Software Engineering, DevOps/SRE and Distributed Systems. I trim your AWS spend, harden infrastructure and unblock shipping velocity.
Start with a low-risk, high-impact engagement. Part-time availability with limited slots.
A low-risk path to a production-ready AWS foundation.
Focused assessment with a prioritized plan and quick wins ready to execute.
Launch package for startups: idea → MVP → production, with strong architecture and delivery foundations. If you don’t have a cloud foundation yet, start with AWS Launchpad.
CI/CD, safe deployments and automation to increase release cadence without breaking prod.
Ship an MVP or a critical feature end to end (including deployment).
Hands-on implementation to make production observable: metrics, logs, tracing and actionable alerting.
No fluff: metrics, deliverables, and measurable improvements.
AWS savings: identify and execute quick wins (rightsizing, autoscaling, Savings Plans/RI, storage).
Reliability: fewer incidents with SLOs, actionable alerts, runbooks and resilience (idempotency, retries, DLQs).
Shipping speed: safer, more frequent releases (CI/CD, blue/green, canary, fast rollback).
Results depend on context. Estimates are validated during the initial assessment.
Cloud-native tooling across infrastructure, software delivery and automation.
AWS
Kubernetes
Docker
Terraform
Java
Go
Python
GitHub
GitLab
PostgreSQL
Redis
ECS
Lambda
Grafana
Datadog
And more...
Pragmatic engagements built to speed up delivery, cut costs and guarantee reliability.
Design and delivery (APIs, integrations, automation), data stores, caches and queues, Terraform, deployments on AWS (EKS/ECS/EC2/Lambda), monitoring and cost optimization.
Pipelines on GitHub/GitLab/Azure/Bitbucket, blue/green/canary releases, secret management and deployments to Kubernetes or ECS.
Tuning compute, databases, messaging and security (IAM/secrets/networking). I flag oversized resources, misconfigurations and single points of failure. If there’s room, we prioritize quick wins and structural changes that impact costs.
Idempotency, retries, DLQs and duplicate prevention. Concurrency, throughput and latency improvements plus practical observability (metrics + tracing).
I'm Facundo Agustín Fernández, a Software Engineer with about 4 and a half years of professional experience across the full delivery cycle: architecture, implementation, deployments, monitoring and continuous evolution.
I focus on cloud-hosted distributed systems. I work on event-driven microservices, solve synchronization/latency issues and add resilience + idempotency so systems stay steady under failure.
I blend Software Engineering with DevOps/SRE: mission-critical AWS infrastructure, multiregion topologies and disaster recovery. Strong background in CI/CD, Kubernetes, IaC and cloud security.
My drive: design dependable, scalable, production-ready software that keeps working when things get rough.
Technical review and shared definition of the goal.
Scope, architecture, deliverables and timeline.
Implementation, documentation and before/after metrics.
I prefer clear deliverables: audits/sprints with a defined scope. The first call is free. Then we align scope, timeline and working model.
Yes. It’s common in consulting. I can also anonymize cases and metrics.
I can coordinate across LATAM/Europe hours depending on the project.
Book a 30-minute intro call or reach out directly.
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