Jobs at CreateFuture

Lead business analysis for digital product and technical projects, translating client goals into developer-ready requirements, user stories, acceptance criteria, API contracts, data flows, and technical specifications. Analyze system data, integrations, dependencies, and backend architecture; manage project backlogs; facilitate discovery workshops and estimation; balance business priorities with technical constraints; and bridge technical and non-technical stakeholders. The role also encourages experimentation with AI tools, LLMs, and agentic workflows.

Lead product engagements for enterprise clients, shaping product strategy from discovery through delivery and iteration. Manage, mentor, and develop Product Managers; support recruitment, resourcing, career progression, and capability building. Guide clients through digital transformation, facilitate discovery and workshops, remove blockers, and improve product management practices. Apply data, AI, research, and customer evidence to drive product decisions and outcomes.

Lead client product engagements across discovery, strategy, digital transformation, delivery, and iteration. Guide senior stakeholders toward customer-focused outcomes, shape product management practices, and coach product managers. Apply service blueprinting, customer journey mapping, research, data, web and mobile knowledge, and practical AI experience—including agents, orchestration, and autonomous processes—to develop valuable products and services for enterprise clients.

Build and maintain high-quality iOS applications using Swift, SwiftUI, Kotlin, and Kotlin Multiplatform. Develop shared business logic, integrate KMP modules, write tested and maintainable code, and champion clean architecture and engineering best practices. Collaborate with designers, product owners, testers, clients, and agile teams while contributing to reusable libraries, code reviews, and modern mobile development practices.

Build and maintain scalable backend systems using Java, Node.js, Spring, AWS, microservices, and REST APIs. Lead architecture and technical design, promote secure and reliable engineering practices, drive automated testing and CI/CD, mentor engineers, collaborate with clients and cross-functional teams, and evaluate AI and emerging technologies to improve software delivery.

Lead technical direction for an AI platform connecting workloads to multiple LLM providers. Build API gateway and routing infrastructure, agent orchestration, capability lifecycle tooling, access controls, API key management, caching, cost and latency optimization, adoption analytics, and trust, safety, and governance controls. Define API standards and promotion workflows while supporting auditable, scalable AI services across client engagements.

Lead high-impact engineering engagements for consultancy clients by shaping architecture, making pragmatic technical decisions, reviewing code, guiding AI-assisted development, and delivering robust production systems. The role requires broad full-stack understanding across backend, cloud, data, web, and mobile; expertise in Java containerisation, developer experience, CI/CD, migrations, refactoring, and replatforming; and strong consulting, communication, commercial judgment, mentoring, and client-facing leadership.

Senior Software Engineer responsible for designing scalable Java and Spring backend systems, developing secure REST APIs, and contributing to Vue/TypeScript applications. The role includes architectural leadership, technical decision-making, automated testing, CI/CD, cloud development, mentoring engineers, client collaboration, and delivery across multiple initiatives. The engineer will also evaluate emerging technologies, promote automation, and help adopt responsible AI practices to improve engineering effectiveness.

Senior AWS consulting leader advising enterprise clients on cloud, data and AI strategy. Lead discovery workshops, shape large-scale transformation programmes, design cloud-native roadmaps, support pre-sales, mentor architects, represent the firm externally, and ensure strategic intent translates into delivery.

Lead the adoption of AI-native software development practices as a hands-on Principal Engineer. Mentor engineers in tools such as GitHub Copilot, Claude Code, Codex, Cline, Kiro, and Cursor; introduce innovative workflows; solve complex technical problems; and collaborate with engineering and product leaders to translate AI-driven productivity and capabilities into product value. The role requires strong backend development skills, technical leadership, communication, and practical experience with generative AI tools.

Senior Software Engineer responsible for advancing AI-assisted software development across engineering teams. The role combines hands-on backend coding with mentoring, code reviews, technical leadership, workflow innovation, and adoption of tools such as GitHub Copilot, Claude Code, Codex, Cline, Kiro, and Cursor. The engineer will demonstrate AI-powered development practices, collaborate with technical and product stakeholders, and communicate productivity and product-value improvements.

Design and maintain scalable Java backend systems, REST APIs, microservices, and distributed architectures. Lead technical and architectural decisions, promote testing and automation, mentor engineers, collaborate with clients and cross-functional teams, and evaluate emerging technologies including AI to improve engineering delivery.

Design, build and maintain scalable, secure backend systems using Java and the Spring ecosystem. Lead architecture and API design, ensure quality through testing and observability, mentor engineers, drive delivery across initiatives, evaluate emerging technologies and AI capabilities, and collaborate with cross-functional teams to deliver client value.

Lead CMS and web platform modernisation efforts, prototype AI/agentic POCs, and support the Principal Engineer to shape technical direction. Investigate where AI adds value, refocus the CMS team on higher-value marketing work, improve scalability and management, and collaborate with stakeholders to define pragmatic technical approaches and roadmap.

Design, build, operate, and improve cloud-native Kubernetes platforms. Maintain cluster health, GitOps, IaC (Terraform), CI/CD, observability, incident response, cost and performance optimisation. Partner with engineering teams, support deployments, reduce technical debt, and for Lead roles own roadmap, mentor engineers, and manage stakeholder priorities.

Build, optimise and stabilise AWS-based data pipelines (S3, Glue, Redshift, Lake Formation). Resolve technical debt, support the Architect on target-state design, collaborate with client engineering teams to transfer knowledge, and deliver production-ready platforms in regulated, high-volume gaming environments.