Java, JavaScript, TypeScript, cloud, and distributed systems.
Gustavo Possebon
Backend-heavy product engineering for cloud platforms, enterprise systems, and AI-enabled workflows.
From identity platforms and healthcare systems to WhatsApp automation and enterprise communications, I help teams turn complexity into dependable product delivery.
Full stack engineer focused on scalable systems, cloud delivery, and AI-enabled product workflows.
Based in Brazil, building for remote-first teams. Available for senior engineering roles where reliability and product impact matter.
Enterprise communications architecture at national scale.
Operational automation at Zenvia with high availability targets.
Reliable production systems across messaging and IAM platforms.
Engineering work that holds up in production
Most of my best work lives in the middle of architecture, delivery, and operational pressure. I like products where the software needs to be trustworthy, not just impressive in a demo.
Cloud-native product engineering
I work comfortably where product needs meet infrastructure reality, designing systems that stay fast, stable, and observable as they grow.
- Distributed architectures with service boundaries that support fault isolation.
- Production workloads on Kubernetes, GCP, AWS, and containerized pipelines.
- Monitoring, incident response, and delivery habits that keep SLAs realistic.
Performance and reliability work
A lot of my value comes from reducing friction inside existing systems, whether that means faster queries, lower operational overhead, or stronger test coverage.
- Caching, messaging, and platform integration with Redis, RabbitMQ, Kong, and Keycloak.
- Batch workloads, large dataset processing, and scheduled enterprise jobs.
- Quality improvements through testing, code reviews, and architecture guardrails.
Applied AI in real product flows
I care less about demos and more about where AI actually improves setup time, support quality, and operator efficiency inside the product.
- OpenAI-powered automation for chatbot setup and content retrieval.
- Practical AI integrations inside support and communications workflows.
- Delivery focused on measurable gains instead of novelty alone.
Resume highlights turned into outcomes recruiters can scan fast
These are the signals I want a hiring team to see early: measurable improvements, production responsibility, and systems work that translates into real business value.
Chatbot setup accelerated
Streamlined chatbot deployment at Zenvia with OpenAI-powered automation, enabling faster launches for new conversational flows.
Filtering performance improved
Introduced a Redis caching strategy at Senior Sistemas that reduced average query time from 500ms to 200ms in high-volume operations.
Messaging platform reliability
Led work in the WhatsApp integration squad at Zenvia while improving system response time from 4 seconds to 1.2 seconds.
Security and platform quality
Raised code quality and reliability in identity and access management systems through testing standards, reviews, and maintainability work.
A recruiter-safe view of the projects behind the resume
The strongest stories in my background come from team and employer environments, so these case studies focus on challenges, constraints, technical decisions, and outcomes rather than confidential product visuals.
Enterprise communications at national scale
Supporting a customer communications management platform used by a nationwide insurance operation with more than seven million customers.
Identity, access, and performance improvements
Worked in the architecture team on authentication and high-volume domain filtering across a multi-product enterprise platform.
AI-enhanced chatbot operations and WhatsApp flows
Built and optimized automation products powering chatbot operations, WhatsApp integration, and support efficiency.
A timeline built from the actual resume
The full experience page goes deeper, but this gives a quick picture of the kinds of systems, teams, and industries I have worked in.
Senior Software Engineer
Engineering on SulAmerica Seguros' customer communications management platform for a national-scale customer base.
- Maintaining a distributed architecture with more than 20 microservices for enterprise communication workflows.
- Building batch processing pipelines with Spring Batch for large CSV datasets and scheduled jobs.
- Integrating with external providers including Valid, Quadient, and Sensedia.
- Working across Kubernetes and Google Cloud Platform services such as Pub/Sub, Cloud Storage, Cloud Scheduler, and GKE.
Senior Software Engineer
Built identity, access, and data-filtering capabilities in the architecture team for a multi-product enterprise platform.
- Implemented SAML, LDAP, and Keycloak-based authentication across 50+ applications.
- Delivered the Abrangencia domain filter feature with Redis caching and production-ready test coverage.
- Reduced average response times by 60% and improved throughput for high-volume filtering operations.
- Supported monitoring and operational excellence with RabbitMQ, Kong, Grafana, Kibana, and Terraform.
Full Stack Engineer
Worked on conversational platforms and WhatsApp integrations serving large automation and support operations.
- Managed automated chatbot flows handling more than one million monthly interactions.
- Built WhatsApp-based 2FA that reduced fraud and unauthorized access attempts by over 70% in the first six months.
- Improved average response time from 4 seconds to 1.2 seconds while maintaining 99.95% availability.
- Introduced OpenAI-powered automation and AI-assisted history retrieval to improve setup speed and support resolution.
Full Stack Engineer
Delivered software improvements for healthcare and enterprise clients, with a focus on performance and usability.
- Implemented Java and Angular enhancements for Philips Healthcare based on international client requirements.
- Supported a healthcare EMR environment with 99.98% uptime expectations.
- Built an API and micro frontend solution for Ambev's FAQ workflows.
- Optimized PL/SQL queries down to roughly 400ms through indexing and query restructuring.
Breadth across the stack, strongest leverage in systems work
I can ship across frontend and backend, but the thread through my experience is reliable product engineering under real production constraints.
Backend and architecture
The systems side of my work is where I create the most leverage.
Frontend and product delivery
I ship across the stack when the product needs end-to-end ownership.
Cloud, data, and operations
I work best in environments where observability and scale matter.
Looking for a senior engineer who can operate across product and platform?
I am open to conversations about backend-heavy full stack roles, platform engineering work, and teams that value reliability, delivery quality, and pragmatic architecture.
Quick facts
- Bachelor's Degree in Software Engineering, PUCRS (Graduated Jan 2022)
- Portuguese (Native)
- English (Advanced)
- GitHub: Possebas
- Open to work in Europe, Australia, Finland, and other countries with strong environments for software engineers, including Italy.