Cloud infrastructure and data engineering services with blockchain and AI focus
Deqode is a 201–500-person consulting firm built around GCP and AWS infrastructure, data pipelines (Beam, Spark, BigQuery), and emerging AI/blockchain capabilities. The tech stack reveals a dual specialization: heavy data-engineering tooling (Airflow, Dataflow, Spark SQL) paired with Web3 libraries (Solidity, Ethers.js, Web3.js), suggesting they're serving both enterprise cloud-migration and blockchain/Web3 clients. Current hiring is engineering-heavy (37 of 50 open roles) at mid and senior levels, with active projects spanning cloud migration, container platforms, and RAG application development—a pattern consistent with firms scaling service delivery into AI and infrastructure automation.
Deqode is a privately held technology services firm headquartered in San Jose, California, founded in 2016. The company focuses on technical workforce augmentation and business-process optimization through custom software development, cloud migration, and data engineering. Their service areas span infrastructure provisioning (GCP, AWS, Kubernetes, Terraform), ETL/ELT pipeline development at scale, healthcare-focused cloud security architecture, and emerging capabilities in RAG-based applications and AI deployment. They operate primarily with mid and senior-level engineers and are actively hiring across India.
Primary: GCP (Dataflow, BigQuery, Cloud Composer), AWS (RDS, CodePipeline, IAM), Apache Spark/PySpark, Airflow. Secondary: Kubernetes, Docker, Terraform, Jenkins, GitLab. Blockchain: Solidity, Ethers.js, Web3.js.
Cloud migration, scalable ETL/ELT pipelines, container platforms, infrastructure automation (Terraform/Kubernetes), healthcare cloud security, DevSecOps practices, and RAG-based application development.
Deqode'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.