Global consulting firm delivering AI, cloud, and data modernization for financial services
Synechron is a 16,700-person consulting operation split heavily toward engineering (129 active roles) and data (28), with hiring accelerating across 11 countries. The tech stack spans legacy (COBOL, CICS, DB2) and modern cloud (AWS, Azure, GCP, Kubernetes, Kafka), reflecting a core mission: helping financial-services clients migrate monoliths to event-driven, AI-enabled architectures. Active projects center on Kafka pipelines, Salesforce integration, portfolio-trading dashboards, and retrieval-augmented generation—all anchored by a pain-point set dominated by legacy modernization and compliance-driven timelines.
Notable leadership hires: Delivery Lead
Synechron combines consulting, engineering, and R&D (via Synechron Labs) to modernize financial-services and technology firms. The firm operates 57 offices across 22 countries, with particular strength in end-to-end AI, cloud migration, data platforms, and digital transformation. Client work spans payments, trading, underwriting, and risk systems—often involving multi-year migrations off mainframe and monolithic architectures toward microservices, event streaming, and cloud-native stacks. The engineering-heavy hiring mix and emphasis on senior talent (110 of 178 active roles) reflects delivery complexity and the regulatory, performance, and data-integrity demands of financial services.
Synechron uses COBOL, CICS, DB2 (legacy), Java, Spring, AWS, Azure, GCP, PostgreSQL, MongoDB, Docker, Kubernetes, Kafka, and React. The firm is actively adopting Kubernetes, Docker, cloud platforms, New Relic, and retrieval-augmented generation.
Active work includes Kafka data pipelines, Salesforce solutions, retrieval-augmented generation, portfolio-management dashboards, card-processing systems, microservices migration, and business-intelligence platforms for financial-services clients.
Synechron'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.