Top Tech Jobs & Startup Jobs

Serve as a Scrum Master/Agile Delivery Lead to coach cross-functional teams, run Agile ceremonies, remove impediments, manage RAID, align Agile with waterfall milestones, ensure regulatory and quality standards, and drive continuous improvement and predictable delivery.

Responsible for designing and building data, analytics, and AI solutions that support business decision-making, focusing on user needs and data quality.

Design and lead agentic AI system architectures using Amazon Bedrock and agent frameworks. Drive model selection, fine-tuning, containerized deployments (Docker/Kubernetes), low-latency networking, performance engineering, MLOps/CI-CD, and integrate foundation models into enterprise workflows while mentoring engineers.

The Head of Information Technology will lead technology strategy and digital transformation, ensuring IT operations support manufacturing and compliance, while managing risk and governance.

Manage and optimize the savings product portfolio, drive product innovation, oversee lifecycle management, and ensure compliance while enhancing customer experience.

Design, develop, and deliver cloud-ready backend services and RESTful APIs. Own features end-to-end including schema design, service implementation, automated testing, deployment, monitoring, and contribute to system architecture and engineering best practices while collaborating with cross-functional teams.

Design and deliver data-driven digital solutions by analysing business processes, gathering requirements, building SQL extracts, integrating ERP/operational data, creating reports/dashboards, implementing workflow automations (e.g., Power Automate), and promoting responsible AI and automation adoption.

The Network Engineer will manage network infrastructure, provide technical support, ensure security, lead projects, and mentor staff while adhering to compliance in a pharmaceutical setting.

The Data Analyst will transform data into insights, develop data solutions, and support decision-making by creating dashboards, managing data pipelines, and ensuring data governance.

The candidate will develop, support, and enhance large-scale output management solutions using Unix/Linux technologies in a collaborative environment.