Software, Cloud, AI & Embedded Systems

Engineering Staff Augmentation for Complex Technical Roadmaps.

Deploy pre-evaluated principal architects, full-stack engineers, cloud infrastructure specialists, and embedded developers. Scale sprint capacity without lowering hiring bars or risking technical debt.

Nearshore Engineering Models

Core Engineering Competencies

Our talent network is structured around high-impact technical disciplines requiring deep architectural maturity.

Cloud & Distributed Systems

Backend & Infra

Microservices architectures, event-driven streaming (Kafka), high-throughput Go/Rust APIs, and multi-region Kubernetes deployments.

Go Rust K8s AWS
Modern Web & Mobile

Frontend & Apps

High-performance React/Next.js architectures, complex state management, cross-platform React Native, and native iOS/Android development.

TypeScript React Next.js Swift
Data & AI Systems

Data Engineering

Scalable ETL pipelines, Snowflake/Databricks data warehouses, vector database integrations, and machine learning inference deployment.

Python dbt Snowflake PyTorch
Embedded & Systems

Firmware & IoT

Bare-metal C/C++, RTOS firmware development, hardware-in-the-loop validation, and industrial IoT communication protocols.

C/C++ RTOS BLE/CAN FPGA

Engineering Staffing FAQ

What technical stacks and languages does Corvus support?

Corvus provides verified specialists across modern stacks including TypeScript, Node.js, Python, Go, Rust, Java, C/C++, AWS, Kubernetes, Terraform, React, and specialized AI/ML frameworks like PyTorch.

How does technical vetting work for engineers?

Candidates complete hands-on coding evaluations, architecture walkthroughs, and code review assessments led by senior engineering leaders prior to client presentation.