Henrique Moniz, Developer in Lisbon, Portugal
Henrique is available for hire
Hire Henrique

Henrique Moniz

Verified Expert  in Engineering

Software Developer

Location
Lisbon, Portugal
Toptal Member Since
September 10, 2020

Henrique is a seasoned back-end software engineer and blockchain researcher with a Ph.D. in computer science and a solid background in distributed systems. He has built large-scale systems at Google, Microsoft, and other large companies. As a blockchain researcher at JPMorgan Chase, Henrique led research and implementation on improving Quorum's performance, obtaining a 10x increase in throughput to around 10,000 transactions per second.

Portfolio

JPMorgan Chase
Amazon Web Services (AWS), Python, Distributed Systems, Go, Blockchain
Google
Android, Linux, Cloud, Kubernetes, Python, Distributed Systems, Storage, Java...
NOVA University Lisbon
Large Scale Distributed Systems, Databases, Storage, Distributed Systems...

Experience

Availability

Part-time

Preferred Environment

Node.js, Django, Kubernetes, Blockchain, C, Go, Python, Java, Linux, Distributed Systems

The most amazing...

...project I drove was leading the team at Google that redesigned and implemented the entire distributed storage layer for Google Docs, Sheets, and Slides.

Work Experience

Blockchain Researcher

2019 - 2020
JPMorgan Chase
  • Designed the consensus algorithm that powers the Quorum enterprise blockchain platform.
  • Led a team implementing the core consensus algorithm into Quorum.
  • Led research and implementation on improving Quorum's performance, obtaining a 10x increase in throughput to around 10,000 transactions per second.
Technologies: Amazon Web Services (AWS), Python, Distributed Systems, Go, Blockchain

Tech Lead and Manager, Software Engineer

2014 - 2020
Google
  • Managed a team of approximately 20 engineers responsible for the storage infrastructure of Google Docs, Sheets, and Slides, to name a few.
  • Led the design, implementation, and maintenance of a new large-scale distributed storage layer for the Google Docs suit comprising dozens of billions of documents and well over a billion users.
  • Led the GDPR compliance and data-location efforts for the Google Docs suite.
Technologies: Android, Linux, Cloud, Kubernetes, Python, Distributed Systems, Storage, Java, Google Docs

Postdoctoral Associate

2012 - 2013
NOVA University Lisbon
  • Coordinated a research line dedicated to finding principled approaches to build and analyze distributed storage systems with strong semantics.
  • Designed and implemented Blotter, a geo-replicated distributed storage system that provides strong transactional semantics and low-latency operations.
  • Advised Ph.D. students on their research in the areas of distributed systems, storage, and security.
Technologies: Large Scale Distributed Systems, Databases, Storage, Distributed Systems, Apache Cassandra, Java

Postdoctoral Researcher

2011 - 2012
Microsoft Research
  • Drove the design and development of a distributed transactional engine for large-scale storage systems.
  • Conducted research in the area of distributed storage and database systems.
  • Wrote a simulation engine for distributed concurrency control algorithms.
Technologies: Amazon Web Services (AWS), Distributed Databases, Microsoft SQL Server, Azure, NoSQL

Invited Assistant Professor

2010 - 2011
University of Lisbon
  • Lectured the courses of Network Security and Distributed Systems.
  • Conducted research on distributed systems, wireless ad-hoc networks, and security, publishing more than 20 peer-reviewed scientific papers on those subjects.
  • Developed several EU-funded international research projects.
Technologies: Linux, C++, C, Wireless Networking, Security, Distributed Computing

Blotter: Low Latency Transactions for Geo-Replicated Storage

Most geo-replicated storage systems use weak consistency to avoid the performance penalty of coordinating replicas in different data centers. This departure from strong semantics poses problems to application programmers, who need to address the anomalies enabled by weak consistency. In this paper we use a recently proposed isolation level, called Non-Monotonic Snapshot Isolation, to achieve ACID transactions with low latency. To this end, we present Blotter, a geo-replicated system that leverages these semantics in the design of a new concurrency control protocol. It leaves a small amount of local state during reads to make commits more efficient, combined with a configuration of Paxos, and tailored for good performance in wide area settings. Read operations always run on the local data center, and update transactions complete in a small number of message steps to a subset of the replicas. We implemented Blotter as an extension to Cassandra. Our experimental evaluation shows that Blotter has a small overhead at the data center scale and performs better across data centers when compared with our implementations of the core Spanner protocol and of Snapshot Isolation on the same codebase.
2006 - 2010

Ph.D. in Computer Science

University of Lisbon - Lisbon, Portugal

2004 - 2006

Master of Science Degree in Computer Science

University of Lisbon - Lisbon, Portugal

2000 - 2004

Bachelor of Science Degree in Computer Science

University of Lisbon - Lisbon, Portugal

Libraries/APIs

Node.js

Tools

Google Docs

Frameworks

Django

Paradigms

Distributed Computing

Languages

Java, Python, C, Go, C++

Platforms

Linux, Blockchain, Kubernetes, Android, Amazon Web Services (AWS), Azure

Storage

Databases, NoSQL, Distributed Databases, Microsoft SQL Server

Other

Distributed Systems, Cloud, Large Scale Distributed Systems, Storage, Security, Wireless Networking, Apache Cassandra

Collaboration That Works

How to Work with Toptal

Toptal matches you directly with global industry experts from our network in hours—not weeks or months.

1

Share your needs

Discuss your requirements and refine your scope in a call with a Toptal domain expert.
2

Choose your talent

Get a short list of expertly matched talent within 24 hours to review, interview, and choose from.
3

Start your risk-free talent trial

Work with your chosen talent on a trial basis for up to two weeks. Pay only if you decide to hire them.

Top talent is in high demand.

Start hiring