3,326 to 3,350 of 8,758 Digital & IT Jobs

Proficiency with Linux/Unix command line for diagnostics, configuration, and validation. Experience working across virtualisation platforms (VMware, VirtualBox) and cloud environments (AWS, Azure, GCP). Infrastructure as Code (IaC) Terraform: writing/validating HCL, managing state, using modules. Ansible: building playbooks/roles, inventories, and validating idempotency. ...

sacrifice your work‐life balance in exchange for joining an incredible journey and learning a lot along the way. Requirements Technical stack : Azure (also AWS is a plus), Terraform, AKS (Kubernetes), Docker, GitHub Actions. Observability : Experience implementing logging, metrics, and tracing frameworks. Security : Familiarity with best practices, secrets ...

Comfortable writing code in either Python, Scala, JavaScript/TypeScript, and modern frameworks Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one Deep experience with distributed computing with Apache Spark and knowledge of Spark runtime internals Familiarity with ...

marketplace technology. Knowledge of booking, inventory, availability, pricing, payments, distribution, or property‐management systems. Experience with cloud platforms such as AWS, Azure, or Google Cloud. Familiarity with event‐driven architecture, microservices, data platforms, and integration technologies. Experience with payment, identity, CRM, analytics, or third‐party marketplace integrations. Experience ...

sites and sales events. Experience/qualifications/skills Strong understanding of IT infrastructure (cloud, on-prem, hybrid); Experience with cloud platforms (AWS, Azure, GCP); Confident presenter with customer-facing experience; Knowledge of networking, security, and system architecture. VLAN, RAID, CPU and hardware design, IP networking, IP routing ...

Proficiency with Linux/Unix command line for diagnostics, configuration, and validation. Experience working across virtualisation platforms (VMware, VirtualBox) and cloud environments (AWS, Azure, GCP). Infrastructure as Code (IaC) Terraform: writing/validating HCL, managing state, using modules. Ansible: building playbooks/roles, inventories, and validating idempotency. ...

hands‐on industry DS/ML experience, with a focus on either: ML Engineering: Building/maintaining production‐grade cloud infrastructure (AWS/Azure/GCP) that supports deployment of ML applications and monitoring ML model performance. Data Science/AI: Applying advanced techniques in LLMs, agentic systems ...

/CD pipelines (Jenkins, GitLab CI, GitHub Actions, CircleCI) and automated test integrations. Experience with containerisation and cloud technologies (Docker, Kubernetes, AWS, Azure) for test environment management. Proficient in test data generation and QA environment maintenance leveraging AI where appropriate. About Olo Olo is a leading restaurant technology ...

optimise Linux-based environments, ensuring stability and performance Develop automation scripts and tooling using Python and other relevant languages Work with AWS/Azure cloud services to architect and support resilient infrastructure Implement monitoring, logging, and alerting solutions to ensure system health and availability. Collaborate with cross-functional ...

/or Linux, plus virtualization (VMware, Hyper‐V). Strong communication skills and a collaborative mindset. Previous Exposure to cloud platforms (AWS, Azure, GCP). Security & Vetting Requirements Please note that this role may be subject to security and export control requirements. As a result, employment in this ...

Experience Core Software Engineering JavaScript frameworks (React, NextJS) TypeScript Python Java REST API development OpenAPI/Swagger Cloud & Infrastructure Cloud services (AWS or Azure) Containerisation & Orchestration (Docker, Kubernetes, OpenShift) Infrastructure as Code (Terraform, Ansible) Data & Search Technologies Relational Databases (e.g. PostgreSQL) Elasticsearch/Opensearch Testing & Quality Unit testing ...

working knowledge of SqL and/or Python, and can independently write code to pull data from a cloud environment (AWS/Azure/GCP) You will have experience working agency, consulting or client side with customer- or customer related datasets - think marketing analytics, sales analysis, product analysis ...

similar languages. Big Data Technologies: Hands-on experience with big data tools e.g. (Databricks, Apache Spark, Hadoop). Cloud Platforms: Familiarity with AWS, Azure, GCP, or other cloud ecosystems for data engineering tasks. Expertise in relational databases (e.g. postgres, sql server) Data Integration Tools: Knowledge of platforms like ...

