IT staffing and project delivery firm with deep infrastructure and fintech engineering
Skywaves Rise is a recruitment and project delivery firm built by former IBM, Tech Mahindra, and Shell leaders, now executing large-scale cloud and fintech engineering projects. The tech stack is heavily Azure-centric (DevOps, Kubernetes, Functions, SQL, Monitor) with significant Java and Python work, while active projects span high-performance transaction engines, core banking integrations, and CI/CD pipeline design — suggesting they're staffing and building critical financial infrastructure rather than pure staffing-agency work.
Skywaves Rise operates as a hybrid recruitment and project services firm across Europe, the UK, US, and India. Founded in 2003 and headquartered in London, the company combines executive IT headhunting and permanent/contract staffing with end-to-end project and program management delivery. Leadership brings decades of hands-on experience from top-tier organizations across banking, energy, and technology. In addition to talent placement, they offer strategic finance consulting focused on cost optimization and financial system transformation. Current project load centers on high-concurrency fintech systems (transaction engines, banking payments, mortgages), cloud platform migrations to Azure, and CI/CD infrastructure — all with zero-downtime and low-latency requirements.
Primary stack: GCP, Azure (DevOps, AKS, Functions, SQL, Monitor), Java, Python, React. Data pipeline tools: Informatica, Talend, Azure Data Factory, Apache Spark, Hadoop. Infrastructure-as-code: Terraform, ARM Templates, Bicep.
Active projects include high-performance transaction engines for wagering, core banking integration, mortgages and corporate financing systems, real-time bet processing, CI/CD pipeline design on Azure, and cloud infrastructure migration — most requiring zero-downtime and high-concurrency handling.
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Skywaves Rise'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 →
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