1 to 25 of 220 Permanent AWS Jobs in Manchester

Senior Data Engineer (AWS) - Manchester (Senior Data Engineer, Lead Data Engineer, Data Engineer, ETL, AWS, AWS Glue, AWS Lambda, AWS S3, AWS Redshift, Amazon EMR, Python, SQL, Pipeline Orchestration, PySpark, data warehousing, data lakehouse, data architecture, Agile, Senior Data Engineer, Lead Data Engineer, Data Engineer) Our client is a global … intelligence. We are seeking a Senior Data Engineer capable of taking ownership of designing, developing, and maintaining robust data pipelines and ETL processes using AWS services. You will also be contributing to Cloud migration and implementing architectural solutions, as well as ensuring data quality and integrity and providing technical guidance ...

largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. Who You'll Be Working With As an AWS Data Solution Architect at Capgemini, you will design and lead the delivery of modern data platforms that enable analytics, AI, GenAI, and data driven decision making … customers digital and data transformation journey using the modern cloud platforms. We specialise on using the latest frameworks, reference architectures and technologies using AWS, Azure and GCP along with various data platforms like Databricks and Snowflake Please Note: Security Clearance: To be successfully appointed to this role, must be eligible ...

Analysts focused on driving our customersdigital and data transformation using modern cloud platforms. We specialise in the latest frameworks, reference architectures and technologies across AWS, Azure and GCP, including API/microservices patterns and data platforms such as AWS-native analytics services and Snowflake. As an AWS API Engineer/… about your citizenship in the application process. The Focus of Your Role You will be an integral part of teams delivering modern digital services on AWS, with primary responsibility for API and microservices architecture and system integration. You will design RESTful APIs and service boundaries, define integration standards, and collaborate ...

customers digital and data transformation journey using the modern cloud platforms. We specialise on using the latest frameworks, reference architectures and technologies using AWS, Azure and GCP along with various data platforms like Databricks, Snowflake, Quantexa, Palantir, SAS. The Role You Are Considering As a Data Engineer, you will … Microsoft Azure cloud platform, including Azure Data Lake Storage, Databricks and Azure Data Factory. Azure Data Engineer Associate and Databricks Certified Data Engineer Professional AWS Proficiency with AWS Tools: Demonstrable experience using AWS Glue, AWS Lambda, Amazon Kinesis, Amazon EMR , Amazon Athena, Amazon DynamoDB, Amazon Cloudwatch, Amazon SNS and AWS ...

travel to Manchester. - Experience as in a DevOps role, or similar. CLOUD NATIVE DEVOPS ENGINEER ESSENTIAL SKILLS - Experience designing and building cloud solutions using AWS and DevOps best practices. - Ability to create and manage scalable infrastructure using Kubernetes, terraform, CloudFormation and serverless technologies. - Experience working directly with clients and project … application to our client in conjunction with this vacancy only. KEY SKILLS DEVOPS ENGINEER, DEVOPS, SITE RELIABILITY ENGINEER, PLATFROM ENGINEER, PLATFROM, CLOUD, CLOUD NATIVE, AWS, AWS CLOUD, AWS ENGINEER, ANSIBLE, TERRAFORM, CLOUD SUPPORT, CLOUD INFRASTRUCTURE, DEFENCE, NATIONAL SECURITY, DV CLEARED, DV CLEARANCE, SECURITY CLEARED, SC CLEARANCE ...

least one (ideally several) of the following: • Containerisation/Container Security; • Microservice Architectures; • API Development, REST, Swagger, OpenAPI, gRPC; • Cloud platforms and technologies, AWS, (e.g. Lambda, API Gateway, EKS), Azure, Google Cloud Platform (GCP); • Cloud native Apps, Kubernetes, OpenShift, MicroK8s; • Infrastructure as Code (IaC), automation & configuration management; • Ansible (plus Puppet ...

support. Create metrics to continuously evaluate the performance of machine learning solutions and improve the performance of existing machine learning solutions Build with AWS and Azure cloud computing services providing the necessary infrastructure, resources, and interfaces to enable data loading and LLM workflows. Use Python/Java and large-scale …/or finetuning LLM’s. Experience building/enhancing search and information retrieval systems Exposure/experience in containerization technologies like docker, Kubernetes, AWS EKS etc. Knowledge of popular Cloud computing vendor (AWS and Azure) infrastructure & services e.g. AWS Bedrock,AWS S3, AWS Sagemaker, Azure AI search, Azure OpenAI, Azure ...

operating and improving distributed systems, with a focus on reliability, performance and user impact. Experience of building applications hosted on cloud platforms such as AWS, Azure or Google Cloud. Ability to build code-defined, reliable and well-tested infrastructure using tools such as Terraform, CloudFormation or similar. Knowledge of Linux ...

operating and improving distributed systems, with a focus on reliability, performance and user impact. Experience of building applications hosted on cloud platforms such as AWS, Azure or Google Cloud. Ability to build code-defined, reliable and well-tested infrastructure using tools such as Terraform, CloudFormation or similar. Knowledge of Linux ...

collaborative approach between development and operations teams. Cloud Infrastructure and Containerisation Expertise: Must have: Expertise in one or more major public cloud providers (AWS, GCP, or Azure), encompassing network configuration, security best practices (IAM, security groups, etc.), compute services (EC2, GKE, ECS, etc.), and managed services (databases, queues, serverless functions ...

knowledge of Python frameworks such as Django, Flask, or FastAPI. Experience with SQL and NoSQL databases (e.g., PostgreSQL, MongoDB). Familiarity with cloud platforms (AWS, GCP, or Azure). Experience with containerization tools (Docker, Kubernetes is a plus). Strong problem-solving skills and attention to detail. Excellent communication ...

