Open to opportunities

Jainor Cardenas

@jainor

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Senior Cloud/DevOps Engineer specializing in SRE, security, observability, and reliable CI/CD.

Peru

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What I'm looking for

I’m actively seeking remote opportunities as a Cloud/DevOps/SRE or Kubernetes-focused engineer—where I can build reliable infrastructure, improve CI/CD, strengthen security and observability, and lead production reliability and incident troubleshooting.

I’m a Senior Cloud/DevOps Engineer with 10+ years in infrastructure and 8+ years in DevOps practices, delivering scalable cloud infrastructure across AWS, GCP, and Azure. I design and automate production environments with Terraform and cloud-native services (Lambda, ECS, API Gateway, Kubernetes, Docker), building CI/CD pipelines and observability with Prometheus/Grafana, CloudWatch, and Azure Monitor.

I’ve worked remotely at Ravn on architecture, infrastructure, security, observability, troubleshooting, and production support, and earlier as a Junior DevOps Consultant providing cloud infrastructure and automation for small projects and independent clients. My background also includes a Google internship focused on backend systems, monitoring, and large-scale infrastructure orchestration.

Experience

Work history, roles, and key accomplishments

Current

Cloud / DevOps Engineer

Current

Ravn

Oct 2021 - Present (4 years 9 months)

Designed cloud architecture and deployed infrastructure with CI/CD across AWS, GCP, and Azure, taking ownership of security, observability, troubleshooting, and production support. Worked with multiple compute, networking, storage, IAM, messaging, and monitoring services for reliability and delivery.

Research Work

Universidade de São Paulo

Jan 2017 - Jan 2021 (4 years)

Conducted thesis research in algorithms, optimization, and computational complexity using large-scale problem solving on an HPC supercomputer. Developed and tested algorithms with C++, Python, and Bash, benchmarking under real HPC environments and producing academic documentation.

Algorithms Optimization Algorithmic Complexity HPC Benchmarking C#Python BASH

Google Internship

B.H. Office

Jan 2018 - Apr 2018 (3 months)

Worked in a storage/backend area to develop an internal resource management tool. Analyzed metrics collected with Elastic MapReduce to build dashboards and used Google Borg cluster management for workload orchestration and monitoring.

MapReduce Dashboards Borg Cluster Management Monitoring C#Go Python

Research Work

Universidad Católica San Pablo

Jan 2014 - Jan 2017 (3 years)

Designed and implemented a persistent data structure project for Voronoi triangulations during graduate studies. Focused on computational geometry, algorithm optimization, and large-scale performance analysis using C++ and Python.

Computational Geometry Optimization Performance Analysis C#Python

Education

Degrees, certifications, and relevant coursework

Universidade de São Paulo (IME-USP)

Master in Computer Science, Computer Science

2017 - 2021

Master in Computer Science at Universidade de São Paulo, Instituto de Matemática e Estatística (2017–2021). Areas of focus included theory of computation, algorithms, combinatorics, and optimization.