
51 - 200 employees
Founded 2001
💳 Fintech
🤖 Artificial Intelligence
Fintech • Cloud Engineering • Artificial Intelligence
Kunai is a company focused on accelerating innovation in the financial sector by providing expert services in product development, AI and automation, cloud engineering, and data engineering. Founded by experienced professionals from leading banking and fintech institutions, Kunai aims to transform new ideas into market-ready financial products, enhance operational efficiency through AI, and help clients navigate complex cloud environments, ultimately leading to improved decision-making and customer experiences in finance.
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51 - 200 employees
Founded 2001
💳 Fintech
🤖 Artificial Intelligence
Fintech • Cloud Engineering • Artificial Intelligence
Kunai is a company focused on accelerating innovation in the financial sector by providing expert services in product development, AI and automation, cloud engineering, and data engineering. Founded by experienced professionals from leading banking and fintech institutions, Kunai aims to transform new ideas into market-ready financial products, enhance operational efficiency through AI, and help clients navigate complex cloud environments, ultimately leading to improved decision-making and customer experiences in finance.
• You will be embedded across one or more workstreams supporting digital payments engineering, with responsibilities that may include: • Design and execute enterprise-grade performance testing strategies for payment processing services, defining frameworks, tooling, and success criteria from the ground up. • Identify performance bottlenecks across legacy and modern service layers and drive measurable improvements through analysis and targeted optimization. • Instrument and validate services running on Java, Oracle, Tomcat, and WebSphere as well as modern workloads running on PostgreSQL and OpenShift. • Collaborate with backend engineers to ensure scalability requirements are met across all environments prior to release. • Translate performance findings into clear recommendations for engineering leads and stakeholders. • Build and maintain full-stack backend services supporting card network integration, working primarily in Java with PostgreSQL and OpenShift Container Platform (OCP). • Contribute to application modernization efforts, migrating and re-platforming services from legacy infrastructure to cloud-native environments. • Leverage AI-assisted development tooling (including GitHub Copilot) to improve development velocity and code quality. • Participate in code reviews, architectural discussions, and cross-team technical planning sessions. • Work with event-driven services running on OpenShift and Oracle and PostgreSQL backends to support data lifecycle and compliance requirements. • Serve as a flexible, senior contributor across teams where engineering depth and experience are needed most.
• 5+ years of professional software engineering experience, primarily in Java. • Strong working knowledge of relational databases — Oracle and/or PostgreSQL required. • Experience deploying and operating services in containerized environments (OpenShift, Kubernetes, or equivalent). • Familiarity with legacy enterprise application servers — Tomcat and/or WebSphere experience a plus. • At least one enterprise-level performance testing engagement — defining strategy, selecting tooling, executing tests, and presenting findings. • Experience with performance profiling, load testing, and bottleneck resolution in high-throughput, distributed systems. • Background in digital payments, card processing, or financial services technology strongly preferred. • Understanding of PCI compliance requirements and secure data handling practices. • Familiarity with event-driven architecture patterns and OpenShift-based eventing. • Demonstrated ability to work effectively in large, matrixed program environments with multiple teams and stakeholders. • Strong written and verbal communication skills; able to translate technical complexity for non-technical audiences. • Comfortable operating in environments with evolving requirements and ambiguity.
• Competitive compensation • Professional development opportunities • Flexible work arrangements
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