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Jose – Microsoft Azure, Kubernetes, AWS, experts in Lemon.io

Jose

From Costa Rica (UTC-6)

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DevOpsSenior
Tech lead
MLOps Engineer
17 years of commercial experience
Aerospace
AI
Analytics
Asset management
Banking
Business intelligence
Construction
Credit and lending
Cybersecurity
Data analytics
Defense
E-commerce
Electronics
Event management
Gambling
Healthcare
IoT
Product management
Proptech
Scientific research
Embedded software
Lemon.io stats
2
projects done
1249
hours worked
1
ongoing project

Jose – Microsoft Azure, Kubernetes, AWS

Meet Jose - a Senior DevOps engineer with 12 years of commercial practice! His background includes contributing to various business areas like asset management, business intelligence and banking, among others. His prior experience setting up highly available and scalable applications on AWS, GCP, and Azure highlights his ownership and leadership skills perfectly!

Jose is the exact blend you have been looking for: his excellent hard skills are complemented well by high-level soft skills, making him a universal asset for your project and a pleasant contribution to the team! So, no time to waste - Jose is ready to meet you and talk business!

Main technologies
Microsoft Azure
5 years
Kubernetes
8 years
AWS
10 years
GCP
8 years
Terraform
8 years
Azure DevOps Server
4 years
Additional skills
Python
Bash
Machine learning
Bitbucket Pipelines
Docker
CI/CD
MLOps
AWS CloudFormation
Serverless Computing
AI
Chroma
GitHub Actions
Amazon ECS
Amazon S3
Firestore
Direct hire
Possible
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Experience Highlights

Senior DevOps / ML Engineer
Jan 2025 - May 20253 months
Project Overview

A cloud-based Laboratory Information Management System (LIMS) that enables labs to streamline their entire testing workflow

Responsibilities:
  • Managed CI/CD pipelines and multi-cloud infrastructure (AWS, GCP) leveraging Kubernetes (EKS, GKE) and containerization best practices.
  • Debugging and optimizing multimodal pipelines and vector database integrations.
  • Designed and maintained cloud infrastructure using Terraform, ensuring reliability, scalability, and rapid deployments.
  • Troubleshot, analyzed, and optimized slow SQL and NoSQL queries to enhance customer application performance and reliability.
  • Implemented monitoring, logging, and alerting strategies to detect and resolve application and infrastructure bottlenecks.
Project Tech stack:
Kubernetes
Chroma
AWS
Serverless Computing
Python
Bash
AI
Senior DevOps Engineer / Platform Engineer
Apr 2024 - Dec 20248 months
Project Overview

The platform makes TV advertising accessible and measurable for brands and apps of all sizes. It offers a self-managed solution that simplifies and automates TV buying and optimization, leveraging massive data to prove the actual value of TV advertising.

Responsibilities:
  • Built and deployed serverless bidding infrastructure leveraging AWS Lambda for real-time client bidding processes.
  • Implemented modular Python functions and event-driven architectures using AWS queues and topics for data analysis, visualization, and external system integration.
  • Led FinOps initiatives, achieving monthly cost savings exceeding $10k through optimized AWS infrastructure usage and monitoring.
  • Automated monitoring and alerts across AWS CloudWatch and external services using Infrastructure-as-Code (Terraform).
  • Managed and optimized CI/CD pipelines for containerized deployments (ECS, EKS, Lambda), fully utilizing infrastructure-as-code methodologies (Terraform, GitHub Actions).
  • Facilitated deployments and integration testing across multiple AI model providers (OpenAI, Google, Anthropic, DeepSeek) in pipeline and infrastructure contexts.
Project Tech stack:
AWS Lambda
Python
AWS
Kubernetes
Machine learning
Data analysis
Data visualization
Terraform
AWS CloudFormation
Senior DevOps Engineer / Platform Engineer
May 2020 - Jun 20244 years
Project Overview

The client was the largest workplace management software company in the world. It provided workplace management software designed to optimize office space and enhance employee experiences. Their SaaS solutions catered to enterprises seeking improved space utilization and operational efficiency across various sectors, including government, healthcare, education, and technology.

The idea was to build a facility management system with on-site sensors processed by the apps, handle asset management using agents on client software and electronic tags, and manage space using smart software for office buildings and small co-located spaces.

Responsibilities:

Jose was responsible for the following:

  • designed, implemented, and managed Azure & AWS cloud infrastructure, developed as code with Terraform, utilizing modules and other third-party IaC tools;
  • built and maintained various pipelines using Azure DevOps and Codefresh, incorporating diverse tasks and plugins;
  • customized business logic within the pipelines using Bash or Python when necessary;
  • oversaw Azure and AWS Kubernetes clusters using GitOps methodologies;
  • carried out infrastructure architecture design, maintenance & support;
  • hired team members across India, USA & Costa Rica.
Project Tech stack:
Azure DevOps
AWS
Terraform
Docker
CI
CD
GitHub
Ansible
Kubernetes
Linux
SQL
Cloud Architecture
Senior DevOps Engineer / Platform Engineer
Dec 2018 - Apr 20201 year 3 months
Project Overview

The client was a prominent global leader in advanced space technology solutions, renowned for its extensive array of commercial satellite imagery services. These services enabled governments and commercial entities to effectively detect changes and develop comprehensive contextual understanding on a large scale.

Responsibilities:

Among others, Jose carried out such tasks:

  • implemented and maintained pipelines from scratch for the aerospace industry, specifically for satellite imagery, utilizing diverse tasks and plugins;
  • tailored business logic within pipelines using Bash or Python;
  • performed AWS Infrastructure architecture design, maintenance & support;
  • sustained self-serving cloud infrastructure platform for scientific and research based on homegrown products.
Project Tech stack:
Jenkins
Kubernetes
Groovy
CI
CD
AWS
Datadog
Unix
Data Security
Senior Middleware Engineer
Jul 2014 - Sep 20173 years 1 month
Project Overview

The client provided integrated hardware and software solutions for engineers and scientists to streamline test and measurement processes. Their products supported automation and control applications across industries like automotive and telecommunications, aiming to accelerate productivity and innovation. Their target audience included professionals seeking customizable tools to enhance efficiency and reduce time to market in engineering projects.

Responsibilities:

Jose's diverse spectrum of duties included the following tasks:

  • utilized experience with GitHub / Helix core, Ansible, serverspec, GoCD and Jenkins to support configuration management and CI/CD pipelines across VMs and containers (Docker);
  • maintained application/web servers in Weblogic, Tomcat, Jboss and Nginx, using his knowledge of web languages like Rails, JavaScript, Java EE and Python/ Bash;
  • took care of installation & configuration of infrastructure monitoring and automation items like Splunk, Nagios, scripting automation with Python/Bash;
  • used case analysis and mock tests, performance tuning, load balancers configurations and DNS configurations.
Project Tech stack:
Kubernetes
Ansible
Web Components
Docker
Apache Tomcat
Nginx
AWS
Python
Bash
Splunk
CI
CD

Education

2018
Information Technology Management
Masters
2012
System Engineering
Bachellors
2023
MLops engineering on AWS
certification
2023
The machine learning pipeline on AWS
certification

Languages

English
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