Developer copilots where they improve productivity and quality. Technical Skills Essential Strong Full Stack software engineering experience. React/Next.js. js/TypeScript. Strong AWS cloud‐native development experience. REST APIs and microservices. GitHub and modern Git workflows. CI/CD and continuous delivery. Automated testing. Agile product delivery. Desirable ...

growth. Promote a collaborative and innovative team culture. Skills & Experience Proven experience in Cloud, Platform or DevOps engineering roles. Strong experience in Azure and AWS cloud environments. Proven expertise with CI/CD tools (e.g., Azure DevOps, Pipelines, GitHub Actions, Jenkins). Leadership experience, both through delivery and developing technical ...

Experience We're looking for experience with several of the following: Java, C#, Python, Go or TypeScript React, Angular, Vue or Svelte Cloud experience (AWS, Azure or GCP) Infrastructure as Code CI/CD tools such as GitHub Actions, GitLab CI or Jenkins Desirable NoSQL technologies such as Elasticsearch Strong ...

several of the following: Strong commercial experience with Java, C#, Python, Go or TypeScript Frontend development using React, Angular, Vue or Svelte Cloud platforms (AWS, Azure or GCP) Infrastructure as Code CI/CD tools including GitHub Actions, GitLab CI, Jenkins etc. Experience building secure, accessible and high-performing applications ...

with geospatial data (raster and vector) Databases (NoSQL, SQL, Graph Dbs, Principles of RDBs) Data pipeline design skills Knowledge of cloud platforms like GCP, AWS or Azure Experience and understanding of CI/CD pipelines Collaborative code management using Git & GitHub Desirable: Experience with QGIS or ArcGIS Experience with Systems ...

more Flexible hybrid working The Role Lead Agile software engineering teams delivering enterprise-scale solutions Design and build cloud-native applications across AWS, Azure or GCP Stay hands-on with architecture, coding and technical decision-making Mentor engineers and champion engineering best practice Collaborate with clients to translate business requirements ...

Technical Lead: Proven experience as a Technical Lead or Senior engineer Strong software engineering and system design background Experience delivering enterprise applications on AWS, Azure or GCP Proficiency in JavaScript, Java or .NET Agile delivery experience (Scrum/Kanban) Knowledge of DevOps, CI/CD, infrastructure-as-code and modern ...

databases Microsoft Excel or Google Sheets AI model testing and evaluation Prompt engineering Git/GitHub (desirable) Cloud platforms such as Microsoft Azure, AWS, or Google Cloud (desirable) Soft Skills Excellent communication skills Strong attention to detail Analytical and critical thinking Problem-solving ability Organisation and time management Teamwork ...

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 ...

some of the following areas is required: Java development JavaScript, HTML and web technologies Linux and/or Windows environments Bash and PowerShell scripting AWS, Azure or other cloud platforms Elasticsearch, MongoDB or similar databases Docker and containerised environments Monitoring and logging platforms such as ELK Agile delivery environments ...

ability to explain technical concepts clearly and build effective relationships with a range of stakeholders. Experience of working with cloud platforms such as AWS, Azure or Google Cloud, applying modern DevOps and SRE practices. Experience designing and delivering infrastructure-as-code solutions using tools such as Terraform, CloudFormation or similar. ...

Strong Git/version control experience Exposure to the following skills is advantageous but not essential: - Experience with multi-cloud or hybrid cloud environments (AWS, Azure, on-premise). Exposure to service mesh technologies (e.g., Istio, Linkerd) and configuration management tools (e.g., Chef, Puppet). Knowledge of site reliability engineering ...

verbal A pragmatic, delivery-focused approach to working in an agile setting Bonus points if you bring: Experience with Docker, Kubernetes, or cloud platforms (AWS, GCP, Azure) Familiarity with CI/CD pipelines and observability tools (e.g. Grafana, CloudWatch) Exposure to AI-based code editors or frontend/mobile frameworks ...

cluster management, networking, and security. Automation Mastery: Extensive experience with Terraform (IaC) and GitOps practices. Cloud Architecture: Proficiency in managing multi-cloud environments (AWS, Hetzner, GCP). Technical Depth: Strong understanding of service mesh and microservices architecture. Observability: Solid experience with observability tools for metrics, logging, and tracing. Security Mindset ...