Jobs at CreateFuture

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.

Develop and maintain RESTful Java APIs, integrate third-party services, collaborate with cross-functional and client teams, improve delivery processes, handle client issues, mentor teammates, and promote testing, code reviews, paired programming, CI/CD, cloud, and AI-enabled development practices.

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.

Own recurring FP&A reporting packs, including data preparation, cleansing, analysis, commentary, and stakeholder insights. Build and maintain AI- and agent-based workflows to automate finance data processes, evaluate LLM outputs, improve data quality, and identify scalable efficiencies. Serve as the internal AI-for-FP&A expert, document processes and logic, support reporting quality, and provide senior-level autonomy during team transition.

Build and maintain self-service cloud platforms, infrastructure automation, CI/CD pipelines, AI and data engineering infrastructure, observability systems, and FinOps capabilities. Advise clients, support migrations, establish engineering standards, mentor engineers, and contribute to reference architectures and internal technical communities. The role requires strong experience across Terraform, Kubernetes, GitHub Actions, cloud AI services, streaming, orchestration, vector databases, monitoring, and cost optimization.

Provides first-line technical support, configures and troubleshoots Macs, manages Microsoft 365 and Google Workspace accounts, maintains documentation and asset records, and develops automation scripts. The role also supports office technology, security, networking, AI tooling, and internal projects while building broad TechOps experience.

Administer CreateFuture’s Mac-first IT environment, including Jamf Pro, Microsoft 365, Entra ID, Google Workspace, networks, cloud infrastructure, and AI tooling. Automate repetitive processes, manage devices and identities, support joiner/mover/leaver workflows, strengthen endpoint security, contribute to ISO 27001 alignment, and provide evidence for client security questionnaires. The role also involves supporting colleagues, maintaining infrastructure, managing AI tooling costs and governance, and progressing toward ownership of projects and technical areas.

Advise leaders on workforce effectiveness, capability planning, employee relations, engagement, and organisational change. Use people data and AI-supported insights to identify workforce risks and opportunities. Coach managers, support role redesign and AI-enabled work adoption, deliver People initiatives, and contribute to company-wide change while promoting a consistent, inclusive employee experience and company culture.

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.

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.

Lead and grow a team of Product Managers, shape product strategy and delivery for enterprise clients, drive discovery and AI-enabled product value, mentor and embed product management best practices, support resourcing and client relationships across digital transformation engagements.

Work as part of a cross-functional agile team to design and implement RESTful Java APIs, integrate third-party services (e.g., payment gateways), interact with databases using ORM, ensure maintainable and well-tested code, mentor teammates, remove delivery roadblocks, and define/oversee technical implementations for client projects.

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.