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Coderio Tech Stack

Nearshore software development and engineering services across the Americas

Software Development New York, NY 201–500 employees Founded 2017 Privately Held

Coderio is a nearshore software outsourcing firm operating from New York with 201–500 employees across Peru, Brazil, Argentina, Uruguay, Colombia, and Ecuador. The tech stack spans full-stack languages (Go, Python, Java, Node.js), cloud infrastructure (AWS, Azure, Kubernetes, Docker), and a heavy data-science layer (NumPy, SciPy, Jupyter, Snowflake, dbt, Tableau, Power BI). Active hiring is overwhelmingly senior-focused (35 of 46 open roles), concentrated in engineering (36 roles), signaling aggressive delivery on complex projects—particularly legacy modernization (Golang migration, cloud-native refactoring) and healthcare data pipelines at scale.

Tech Stack 172 technologies

Core StackGo Python React AWS NumPy Figma Java Node.js Docker Kubernetes Snowflake dbt SAP Informatica Power BI Tableau Power Apps Power Automate Miro SciPy Jupyter Google Colaboratory Azure QAD SAP APO Blue Yonder Alteryx KNIME Dataiku Spotfire+137 more
AdoptingOpenShift Microsoft Fabric Azure Power Pages
ReplacingGo

What Coderio Is Building

Challenges

  • Refactoring legacy systems for performance
  • Scaling healthcare data pipelines
  • Optimizing legacy system performance
  • Integrating multi-layer software systems
  • Evolving core platform capabilities
  • Migrating legacy golang system
  • Modernizing legacy architecture to cloud-native
  • Managing distributed teams under high-pressure delivery cycles
  • Complex supply chain operations
  • Automating business processes

Active Projects

  • Critical refactoring initiative
  • Core platform evolution
  • Saas products powered by large-scale healthcare datasets
  • Enterprise-grade distributed systems in aws
  • Data-driven features with scientific python libraries
  • Legacy golang services migration
  • Next-generation daas platform
  • Cloud-native modernization initiative
  • Api-first architecture rollout
  • Scalable data products for supply chain analytics

Hiring Activity

Accelerating45 roles · 45 in 30d

Department

Engineering
36
Design
4
Data
3
Marketing
3

Seniority

Senior
35
Mid
6
Lead
5

Notable leadership hires: Tech Lead

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About Coderio

Coderio delivers nearshore software development and managed engineering squads to mid-market and enterprise clients across North America. The company structures engagements from individual engineer augmentation to fully managed development teams, with promised 7-day deployment timelines. The project mix reflects a mix of greenfield work (SaaS platforms, API-first architectures, distributed systems on AWS) and significant modernization work (legacy Golang migration, cloud-native refactoring, healthcare data pipeline scaling). Pain points cluster around legacy system performance, distributed-team coordination under delivery pressure, and complex multi-layer system integration—all typical of firms handling both customer software delivery and internal platform evolution.

HeadquartersNew York, NY
Company Size201–500 employees
Founded2017
Hiring MarketsPeru, Brazil, Argentina, United States, Uruguay, Colombia, Ecuador

Frequently Asked Questions

What tech stack does Coderio use?

Go, Python, React, Java, Node.js, AWS, Azure, Docker, Kubernetes, Snowflake, dbt, and data science tools (NumPy, SciPy, Jupyter). Actively adopting OpenShift and Microsoft Fabric; replacing Go in legacy systems.

What is Coderio working on?

Legacy Golang migration, healthcare SaaS platforms powered by large-scale datasets, cloud-native modernization, distributed systems on AWS, supply chain data products, and API-first architecture rollouts.

How this profile is built

Coderio's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →

This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.