101 to 125 of 2,072 AWS Jobs

Jira and Confluence) Real world experience of Agile practices and execution (Scrum, Kanban), design and development for cloud environments (i.e. docker, k8/Kubernetes, AWS), and wanting to learn or have experience with AI based solutions Work in a Way That Works for You We promote a healthy work/ ...

Real-world experience of Agile practices and execution (Scrum, Kanban) Be familiar with how to design and develop for cloud environments (i.e. docker, Kubernetes, AWS) Wanting to learn or have experience with AI-based solutions. Be eager to learn and grow my skills and experience. Champion industry best practices ...

customers through complex technical deployments Proven hands‐on experience from a prior role designing and deploying cloud infrastructure on at least one major provider: AWS, Google Cloud, or Microsoft Azure; you have done the work and can speak to it with specificity 2+ years of production experience with Kubernetes: cluster ...

This role focuses on those who have military experience interested in working in the private sector. Amazon Web Services (AWS) is seeking a Critical Facilities Technician to join our Data Center Engineering Operations (DCEO) team. In this role you will support the operation, monitoring and maintenance of the electrical … mechanical infrastructure that powers AWS cloud services. AWS data centers ope... CRWG1_UKTJ ...

Experience designing SPA or micro-frontend architectures Strong understanding of API integration (REST, API gateway patterns, BFF) Experience working in cloud environments such as AWS or Azure Exposure to Docker, Kubernetes and CI/CD pipelines Strong focus on performance optimisation techniques such as lazy loading and code splitting Experience ...

development, and analytical workflows. Hands‐on experience with machine learning frameworks such as scikit‐learn, TensorFlow, PyTorch, or similar. Strong experience with cloud platforms (AWS, Azure, or GCP) and building cloud‐native systems. Experience with modern data platforms such as Snowflake, BigQuery, or Databricks. Familiarity with Infrastructure as Code, microservices ...

backend services Java development with Spring Boot Front-end development using modern JavaScript frameworks (e.g., React, Vue) Experience with cloud platforms such as AWS or Azure Containerisation and orchestration using Docker and Kubernetes Infrastructure as Code (Terraform, Ansible or equivalent) Unit testing and test automation Use of code repositories ...

Salesforce certifications (e.g. Platform Developer I/II, App Builder, Administrator) • Experience with CI/CD tools, API integrations, or Salesforce DevOps • Knowledge of AWS, Azure, or GCP #LI-JW1 Together, as owners, let's turn meaningful insights into action. Life at CGI is rooted in ownership, teamwork, respect ...

integrations across payment rails such as BACS, SEPA, or Faster Payments Expertise in microservices architecture and integration patterns Strong experience with cloud platforms (AWS/Azure) and legacy data centre environments Knowledge of security frameworks, IAM, and Zero Trust models Hands-on experience with DevOps tools including Kubernetes, Docker, Terraform ...

integrations across payment rails such as BACS, SEPA, or Faster Payments Expertise in microservices architecture and integration patterns Strong experience with cloud platforms (AWS/Azure) and legacy data centre environments Knowledge of security frameworks, IAM, and Zero Trust models Hands-on experience with DevOps tools including Kubernetes, Docker, Terraform ...

Desired Skills and 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 ...

that underpin the delivery and performance of the wider commercial technology landscape. The successful candidate will work across a diverse technology environment, including Azure, AWS, Microsoft Fabric, Power BI, Infor ERP, Infor Revenue Management, Infor Product Management, Bynder, and associated integrations. They will be responsible for maintaining cloud infrastructure, supporting ...

demonstrations, workshops and PoCs Is comfortable writing scripts and getting hands-on when solving customer integration or deployment challenges Understands cloud platforms such as AWS, Azure or GCP Has knowledge of networking concepts including TCP/IP, DNS, VPN and HTTP/S Has experience working with APIs, integrations ...

will be comfortable working in agile delivery teams with frequent releases. Experience with cloud platforms and serverless/containerised patterns (for example, AWS/Azure components, Lambda-style services, Kubernetes, and observability tooling) will be beneficial. Experience in voice-related ML domains (speech, ASR, NLP, speaker verification, audio enhancement ...

