Alexey Sudachen (Software Engineer, Infrastructure & Protocol Development)

Alexey Sudachen

Software Engineer ║ Infrastructure & Protocol Development

Email: alexey@sudachen.name
GitHub: https://github.com/sudachen
LinkedIn: https://linkedin.com/in/sudachen
Time Zone: UTC/GMT-3, Chile

Overview

I’m seeking a Senior Software Engineer remote role at an infrastructure project. The ideal position would require Rust/Go proficiency, a deep understanding of network/system programming, and experience in Web3 and protocol development.

Seasoned Infrastructure & Protocol Engineer with over 10+ years of experience architecting and optimizing high-performance systems, from UEFI drivers to Web3 protocols. As a Founding Engineer, led the end-to-end development of a scalable, blockchain-agnostic indexing system in Rust. Expert in Rust, Go, and low-level systems programming, leveraging an AI-assisted R&D methodology to accelerate prototyping and de-risk innovation.

Skills

Infrastructure & Protocol Development: Rust, Go, Python, Concurrency, Multi-threading and Asynchronous Programming, Low-Level Optimization, P2P networks, Low-latency / Real-Time communication
Blockchain & Web3 Ecosystems: Ethereum, EVM, WASM, Protocol Design (Rollups, Consensus Algorithms)
DevOps, Cloud & Databases: CI/CD (GitHub Actions), Infrastructure as Code (Terraform), Containerization (Docker, Kubernetes, Tilt), PostgreSQL, Observability (ELK, Grafana, Prometheus, Loki), AWS, Google Cloud
AI-Assisted Engineering: AI Spec-driven Software Development, LLM-Augmented Development (GitHub Copilot, WindSurf, Gemini CLI), Research Acceleration (NotebookLM, Gemini Deep Research)

Experience

Senior Software Engineer / Founding Engineer ║ Analog One (Remote) — 2022–2025

Architected and led the end-to-end development of a high-performance blockchain-agnistic analytics GraphQL backend in Rust

Owned the system’s architecture from initial prototype to a highly scalable, production-ready solution, making foundational decisions on the technology stack, data models, and API design.
Engineered a blockchain-agnostic indexer to process over 100,000 data-retrieval triggers per minute from multiple EVM-compatible chains.
Developed a novel SQL mapping mechanism to query and combine data from diverse on-chain (smart contract calls, event triggers) and off-chain (Web2 APIs, RPC) sources.
Architected and implemented a BDD automated testing framework using Gherkin, achieving 90% test coverage for critical paths and significantly reducing pre-deployment defects.
Created the initial CI/CD pipelines on GitHab with Github Actions and AWS deplyment.

Tools & Technologies: Rust, GraphQL, SQL, WASM, PostgreSQL / Aurora, Ethereum Compatible VMs, ABIs and calldata encoding, Docker, AWS, GitHub Actions, Linux

Senior Software Engineer ║ Spacemesh.io (Remote) — 2020–2022

Contributed to go-spacemesh client development, focusing on math libraries and consensus algorithms to optimize blockchain operations. Maintained CI/CD pipelines and integrated advanced telemetry systems for performance tracking.

Tools & Technologies: Rust, Go, Terraform, Kubernetes, ELK, Google Cloud, Linux, Windows, Docker

Data Scientist II ║ Vacasa (Hybrid) — 2018–2020

Built predictive models using Python and SQL, improving forecasting accuracy and operational efficiency. Automated ETL pipelines and managed infrastructure with Terraform, Docker and AirFlow.

Developed and maintained cloud infrastructure for the team.
Developed a user-friendly image labeling tool for employees to validate/verify labels predicted by the machine learning model.
Participated in developing a model/tool for identifying rental properties from photographs.
Optimized Python code using low-level modules.
Participated in developing ETL pipelines.

Tools & Technologies: Python, SQL, Go, Rust/C++ (python extensions), Scala, Jupyter, Redshift, AirFlow, Terraform, AWS, Linux, Docker

Software Developer ║ Remote/Consulting — 2012–2018

Security and perfromance analysis on Ethereum Classic with new rust EVM
R&D at DLP software : Pioneered solutions for encrypted GPT disk operations and implemented UEFI drivers for smartcards and tokens. Developed an abstraction layer for utilizing Windows DLLs in UEFI environments, enhancing system versatility.
- Ported OpenCT and OpenSC libraries to work with smart cards and electronic tokens in UEFI environment.
- Implemented special Verdor smart card / tokens protocols to support cryptography functions in UEFI environment.
- Created DLL loader with basic implementation of required kernel and user DLLs to use certified Windows cryptographic DLLs in UEFI environment.
- Ported several Linux drivers for network cards not supported by UEFI.
- Implemented UEFI disk drivers and improved Windows drivers to boot the system from encrypted GPT disk.

Tools & Technologies: R&D, x86/x64 Assembly, C, C++, Python, Go, Rust, Windows, Linux, Reverse-Engineering, UEFI, Drivers