
Availability
Location
United StatesAuthorized to work in
Job categories
Skills
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