Jobs at CreateFuture

Lead the technical direction of data engineering across client engagements. Design migration frameworks, streaming architectures, Lakehouse platforms, data integrity systems, and regulatory reporting pipelines. Provide architectural authority, review technical designs, select cloud services, mentor senior engineers, develop reusable delivery patterns, support hiring, and represent the consultancy externally. Shape proposals, scope technical engagements, present to senior stakeholders, and identify opportunities with existing clients.

Lead cloud engineering delivery for client and internal projects, providing technical direction, hands-on infrastructure development, platform engineering, AI enablement, data engineering, security, governance, and FinOps. Build infrastructure as code, CI/CD pipelines, containerized applications, Kubernetes platforms, AI agents, data orchestration systems, observability, and cost controls. Advise clients, contribute to pre-sales, establish engineering standards, mentor cloud engineers, support recruitment, and grow the cloud capability.

Own production data and feature pipelines supporting machine learning systems, including training data preparation, feature engineering, model deployment, versioning, retraining, monitoring, and CI/CD. Build batch and ELT pipelines using Python, PySpark, and cloud data platforms. Troubleshoot live systems, make architecture decisions, partner with clients and data scientists, and mentor engineers while delivering solutions with substantial autonomy.

Lead hands-on backend engineering using Java, Spring Boot, REST APIs, and Kafka-based services. Own technical direction, delivery, architecture, testing, integrations, and DevOps practices while mentoring engineers and championing AI-assisted development. Manage workstream risks, timelines, bottlenecks, client communication, estimation, and delivery planning in a fast-paced consultancy environment.

Designs, builds, and maintains production data pipelines using Microsoft Fabric, Python, and PySpark. Owns architecture, data modeling, CI/CD, reliability, troubleshooting, and technical decision-making. Collaborates with architects, product teams, and clients to translate requirements into robust solutions while mentoring junior engineers and improving engineering practices.

Lead the technical direction of client data engagements, designing Microsoft Fabric and Azure data platforms, pipelines, models, testing, CI/CD, and operational practices. Manage and technically guide data engineers while remaining hands-on with complex challenges, incident response, and troubleshooting. Translate client requirements into technical roadmaps, collaborate with stakeholders, and ensure high-quality, commercially sound delivery using Python, PySpark, SQL, and modern data architecture patterns.

Own CreateFuture’s strategic OpenAI partnership, building relationships across OpenAI’s partner, sales, GTM, and industry teams. Develop and execute the partnership strategy, generate co-selling and partner-influenced opportunities, connect OpenAI with clients and capabilities, mobilize internal teams, strengthen credentials, manage partner-program operations, and track pipeline and commercial outcomes.

Leads complex client software engagements through hands-on development, architecture, solution design, delivery management, and technical decision-making. Manages and mentors engineers, establishes engineering standards, troubleshoots complex issues, and oversees scope, estimation, planning, risks, dependencies, and outcomes. Builds trusted client relationships, translates business needs into technical plans, manages expectations, and identifies follow-on opportunities. The role also contributes to recruitment, pre-sales, consultancy practices, and technology thought leadership.

Build scalable backend systems with Go and responsive frontends with React and TypeScript. Lead architecture and technical design, develop secure APIs, drive testing and engineering excellence, mentor engineers, and deliver client projects. The role also involves evaluating emerging technologies, implementing AI-enabled engineering practices, automating workflows, and collaborating with technical and non-technical stakeholders across discovery and delivery.

Lead architecture for a multi-region internationalisation programme across shared services and a flagship consumer app. Define regional isolation, data residency, cross-region data and Kafka replication, and repeatable region deployments using Kubernetes and Terraform. Review existing regional architecture, identify launch risks, guide multiple teams, manage stakeholders, and remain hands-on with Go, React, Cassandra, PostgreSQL, and Kafka systems.

Lead and coach a team of Product Managers, shape product strategy and discovery, guide clients through digital transformation, embed product management ways of working, and apply AI and data-driven decision making to deliver valuable digital products.

Lead a client-embedded platform engineering team responsible for designing, operating, and evolving reliable AWS infrastructure. Build platform capabilities including federated identity, assess and prioritize platform improvements, translate requirements into auditable delivery plans, and establish foundations for future growth. The role includes team leadership, mentoring, incident management, stakeholder engagement, roadmap development, and work in regulated environments.

Build scalable Java backend systems using Spring, REST APIs, microservices, databases, messaging, Docker, and cloud platforms. Lead architecture and technical design, promote engineering excellence, mentor engineers, drive delivery, improve automation, and evaluate emerging technologies and AI capabilities. Collaborate with clients and cross-functional teams to deliver secure, resilient software with measurable business value.

Own strategy and transformation workstreams from research through recommendations and client implementation. Lead qualitative and quantitative research, frame ambiguous problems, design practical transformation initiatives, facilitate workshops, present to senior stakeholders, and manage timelines, budgets, and expectations. Apply AI tools responsibly to research and strategy, including privacy and bias considerations. Coordinate project teams, mentor junior colleagues, improve consulting frameworks, contribute to proposals, and identify emerging client needs.

Build and maintain high-quality mobile applications using Kotlin Multiplatform and Compose Multiplatform. Develop shared business logic and UI, integrate KMP modules with native iOS APIs, write tested and maintainable Kotlin code, and champion engineering best practices. Collaborate with engineering teams and client stakeholders in a self-led consulting environment while contributing to mobile architecture, code quality, testing, and potentially iOS App Store releases.

Lead end-to-end strategy and transformation workstreams for clients, from research and problem framing through recommendations and implementation. The role covers operating models, change roadmaps, AI adoption and governance, commercial cases, account growth, and practice development. Responsibilities include leading client relationships, managing budgets and scope, developing propositions, coaching colleagues, and translating strategic vision into measurable business outcomes.

Build and maintain backend services and REST APIs using Java and Spring Boot. Write clean, tested code; work with relational and NoSQL databases; participate in code reviews; collaborate with senior engineers and product teams; and use Git-based CI/CD workflows to deliver features. The role includes mentorship, client collaboration, and occasional travel to client sites or company offices.

Optimises workforce utilisation across consulting, engineering, product, design, delivery, data, and AI teams. Manages consultant allocation, capacity planning, staffing risks, utilisation, bench time, project costs, margins, and workforce reporting. Partners with sales, delivery, practice, recruitment, and talent teams to match people to client opportunities while balancing business needs with employee development.

Design and maintain scalable backend systems using Kotlin and Spring Boot. Lead architecture and technical design, develop secure REST APIs, improve engineering quality through testing and automation, and guide delivery across multiple initiatives. Mentor engineers, collaborate with clients and cross-functional teams, evaluate emerging technologies and AI capabilities, and promote resilient, maintainable software practices.

Designs, builds, and evolves reliable AWS platform capabilities, including federated identity and complex integrations. The role assesses existing infrastructure, prioritizes platform improvements, translates requirements into auditable delivery work, and supports future platform expansion. It also owns incident management, on-call and post-incident processes, leads and mentors platform engineers, and communicates priorities to technical and business stakeholders in regulated environments.