Cloud infrastructure and product delivery services for enterprise digital transformation
Parser is a 201–500 person services firm built around infrastructure-as-code, Kubernetes, and cloud-native delivery across Azure, AWS, and GCP. The engineering-heavy hiring mix (18 of 24 active roles) skews senior and principal, signaling focus on complex infrastructure projects rather than staff augmentation—a pattern reinforced by projects spanning Kubernetes observability, multi-tenant platform builds, and real-time data validation. Pain points flagging .NET/AWS-to-Azure migrations and AI safety compliance suggest the firm is riding demand for cloud modernization and compliance work.
Notable leadership hires: Programme Director
Parser delivers product development, cloud modernization, and engineering effectiveness services to mid-market and enterprise organizations. Founded in 2018 and headquartered in London, the firm operates a distributed model across 4 continents. Core service lines span product ideation and software development, technology adoption and modernization, and engineering process improvement. The tech stack centers on infrastructure-as-code (Terraform, OpenTofu, Atlantis, Spacelift), Kubernetes orchestration (AKS, ECS, GCP), and observability (OpenTelemetry), with cloud delivery on Azure, AWS, and GCP. Current project work includes greenfield platform builds, streaming data pipelines, and enterprise Kubernetes observability.
Parser uses Azure (primary), AWS, and GCP. Stack includes Azure Kubernetes Service, AWS ECS, Terraform, OpenTofu, and Argo CD for infrastructure-as-code and orchestration.
Yes. 18 of 24 active roles are engineering positions, mostly senior and principal level. Hiring across Colombia, UK, UAE, Spain, and Argentina.
London, United Kingdom. Founded 2018, operates across 4 continents with 201–500 employees.
Parser'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.