3,426 to 3,450 of 8,770 Digital & IT Jobs

risks, and technical questions clearly and promptly. Pursue ongoing learning in cloud, data, IoT, and AI technologies. Preferred Qualifications Experience with OCI, AWS, Azure, Google Cloud, or another cloud platform. Experience with Kubernetes, Docker, microservices, distributed data systems, or event-driven architectures. Exposure to generative ...

risks, and technical questions clearly and promptly. Pursue ongoing learning in cloud, data, IoT, and AI technologies. Preferred Qualifications Experience with OCI, AWS, Azure, Google Cloud, or another cloud platform. Experience with Kubernetes, Docker, microservices, distributed data systems, or event-driven architectures. Exposure to generative ...

Waterfall project delivery methodologies. Desirable: Cloud Infrastructure: Hands-on experience with Google Cloud Platform (BigQuery, GCP storage) or equivalent cloud providers (AWS/Azure). Programming Languages: Proficiency in Python, R, or general-purpose scripting languages. Analytics Tools: Exposure to visualisation software (e.g., Looker, Looker Studio) and proficiency ...

such as PostgreSQL, modelling data, running ETL/ELT pipelines, and making pragmatic build-versus-buy calls. Experience deploying production systems in AWS, Azure or GCP, accounting for monitoring, secrets management, access control, backups and disaster recovery. Experience with production LLM pipelines: context engineering, evaluation, retrieval, tool ...

control, CI/CD, and the APIs that serve your own work. Hands-on with a major cloud and its managed AI services (Azure and AI Foundry, or the GCP/AWS equivalents), plus solid SQL and relational modelling. Architectural judgement: you make the design call, defend ...

GitOps and platform product management. Knowledge of SRE principles including SLOs, SLIs, and error budgets. Experience with multi-cloud infrastructure. Industry certifications in Azure, Kubernetes, Terraform, or cloud-native technologies. Core Competencies Platform Engineering Cloud-Native Architecture Developer Experience Kubernetes Operations Automation at Scale Infrastructure Engineering Reliability Engineering ...

analysis and resilience planning. Experience designing human‐in‐the‐loop decision tools (explainability, constraints override, auditability, and traceable recommendations). Cloud platform experience (Azure/AWS/GCP) and building secure, scalable services. Experience with event‐driven architectures, streaming, and near‐real‐time optimisation. Experience with data science ...

Agentic Systems: Experience designing and orchestrating autonomous agentic workflows (e.g., LangGraph) and managing agent state/memory. Cloud: Experience working with cloud infrastructure (Azure, AWS, or GCP). Agile Delivery: Experience working in an Agile development environment. Data Engineering: Proficiency in SQL and relational databases (e.g., PostgreSQL, DuckDB ...

with AI/ML frameworks (e.g., TensorFlow, PyTorch, scikit-learn). Understanding of API development and integration. Familiarity with cloud platforms (e.g., AWS, Azure, or GCP) is a plus. Interest in RPA (Robotic Process Automation), data analytics, or low-code/no-code tools a bonus. Soft Skills ...

developing ML solutions using industry best practices, patterns, and automation Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform Experience designing, implementing, and scaling complex data pipelines for ML models and evaluating their performance ML industry impact through conference ...

Experience translating business, operational, security and technical requirements into coherent end-to-end solution designs. Familiarity with modern technology ecosystems, including cloud platforms (Azure and AWS), APIs, containerisation, Kubernetes, event-driven architectures and COTS integrations. Experience producing architecture artefacts, integration views, data flow models and assurance documentation ...

pipelines using tools such as Jenkins or GitLab CI Performance optimisation (bundle size, lazy loading, rendering performance) Cloud platforms and static hosting (AWS, Azure or GCP) Observability tooling including logging, metrics and frontend monitoring Package management with npm, yarn or pnpm What Success Looks Like You’ll demonstrate ...

pipelines using tools such as Jenkins or GitLab CI Performance optimisation (bundle size, lazy loading, rendering performance) Cloud platforms and static hosting (AWS, Azure or GCP) Observability tooling including logging, metrics and frontend monitoring Package management with npm, yarn or pnpm What Success Looks Like You’ll demonstrate ...

plan and stay on top of output. Our target stack relies heavily on Python, containerisation, infrastructure as code, CI/CDand the Azure cloud. We work across the full spectrum of data sourcing and ETL to front‐end delivery. Projects areas include the front office and internal tooling. ...

pipelines using tools such as Jenkins or GitLab CI Performance optimisation (bundle size, lazy loading, rendering performance) Cloud platforms and static hosting (AWS, Azure or GCP) Observability tooling including logging, metrics and frontend monitoring Package management with npm, yarn or pnpm What Success Looks Like You’ll demonstrate ...

pipelines using tools such as Jenkins or GitLab CI Performance optimisation (bundle size, lazy loading, rendering performance) Cloud platforms and static hosting (AWS, Azure or GCP) Observability tooling including logging, metrics and frontend monitoring Package management with npm, yarn or pnpm What Success Looks Like You’ll demonstrate ...

developing ML solutions using industry best practices, patterns, and automation Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform Experience designing, implementing, and scaling complex data pipelines for ML models and evaluating their performance ML industry impact through conference ...

search and data projections with ElasticSearch. Modernizing components of the platform to .NET8+ and Svelte.js, including containerized deployments. Automating infrastructure with Pulumi and Azure DevOps. Participating in architecture discussions, code reviews, and maintaining engineering best practices. What you may have: Strong experience with C#/.NET, including async ...

analytics engineering best practices. Exceptional programming skills, particularly in Python, Scala, or Java, and deep expertise with cloud platforms (AWS, GCP, or Azure). Extensive experience working with privacy-sensitive datasets and implementing robust data observability and governance frameworks. A strong technical background with a track record ...

/agentic system adoption* Comfortable working with uncertainty and engineering forwards* AWS or other cloud accreditations (desirable, not essential)* Exposure to Azure or GCP alongside AWS (desirable)**Why Haven?**Haven is the UK's leading holiday operator, welcoming around 4 million guests every year to our 38 parks ...

software teams as a manager or a team lead • Understanding of agile processes and development practices • Basic understanding of common SDLC management software (Azure DevOps, Jira, etc.) • Basic understanding of dependency management, risk management, people management, and capacity management • Strong technical background in software engineering, with proficiency ...

company. Light scripting or coding ability (e.g. Python) and comfort working with API tools such as Postman. Relevant cloud or security certifications (AWS, Azure, or equivalent). Why This Role AI agents are changing how enterprises operate — and the question of how to govern them safely is becoming ...

management (MDM) projects that shape overarching corporate data policies. Technical & Business Skills: Data Architect: Expert proficiency in cloud data platforms (e.g. Snowflake, AWS, Azure). Deep expertise in data integration patterns (ETL/ELT, API‐led connectivity). Strong capability to design distributed, highly available, and secure data ...

Subject matter expert of Security technologies, with demonstrable experience of developing and implementing them. Good understanding of Cloud Infrastructure platforms (e.g. AWS, GCP, Azure). Strong written and verbal communication skills, ability to communicate effectively with all levels of audience including executive leadership. Powerful analytical and problem‐solving ...

volumetric datasets or large-scale imaging systems. Experience deploying ML models into production environments. Knowledge of C++ software development. Familiarity with Git and Azure DevOps. Experience with cross-platform development (Windows and Mac). Exposure to cloud-based training workflows. Understanding of cybersecurity principles. About ...