IT services and engineering staffing for enterprise cloud migrations
Kodeva is a 51–200-person IT services firm based in Ashburn, VA, founded in 2019, selling into Fortune 100–500 enterprises. The tech stack reveals a polycloud architecture (AWS, Azure, GCP) with modern CI/CD (Jenkins, Nexus, SonarQube) and container orchestration (Kubernetes, Docker), paired with heavy data and AI workloads (Vertex AI, BigQuery, PySpark, Splunk). Active hiring is concentrated entirely in senior engineering roles across the US and Canada, and project scope spans GenAI platform builds, legacy-to-cloud integrations, and aircraft avionics systems—signaling a services firm with deepening technical depth, not just staff augmentation.
Kodeva provides IT consulting, engineering services, and IT recruitment to large enterprises modernizing infrastructure and integrating emerging technologies. The company operates across cloud migration, enterprise AI/ML platform builds, and specialized infrastructure work (networking, avionics integration, data platform modernization). Revenue model combines staff augmentation (IT recruitment with visa sponsorship) and project-based consulting. Client base is skewed toward highly regulated and capital-intensive sectors (aerospace, healthcare, large-scale ecommerce), where integration complexity and compliance demands drive sustained engagement. The firm is self-owned and accelerating hiring.
React, Next.js, AWS, Azure, GCP, Kubernetes, Docker, Jenkins, SonarQube, Splunk, Python, PySpark, Vertex AI, BigQuery, Terraform, and Ansible. Also uses Sanity (headless CMS), NX (monorepo tooling), Redis, Cassandra, and Akamai.
Generative AI platform builds (GenAI/RAG remediation, MLOps governance), ecommerce scalability, cloud migrations, Splunk integration, aerospace avionics software (crew alerting, I/O configuration, cabin connectivity), and enterprise data platform modernization.
Kodeva LLC'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.