IT staffing firm scaling engineering capacity across USA, Europe, and Scandinavia
Bonapolia is a recruitment and augmentation firm placing technical staff across North America and Europe. The tech stack reveals internal infrastructure maturity — Java, Python, Go, Kafka, Kubernetes, Temporal, and PostgreSQL suggest they operate backend systems beyond pure staffing, likely internal matching/workflow engines. Active hiring is concentrated in Poland and Armenia (6 senior engineering roles in 30 days), while pain points cluster around compliance (PCI DSS, data privacy) and platform stability, indicating growth-stage operational complexity rather than typical recruiter-scale concerns.
Bonapolia recruits and places technical staff for client organizations in the USA, Europe, and Scandinavia. Founded in 2018 and based in Lisbon, the company operates a 11–50-person team split primarily across engineering and product functions. Beyond recruiting, Bonapolia maintains internal systems spanning data pipelines (Kafka, Redis, Elasticsearch), infrastructure (Kubernetes, AWS, Azure), and compliance workflows (Camunda, Temporal). Current project focus includes vehicle lifecycle management integration, dataops automation, large-volume data processing, and infrastructure resilience — suggesting the company has evolved from pure staffing into a tech-enabled platform for workforce placement.
Java, Python, Go, JavaScript, PostgreSQL, Redis, AWS, Azure, Kubernetes, Apache Kafka, Jenkins, and Temporal. Also uses testing tools (Selenium, Cypress, Playwright) and infrastructure-as-code (Terraform, Docker).
Lisbon, Portugal. Founded in 2018 and privately held with 11–50 employees.
Bonapolia'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.