Backend Software Engineer | Distributed Systems • Event-Driven • SRE/Observability • GenAI (RAG & Agents)
Backend developer focused on scalable distributed systems, event-driven architectures, and reliability engineering.
I build fault-tolerant services, high-throughput messaging pipelines, and production GenAI systems (RAG + agents), always with strong observability and measurable impact.
- 🎓 Studying Computer Science / ADS (Mackenzie / UNIP — conclusion expected Dec/2027)
- 🧠 Interests: System Design, Concurrency, Messaging, SRE, GenAI
- 🎮 Fun fact: I like video games
Distributed Systems & Backend
- Elixir (BEAM/OTP), Phoenix, Ecto
- C# (.NET 8), Ruby on Rails, TypeScript, Python
- REST, GraphQL, Microservices, CQRS/Event Sourcing (when needed)
Event-Driven & Messaging
- Kafka, RabbitMQ, AWS SQS/SNS, BullMQ, Sidekiq
- Idempotency, DLQ, Circuit Breaker, Backoff + Jitter
SRE & Observability
- OpenTelemetry, Prometheus, Grafana, Loki
- SLIs/SLOs, tracing, metrics, logs, RCA
Cloud & DevOps
- AWS (EKS/EC2/RDS/Lambda), Kubernetes, Docker, Helm
- GitHub Actions, Terraform
Data
- PostgreSQL, Redis, MongoDB, Elasticsearch
- Vector search: pgvector / FAISS / Qdrant (as needed)
Some results I’ve delivered in production environments:
- 📣 Scaled push notification platform to 2M+ active devices with strict delivery and reliability goals
- ⚡ Kept tail latency P95 < 400ms under load peaks with resilient async patterns
- 🚀 Increased system throughput by +35% with event-driven integration and robust semantics
- ⏱️ Reduced a critical workflow from ~20 minutes to ~8 seconds (-75% in response time)
- 🔎 Implemented vendor-neutral observability (MELT) to reduce incident detection and lower MTTR
- Event-driven services & messaging patterns
- GenAI / RAG pipelines
- Observability tooling & infra automation
- Backend APIs and system design exercises
- LinkedIn: https://www.linkedin.com/in/lucas-s-olopes
- Email: olopes.lucas567@gmail.com