Services & Observability - Experience designing for multi-cloud, hybrid and on-prem environments - Skilled in cloud-native patterns (PaaS, SaaS, serverless, containers, orchestration) - Cloud platforms (AWS or GCP): commonly used IaaS/PaaS services - Proficient with observability frameworks (Prometheus, ElasticSearch , Grafana, OpenTelemetry ) for metrics, logs and traces Platform Technologies & BSS Vendor ...

remote collaboration. Ability to evaluate and compare different languages and technologies. Adaptable and eager to learn new tools and technologies. Desired Skills Experience with AWS or Azure. Knowledge of Kubernetes or other container orchestration tools. Familiarity with Agile methodologies and DevSecOps practices. Understanding of web security principles. Exposure to Rust. ...

least 4 years Python experience Ai Tools Key Requirements Strong expertise in Python web development frameworks with experience working in cloud environments such as AWS, Azure, or GCP. Experience with strong AI tools is a must Skilled in applying software technical design principles to build scalable, secure, and maintainable solutions ...

Hands-on experience working with LLMs (prompt engineering, fine-tuning, embeddings, vector databases, RAG) Experience building and deploying applications in cloud environments (Azure preferred, AWS/GCP also considered) Strong understanding of APIs, microservices, and distributed systems Familiarity with tools like Docker, Kubernetes , and CI/CD pipelines Experience working ...

Hands‐on MLOps experience : You have operationalised ML models in production, owning deployment, monitoring and lifecycle management (not just experimentation). Cloud platform expertise (AWS strongly preferred; Snowflake a plus) with deep understanding of services for compute, orchestration, storage and ML (e.g., SageMaker, Lambda, ECS/EKS, Step Functions). ...

Computer Vision. Excellent Python development skills with frameworks such as pandas, scikit-learn, TensorFlow or PyTorch, and LangChain. Experience with cloud AI services including AWS Bedrock, Azure Machine Learning, or Google Cloud AI Platform. Good understanding of data engineering, model deployment, and MLOps best practices. Experience with Git-based development ...

troubleshoot complex infrastructure and application issues using monitoring insights Solid scripting experience (Python, PowerShell) for automation and integration Familiarity with cloud platforms (Azure, AWS) and monitoring containerised environments (Kubernetes, OpenShift) Strong problem-solving skills and analytical thinking to draw meaningful insights from data Excellent communication skills with the ability ...

troubleshoot complex infrastructure and application issues using monitoring insights Solid scripting experience (Python, PowerShell) for automation and integration Familiarity with cloud platforms (Azure, AWS) and monitoring containerised environments (Kubernetes, OpenShift) Strong problem-solving skills and analytical thinking to draw meaningful insights from data Excellent communication skills with the ability ...

Hands-on MLOps experience : You have operationalised ML models in production, owning deployment, monitoring and lifecycle management (not just experimentation). Cloud platform expertise (AWS strongly preferred; Snowflake a plus) with deep understanding of services for compute, orchestration, storage and ML (e.g., SageMaker, Lambda, ECS/EKS, Step Functions). ...

code quality and analysis tools (e.g., SonarQube). Background with job scheduling platforms such as Control-M. Experience with major cloud providers (Azure, AWS, GCP). Familiarity with VMware (vSphere) and storage area networks. Previous experience in financial services would be advantageous, though not a requirement. This is an exceptional ...

networking, virtualization) •Proficiency in Linux/Unix environments and scripting (e.g., Bash, Python) •Experience with automation tools (Terraform, Ansible, Puppet) •Familiarity with cloud platforms (AWS, Azure, GCP) and hybrid environments •Exposure to containers (Docker, Kubernetes) •Knowledge of networking and security best practices #LI-SB2 Together, as owners, let's turn ...