3 of 3 Performance Monitoring Jobs in Dorset

and maintain strong relationships with internal and external stakeholders to ensure transparency and alignment on project goals. Risk & Issue Management: Identify potential risks early and implement appropriate mitigation strategies. Performance Tracking: Monitor project progress, provide regular updates, and ensure timely reporting to all stakeholders. Process Improvement: Continuously assess delivery processes and implement best practices to enhance efficiency and service … communication. Ability to manage multiple projects in a fast-paced environment. Experience with project management methodologies (Agile, Scrum, Waterfall, etc.). Solid understanding of risk assessment , quality assurance , and performance monitoring . Familiarity with budgeting and financial oversight within delivery frameworks. Knowledge of current technology trends is desirable. Qualifications Bachelor’s degree in Business Administration, Project Management, or More ❯

Building REST APIs Microservices in the cloud using PHP and Node. AWS: EC2, S3 DevOps tools: Terraform (preferred), Ansible (desirable) CI/CD via GitHub Actions. Message queues: RabbitMQ Monitoring: Prometheus, Grafana. No current PHP or JS automated testing. Able to communicate technical updates to the C-suite. Additional/Desirable experience: Proven experience in mobile development, particularly with … in a high-growth retail or digital signage environment (e.g., CMS for in-store displays, LED scheduling systems). Experience with CI/CD pipelines, infrastructure as code, and performance monitoring/security best practices. Background in implementing Agile/Scrum processes and tools. Authenticating APIs using OAuth (or Auth0 provider) ElasticSearch familiarity Exposure to PostgreSQL and MongoDB. More ❯

IT, clinical staff, and external vendors, to ensure successful implementation of solutions. Training & Support: Develop training programs for staff to effectively use new AI technologies and provide ongoing support. Performance Monitoring: Establish metrics to evaluate the effectiveness of AI implementations and make data-driven recommendations for improvements. Compliance: Ensure all AI projects comply with relevant regulations and ethical More ❯