92%
Lower service cost
An organisation-wide migration that made metric instrumentation self-service.
Sudeepto Mukhopadhyay
Engineering
the invisible.
Making an impact.
Lead Site Reliability Engineer. Systems thinker.
I build the infrastructure you don’t see,
so the products you use don’t let you down.
Lead SRE · Protex AIBUILDING RELIABILITY
Previously at MetaENGINEERING AT SCALE
DISTRIBUTED BY DESIGN
Connected systems.
Thoughtful engineering.
Connected systems.
Thoughtful engineering.
EXPLORE MY WORK ↓
DUBLIN, IRELAND
SOFTWARE × INFRASTRUCTURE × RELIABILITY
SOFTWARE × INFRASTRUCTURE × RELIABILITY
Experience across
ambition and scale
ambition and scale
Protex AI NOW
Meta
Karza
Infosys
01 / THE DIFFERENCE IS MEASURABLEComplex problems.
Complex problems.
Concrete outcomes.
Reliability is more than keeping the lights on. It’s giving people their time back and making the next challenge easier.
90%
Less time on asset scans
Infrastructure workflows redesigned to remove repetitive manual effort.
10M+
Records migrated
Backend engineering for data systems where scale is part of the job.
02 / SELECTED ENGINEERINGBehind the systems.
Behind the systems.
Ahead of the problems.
From building a reliability function to automating datacenter operations at global scale.
01 — OBSERVE. UNDERSTAND. ACT.
PROTEX AI · LEAD SREBuilding reliability
Building reliability
from the foundation up.
Established and scaled the SRE function, then led an organisation-wide platform migration that cut service cost by 92% and made metric instrumentation self-service.
02 — ENGINEERING AT DATACENTER SCALE
META · PRODUCTION ENGINEERINGSmall improvements.
Small improvements.
Extraordinary scale.
Built datacenter tooling that caught issues earlier, accelerated asset workflows, and helped infrastructure teams bring capacity online faster.
03 / THE PATH SO FARDifferent scales.
Different scales.
One engineering
instinct.
Understand the system. Find the friction. Build something that makes it better.
Protex AI
Lead Site Reliability EngineerBuilding the SRE function, improving observability, and leading an organisation-wide platform migration that cut service cost by 92% while making metrics self-service.
Meta
Production EngineerDatacenter automation, infrastructure tooling, and performance optimization. Turning operational challenges into repeatable engineering solutions.
Karza Technologies
Software EngineerServerless APIs, large data migrations, and Elasticsearch optimization. Mentored engineers and modernized Python services.
Infosys
Systems EngineerAutomated Unix operations and reporting, reducing recurring job failures by 60%.
04 / CURIOSITY DOESN’T CLOCK OUTMy home.
My home.
My living lab.
Home Assistant is where my passion for systems becomes personal: making everyday spaces more thoughtful, connected, and useful.
A PERSONAL PASSION
Home Assistant
I enjoy making everyday devices work together—from presence sensing and lighting automations to small ESPHome projects.
05 / THE HUMAN IN THE SYSTEMCuriosity is
Curiosity is
my default setting.
01
Make systems understandable.
Clarity is an operational advantage.
02
Automate the repeatable.
Save human attention for the hard problems.
03
Measure what changes.
Good engineering has a visible outcome.
I’m Sudeepto, a Dublin-based engineer working where software meets infrastructure.
I’ve worked across growing teams and global production environments. I enjoy understanding how the pieces fit together—and finding the simplest way to make them work better.
Python is my home ground. My work takes me across cloud infrastructure, distributed systems, observability, and the people who depend on them.
PythonAWSKubernetesTerraformDockerLinuxGrafanaPostgreSQLKafkaFastAPIReact
B.E. ELECTRONICS & TELECOMMUNICATIONUNIVERSITY OF MUMBAI · 2017
Great systems start
with a conversation.
Working on a meaningful infrastructure challenge?
Let’s talk about reliability, engineering, and what comes next.