Experience Core Software Engineering JavaScript frameworks (React, NextJS) TypeScript Python Java REST API development OpenAPI/Swagger Cloud & Infrastructure Cloud services (AWS or Azure) Containerisation & Orchestration (Docker, Kubernetes, OpenShift) Infrastructure as Code (Terraform, Ansible) Data & Search Technologies Relational Databases (e.g. PostgreSQL) Elasticsearch/Opensearch Testing & Quality Unit testing ...

limitations, and knowing how to overcome them in complex environments Experience designing/implementing highly scalable, highly available cloud services (e.g., GCP/Azure) Breadth across modern + legacy technology stacks such as Docker, Kubernetes, microservices, API gateways (Kong), REST, Kafka, React Familiarity with large-scale transformation using ...

forecasting, clustering, and correlation algorithms. Generative AI: Experience with LLM prompting, Retrieval‐Augmented Generation (RAG), and LangChain. Cloud Infrastructure: Deep understanding of AWS, Azure, or GCP infrastructure components Additional Preferred Qualifications: Experience with enterprise observability and AIOps platforms such as ServiceNow ITOM, Splunk, Dynatrace, Datadog, BigPanda, New Relic ...

content that demonstrates how AWS infrastructure delivers customer value Basic Qualifications Experience architecting/operating solutions built on any cloud service provider like Azure, AWS, GCP, OCI, etc. 15+ years of management of 20+ technical, enterprise, customer facing resources 5+ years of experience working with complex Energy ...

Work on Technology That Protects What Matters At SiXworks, we build secure digital solutions that support Defence and National Security missions. Our teams work on complex problems where reliability, security, and speed of innovation matter. ...

native development yourself Familiarity with enterprise development toolchains, CI/CD, and modern SDLC practices, and cloud-native deployment on AWS, GCP, or Azure Communication skills that work across the room — individual contributors, engineering leadership, and business stakeholders High agency and comfort with ambiguity; you operate autonomously ...

multi-disciplinary teams across software engineering, infrastructure, and delivery. Technical Depth Across Domains: Strong technical breadth and depth across enterprise architecture, cloud environments (Azure/AWS/GCP), modern software development, data, and infrastructure—with the ability to guide, challenge, and lead technical specialists across each area. Modern ...

strong Python skills and solid experience in software engineering best practices. You bring hands‐on experience with cloud platforms and infrastructure (e.g. AWS, Azure, GCP), including architecture and security. You’ve worked with container and orchestration tools such at Docker & Kubernetes to build and manage applications at scale. ...

understanding AI and machine learning technologies. Experience with Python, JavaScript, and other programming languages. Understanding of cloud computing technologies OR experience with AWS, Azure, or GCP. Excellent problem-solving and analytical skills. Track record of delivering successful products/working in a collaborative, fast-paced environment ...

modern cloud environments, infrastructure-as-code, developer tooling, internal dev platforms (IDPs) and distributed systems architecture Familiarity with our tech stack: AWS, Azure, Terraform, Terragrunt, Pulumi, Kubernetes, Docker Strong knowledge of DevOps principles, CI/CD pipelines, and engineering best practices Experience driving operational excellence including reliability, monitoring ...

Extensive experience building and enhancing enterprise data platforms, such as data lakes, data hubs and operational data stores, ideally within cloud environments, with Azure experience being particularly beneficial. A good understanding of modern data integration approaches, including APIs, GraphQL, JSON and XML, alongside hands-on experience with tools ...

infrastructure-as-code and DevSecOps processes to support distributed, containerised microservices architectures. Integrating our core platform services across multiple cloud environments, including AWS, Azure, and GCP, to provide flexible solutions for our global clients. Scaling our internal enablement capabilities, acting as an entrepreneurial force that removes technical friction ...