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 hands-on AWS platform engineering for a client team, designing reliable and scalable infrastructure, federated identity, Terraform modules, and Kubernetes workloads. Assess existing platforms, prioritize delivery, translate requirements into auditable work, and establish foundations for future expansion. The role also involves incident management, on-call processes, stakeholder engagement, team leadership, mentoring, and operating within regulated environments.

Leads complex client software projects through hands-on coding, architecture, solution design, delivery leadership, and project management. Manages and mentors engineers, sets technical standards, oversees planning and risk management, communicates with stakeholders, and drives reliable, scalable outcomes. Builds trusted client relationships, translates business needs into technical plans, contributes to hiring and pre-sales, and supports continuous improvement across consultancy practices.

Build high-quality mobile applications using Kotlin Multiplatform and Compose Multiplatform, sharing business logic and UI across iOS and other platforms. Integrate shared KMP modules with native iOS APIs, write clean and tested Kotlin code, create responsive interfaces, and contribute to architecture and engineering best practices. Collaborate independently with engineers and client stakeholders while using AI coding tools and modern mobile development practices.

Leads architecture and delivery of full-stack systems in a consultancy environment. Applies deep engineering judgment across backend, cloud, data, web, mobile, distributed systems, AI-enabled development, security, and infrastructure. Acts as a client-facing technical authority, communicates with senior stakeholders, mentors engineers in AI fluency and quality practices, makes commercially sound decisions, and raises team effectiveness while remaining hands-on.

Lead cloud and application security across regulated client engagements. Responsibilities include AWS and Azure security architecture, Terraform infrastructure controls, threat modeling, penetration testing, secure code and architecture reviews, compliance analysis, AI-powered security tooling, stakeholder communication, governance, and mentoring DevSecOps teams.

Lead a team of 5+ TechOps engineers supporting a regulated, Azure-hosted platform with 24/7 coverage. Own work intake, triage, incident and change processes, operational roadmaps, team enablement, reliability, observability, disaster recovery, automation, and service desk improvements. Serve as a senior technical escalation point while stabilizing and modernizing an inherited estate using Azure, RHEL, Java microservices, infrastructure automation, and AI-assisted tooling.

Develop RESTful Java APIs and database integrations, integrate third-party services, and deliver maintainable, well-tested software within agile client teams. The role involves collaborating with business, QA, product, design, and client stakeholders; resolving delivery bottlenecks; handling technical client communications; mentoring engineers; and overseeing technical implementation. Experience with Java API development and ORM is required, while cloud services and CI/CD are beneficial.

Develop RESTful Java APIs and database integrations using maintainable, well-tested code. Integrate third-party services, collaborate with cross-functional and client teams, improve software delivery processes, address client issues, and mentor engineers. The role also involves applying engineering best practices, knowledge sharing, cloud services, CI/CD, and agentic AI-enabled workflows.

Coordinates daily office operations, visitor experiences, supplies, deliveries, meeting spaces, events, travel arrangements, onboarding logistics, equipment, correspondence, facilities requests, and vendor relationships. Serves as a contact for office, remote-working, health and safety, and fire safety enquiries while maintaining an organized, welcoming workspace. Supports internal communications, office engagement initiatives, workstation assessments, access passes, and office issue tracking, with occasional support for other offices.

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.

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.

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.

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 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.