Jobs at CreateFuture

Lead client product engagements, define product strategies, guide digital transformation, and oversee product development from discovery through delivery. Lead, coach, mentor, recruit, and support Product Managers while improving product practices and career pathways. Build trusted client relationships, remove blockers, support resourcing, and apply data, AI, research, and product management frameworks to deliver valuable customer-focused outcomes.

Manage CreateFuture's event programme in Scotland: plan and execute owned, partner and sponsored events (dinners, roundtables, conferences). Coordinate with AWS, OpenAI and Anthropic, shape themes with SMEs, run invite/outreach and registrations, ensure branding and content, manage logistics, lead capture and post-event follow-up to drive measurable pipeline.

Lead hands-on development of scalable .NET and AWS applications, writing production code while setting technical direction. Design event-driven cloud-native services, improve legacy systems, build CI/CD pipelines, implement Terraform infrastructure, and contribute to Next.js frontend development. Collaborate with engineering teams and business stakeholders, translate technical trade-offs, promote maintainable and operationally excellent practices, and support modernization and platform transformation initiatives.

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.

Design, build, and operate production-grade agentic AI systems on Amazon Bedrock. Implement multi-agent orchestration, MCP servers, RAG pipelines, vector stores, and integrations. Use AWS serverless (Lambda, DynamoDB, S3), instrument observability (CloudWatch/tracing), and collaborate with client teams to deliver scalable AI agent solutions.

Deliver and migrate production ML data pipelines from Databricks to an AWS SageMaker MLOps platform. Build feature engineering pipelines and feature store integrations, ensure parity/testing with Databricks outputs, manage storage/permissions/IAM, deploy via CI/CD and IaC, document runbooks, and collaborate with engineering, AWS ProServe, and client teams in a regulated iGaming environment.

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 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.

Manage workforce allocation across consulting, engineering, product, design, delivery, data, and AI teams. Match employee skills and availability to client demand, optimize utilization, manage capacity and staffing risks, coordinate hiring needs, resolve resource conflicts, support revenue forecasting, monitor project margins, and provide workforce analytics and recommendations to leadership.

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.

The Principal Engineer leads project teams, manages client relationships, and sets technical standards. They mentor engineers, drive skill development, and identify new sales opportunities while fostering a collaborative culture.

Lead the discovery and analysis of a large, undocumented SQL Server estate supporting financial services trading data. Responsibilities include mapping schemas, dependencies, stored procedures, data lineage, integrations, duplicated tables, and potential dead code; developing archiving and retention strategies; documenting findings; advising on modernization and cloud migration; and mentoring data engineers. The role requires hands-on SQL Server and AWS RDS expertise, scripting with Python or PowerShell, AI-assisted analysis using Claude, and client engagement in a hybrid Glasgow consultancy setting.

Lead enterprise data architecture and strategy for complex, real-time environments. Validate client strategy, define evolution roadmaps, and create execution blueprints. Design cloud-agnostic architectures and conceptual data models while advising on data governance, operating models, externally licensed data, contracts, content coverage, and low-latency delivery. Engage stakeholders across trading desks, CIO functions, quants, and risk teams, balancing technical, commercial, and organizational priorities.

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.

Build, deploy and support production-ready data pipelines using Microsoft Fabric, Python, and PySpark. Manage CI/CD for data workflows, troubleshoot live pipelines, collaborate with cross-functional teams, and ensure reliability, performance, and maintainability of data solutions.