Enterprise software development and IT outsourcing for financial services
Addendum is a 51–200-person software development and IT outsourcing firm founded in 2009, headquartered in Los Angeles. The tech stack—Java, .NET, Python, GCP, BigQuery, Dataform, Oracle EBS, and enterprise data tools (Tableau, Looker, Power BI)—reveals a client base heavy in finance and banking. Current hiring is engineering-focused (18 of 24 active roles), skewed toward senior staff, and spanning eight countries (US, Germany, Spain, UK, Italy, Poland, India, Costa Rica), suggesting rapid scaling of delivery capacity for distributed client work.
Addendum provides software development, IT resource outsourcing, and consulting to mid-market and enterprise clients in fintech, banking, telecom, and government. Services span enterprise software delivery, augmented staffing, data strategy and BI, QA, and DevOps. The company operates from Los Angeles with distributed engineering teams across North America, Europe, and India. Active project work includes CRM development, banking transformation initiatives, reconciliation workflow architecture, and platform optimization—typical of financial services modernization engagements.
Addendum's primary stack includes Java, .NET, Python, GCP (BigQuery, Dataform, Dataflow), Oracle EBS, and analytics tools (Tableau, Looker, Power BI). They also deploy Playwright, Postman, GitLab, Jenkins, Terraform, and iOS/Android for full-stack and mobile work.
Addendum primarily serves fintech, banking, telecom, and government sectors. Recent project work centers on banking transformation, reconciliation automation, CRM development, and data platform optimization for financial services clients.
Addendum'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.