Open to opportunities

Simone Pezzulla

@simonepezzulla

Message

Backend and DevOps engineer building scalable cloud-native systems and reliable CI/CD.

Italy

Message

What I'm looking for

I’m looking to build and operate reliable, cloud-native backend platforms—owning architecture through production. I want a team where technical leadership matters, CI/CD and observability are first-class, and I can help deliver low-incident services at scale.

I’m a Backend & DevOps Engineer with 5 years of experience, focused on delivering systems at scale (10k+ users) and owning projects end-to-end—from system design to production operations.

At Phoops srl, I act as technical lead for a team of 3 engineers, delivering cloud-native systems end-to-end. I built and operated 15+ microservices using Go, Python, and Node.js, managed CI/CD pipelines with Bitbucket Pipelines, deployed a modern data lake on Google Kubernetes Engine, and implemented cluster monitoring with Prometheus.

Earlier, as a Machine Learning Engineer, I developed an event-driven architecture and conducted R&D on sentiment analysis and user profiling using NLP and image recognition. I designed and deployed trained models as production microservices and built the supporting data-handling infrastructure, bringing an engineering mindset to AI and data.

Experience

Work history, roles, and key accomplishments

Current

Backend and DevOps Engineer

Current

Phoops Srl

Jan 2023 - Present (3 years 6 months)

Served as technical lead for a team of 3 engineers delivering cloud-native systems end-to-end. Built and operated 15+ cloud-native microservices (Go, Python, Node.js) serving 10k+ users, managing CI/CD with Bitbucket Pipelines, deploying a data lake on Google Kubernetes Engine, and implementing Prometheus-based cluster monitoring.

Technical Leadership Cloud Native Microservices Go Python CI CD Bitbucket Pipelines Google Kubernetes Engine Kubernetes Data Lake Prometheus Production Operations

Machine Learning Engineer

Kpi6.com

Jan 2021 - Jan 2022 (1 year)

Developed an event-driven architecture in a marketing startup environment. Conducted R&D on sentiment analysis and user profiling using NLP and image recognition, and designed and deployed trained models as production microservices with underlying data-handling infrastructure.

Event Driven Architecture Machine Learning NLP Sentiment Analysis Profiling Image Recognition Model Development Data Infrastructure R&D

Education

Degrees, certifications, and relevant coursework

University of Florence

Master's in Engineering & Computer Science, Engineering & Computer Science

2023 -

Master’s degree in Engineering & Computer Science at the University of Florence. Relevant coursework included Machine Learning, Image and Video Analysis, Parallel Computing, and Data Mining.

University of Florence

Bachelor's in Engineering & Computer Science, Engineering & Computer Science

2021 -

Bachelor’s degree in Engineering & Computer Science at the University of Florence. Relevant coursework included Algorithms and Data Structures, Database Management, and Operating Systems.