Custom software and data platforms for enterprise automation and AI
P99SOFT is a 200+ person engineering services firm built around three operational pillars: cloud infrastructure (AWS, Azure, GCP), data platforms (Snowflake, Databricks, Redshift), and Salesforce customization (Field Service Lightning, MuleSoft). The hiring velocity is accelerating with a 10:1 engineering-to-sales ratio and active adoption of Figma and Midjourney, suggesting a shift toward design-led delivery and generative AI in QA workflows. Immediate project load clusters around FSL implementations, scalable APIs, and data transformation—indicating heavy demand from mid-market enterprises automating field operations and analytics.
Notable leadership hires: DotNet Lead
P99SOFT delivers custom engineering and data services to mid-market and enterprise clients across North America and India. The firm specializes in Salesforce platform extensions (particularly Field Service Lightning), AWS and multi-cloud infrastructure builds, data warehouse design and migration, and custom application development. Project work spans field service data migration, scalable game backend systems, RESTful API architecture, SQL Server optimization, and CI/CD pipeline integration. The company operates with engineering at its core: 10 of 18 active roles are engineering-focused, split across senior and intern levels, with smaller teams in data, design, and operations. Key pain points center on data quality governance, cost optimization in cloud environments, and production reliability at scale.
Primary: AWS, Azure, GCP, Snowflake, Redshift, Databricks, Salesforce, Python, PostgreSQL, MongoDB, React, Docker, Kubernetes, Apache Airflow. Also: MuleSoft, Boomi, Apex, FastAPI, AWS Lambda, Athena, AWS Glue.
Headquartered in Austin, Texas. Hiring in both the United States and India, with a total headcount in the 201–500 range.
P99SOFT'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.