Staff augmentation and fractional leadership for enterprise software delivery
Particle41 embeds engineering teams into enterprises as a staffing and advisory model, covering application development, DevOps, data, and fractional CTO roles. The tech stack spans cloud (AWS, Azure, GCP), infrastructure-as-code (Terraform, Pulumi, Ansible, Puppet, Chef), and modern application layers (TypeScript, Python, GraphQL). Current hiring is skewed toward mid-level engineers with lighter management representation, suggesting a model built on specialist practitioners rather than org-building.
Particle41 is a staff augmentation and advisory firm founded in 2015, headquartered in Frisco, TX, with 51–200 employees. The company embeds engineering teams—typically covering application development, DevOps, data engineering, and fractional CTO responsibilities—into mid-market and enterprise clients to accelerate digital initiatives. They work across cloud infrastructure, modern application stacks, and data platforms. Active projects include API development, e-commerce funnel optimization, CRM integration, data lake and warehouse work, and generative AI solutions. The firm hires globally across the United States, India, Mexico, Argentina, and Costa Rica.
AWS, Azure, and GCP. The stack also includes infrastructure-as-code tools like Terraform, Pulumi, Ansible, Puppet, and Chef for managing multi-cloud deployments.
Infrastructure automation (Kubernetes, Docker, Terraform), application development (TypeScript, Python), data platforms (Redshift, Athena, SageMaker), and visualization (Tableau, QuickSight, Power BI). Currently adopting GraphQL and modern auth patterns (OAuth, JWT).
Particle41'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.