Staffing and payroll firm placing engineering, data and cloud talent
Maxonic is a Campbell, CA staffing and payroll firm whose job posts largely reflect client placements, which is why its tech footprint spans Databricks, Spark, Kafka, Kubernetes, Terraform and ArgoCD alongside SolidWorks, Windchill and Polarion. Hiring is accelerating and weighted toward senior engineering roles, with recurring themes of AI training cost, ISO 26262 safety work and middleware modernization. Internally it is adopting Adaptive Planning and moving off Box.
Maxonic, Inc. is a privately held, minority-owned staffing and payroll services company founded in 2002 and headquartered in Campbell, California. It offers consulting, payroll, contingent workforce and permanent staff augmentation to clients in North America, Europe and India. Placements cover technical fields such as AI, embedded systems, hardware, cloud and data engineering, plus life sciences, finance, marketing and administrative roles. The company has 201–500 employees, with US offices in Campbell, Las Vegas, Denver and Philadelphia and Indian offices in Bengaluru and Chandigarh.
Maxonic's footprint includes Databricks, Apache Spark, Kafka, Power BI, Azure Data Factory, Kubernetes, Terraform, ArgoCD, Jenkins, AWS, Azure, GCP, Python, Go, Scala and Java, plus SolidWorks and Windchill for engineering roles.
Yes. Hiring is accelerating, led by engineering with a strong tilt toward senior-level roles, alongside operations, manufacturing, finance and healthcare openings in the United States.
Maxonic is headquartered in Campbell, California, with offices in Las Vegas, Denver, Philadelphia, Bengaluru and Chandigarh.
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Maxonic Inc.'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.