Custom software and AI-ready data platforms for enterprise and startup clients
Symphony is a 650+ person engineering-led services firm built around custom product development and AI-native data infrastructure. The tech stack spans Azure, AWS, Kubernetes, and modern data tools (Databricks, Snowflake, BigQuery), with active work on real-time AI pipelines, data governance, and production ML systems. Hiring remains concentrated in engineering (78% of open roles) across Southeast Europe and Latin America, while pain points center on modernizing legacy data systems and scaling governance—indicating clients are moving data platforms toward AI readiness.
Symphony is a global design and development firm founded in 2007, headquartered in San Francisco, with 650+ technologists across engineering offices in Southeast Europe and Latin America, plus business and remote hubs spanning the US, Western Europe, and multiple continents. The company specializes in full-stack software development and custom product launches, having shipped over 300 products for startups, enterprises, and Fortune 500 companies over 16 years. Work centers on cloud infrastructure (Azure, AWS, Kubernetes), modern data platforms (Snowflake, BigQuery, Databricks), and AI-native system design. The seniority distribution skews mid-to-senior engineering, with active projects in real-time data pipelines, ML systems architecture, and data governance for global enterprise clients.
Azure, AWS, Kubernetes, Terraform, Python, TypeScript, .NET, Databricks, Snowflake, BigQuery, and Docker. They also use Bash, Go, Java, Scala, and SQL Server for infrastructure and data layers.
Real-time AI data pipelines, AI-ready data platform design, data governance and strategy, production-ready ML systems for creative and business workflows, and frontend architecture optimization for enterprise clients.
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