Top Tech Jobs & Startup Jobs

Develop and maintain scalable Python backend services (FastAPI or Django), deploy and manage applications on Kubernetes, optimize CI/CD pipelines, integrate databases and messaging systems, and use AI tools to improve development efficiency and code quality.

Analyze existing Java Swing UI masks, rebuild ~300 masks using the Vaadin framework, ensure visual and functional parity, and collaborate with the internal development team to incorporate architecture feedback and maintain consistency.

Develop, validate, and improve an existing AI-driven crypto trading engine and build/optimize the platform GUI. Implement and refine AI trading logic and recommendation systems, ensure code quality, performance, and scalability, and iterate on the live proof-of-concept toward a full pilot.

Act as a technical partner for input management: configure software solutions, implement integrations (APIs, data mapping), support clients, and apply AI tools and prompt engineering to optimize processes and analyses.

Own and evolve the data infrastructure for a personalised AI health platform. Design reliable, secure, and scalable backend systems, APIs, and infrastructure; build data pipelines, data models, and ML-ready systems; integrate third-party APIs (wearables, genomics, diagnostics); collaborate with stem-cell research expertise to support AI systems.

Part-time Product Manager owning the product pipeline across internal dashboards, partner/client tools, and iOS/Android apps. Run sprint planning, prioritize backlog, coordinate with engineering, translate business needs into technical requirements, and keep roadmap and teams aligned.

Support day-to-day sourcing, logistics, and process coordination. Manage supplier communication, optimize workflows, and collaborate with stakeholders on operations, sustainability, and industrial processes in a fast-paced startup environment.

Analyze and fix compatibility issues for an existing Android app to ensure functionality on the latest Android versions. Stabilize, debug, refactor, and maintain the legacy mobile codebase, improve app architecture, and support API/backend integrations. Potentially assist with migration efforts from Xamarin to .NET MAUI.

Act as an on-site AI consultant driving enterprise-wide AI adoption: train employees, translate use cases into agent systems, evaluate deployment architectures, implement hands-on demos, and align roadmaps with the core AI team and Chief of Staff.

Build and scale ETL/ELT pipelines, design logical data models and an enterprise data model, implement automated data quality checks and lineage, write performant PySpark and SQL code, and collaborate with data scientists and business stakeholders to deliver reliable data products.