Location: Maryland, USA

Remote: Yes

Willing to relocate: No

Technologies:

    AI Platform & LLM Systems: RAG architectures, LLM orchestration, control planes, routing & fallback logic, evaluation frameworks (Langfuse, deepeval), trace-level observability, prompt/version management, context engineering, agentic workflows

    Distributed Systems & Infrastructure: High-availability design, autoscaling concepts, failure modeling, SLO/SLA enforcement, load balancing (HAProxy/Nginx), Kubernetes, Docker, cloud-native architectures(AWS/GCP/Azure), Rackspace, Terraform, Ansible, Chef, Linux, Solaris, ZFS

    Systems Design & Leadership: Architecture Reviews, Design RFCs, Failure Modeling, Incident Postmortems, Cross-team platform enablement

    Languages: Python, SQL, Bash

    Databases: PostgreSQL (expert: performance tuning, query optimization, replication, partitioning, migrations, security), MySQL (strong: performance tuning, optimization), CockroachDB, Cassandra, MS SQL Server, Oracle

Résumé/CV: https://paste.centos.org/view/1edc49af

Email: psinghpayal@outlook.com

Summary: Over a decade of experience scaling distributed systems in production, designing reliable systems around critical processess, and optimizing for performance, security, robustness, and efficiency. If you want someone who can come in and build production-ready AI systems/agents, I'm the one you're looking for :)