Looking for a job

Nestor Javier Gentil

@nestorjaviergentil

Message

Senior Backend Engineer specializing in scalable cloud-native systems, AI-backed services, and high-throughput APIs.

Argentina

Message

What I'm looking for

I seek remote roles building scalable, secure backend and AI infrastructure—focused on production reliability, low latency/cost, collaborative teams, and measurable impact.

I am a Senior Backend Engineer with 8+ years delivering cloud-native Go and Python microservices, high-throughput REST/gRPC APIs, and reliable distributed systems for fintech, healthcare, and SaaS products.

I build and operate production-grade platforms on AWS/GCP/Azure using Docker, Kubernetes, Terraform, CI/CD, and observability stacks (OpenTelemetry/Prometheus/Grafana). I design cost- and latency-conscious AI backends: vector stores, RAG pipelines, inference serving, and LLM orchestration without focusing on model development.

My work emphasizes security, compliance, and performance: PCI/PHI-aware designs, OAuth2/JWT, auditability, caching, and event-driven patterns. I mentor engineers, drive reliability improvements, and deliver measurable impacts like reduced p95 latency, lower MTTR, and improved relevance for AI features.

Experience

Work history, roles, and key accomplishments

Senior Backend Engineer

Voltaris

Feb 2023 - Sep 2025 (2 years 7 months)

Designed and delivered cloud-native TypeScript and Go backend services and APIs for products serving 50K+ MAU, achieving >99.9% uptime and reducing p95 latency by ~38% through async operations, caching, and autoscaling.

Go TypeScript Docker Kubernetes AWS PostgreSQL Redis Observability

Lead Backend & AI Engineer

Byteworks

Apr 2019 - Oct 2022 (3 years 6 months)

Architected Go and Python microservices, improving p95 latency by 35% and stabilizing ingestion pipelines with ETL/ELT, S3/Parquet lineage, and reproducible snapshots to reduce data errors ~50%.

Go Python fastAPI PostgreSQL Kafka Redis Docker AWS

AI/ML Software Engineer

Twill

Jun 2015 - Mar 2019 (3 years 9 months)

Built LLM-augmented search and retrieval systems using embeddings, hybrid retrieval, and reranking to increase recall@10 by 18% while reducing inference cost via model routing and caching (-27% cost).

Pinecone Faiss Python fastAPI Kubernetes MLFlow Observability

Fullstack Developer

Coexya

Jun 2014 - Mar 2015 (9 months)

Rebuilt and scaled e-commerce backend with Node.js and PHP, improving p95 query latency and CPU utilization through MySQL tuning and background job processing for heavy tasks.