1 to 25 of 209 Remote/Hybrid AWS Jobs in Manchester

Hybrid WORKING Location: Manchester, North West - United Kingdom Type: Permanent An exciting opportunity is available for an experienced Cloud Engineer/AWS Developer to join a specialist engineering team delivering secure, mission-critical technology for UK National Security customers. The role offers the chance to design, develop, deploy and maintain … Solutions Architect, Developer or DevOps Engineer. Microservices architecture and API design. Docker and container orchestration or runtime platforms, including Kubernetes, Amazon EKS and Amazon ECS. AWS operational practices, including monitoring, observability, performance optimisation and FinOps. CI/CD tooling such as Jenkins, Bamboo, TeamCity or Bitbucket. Automated testing frameworks ...

rewards initiative and flexibility and enjoy a career path tailored to your own aspirations. We are seeking passionate and experienced Senior/Lead-level AWS DevOps specialists to join our engineering discipline. You will be empowered to apply your expertise in designing and implementing DevOps strategies to build national-scale … Delivery phases, GDS Service Manual, etc.). Experience working with some, or all, of the following tools and technologies: GitHub Actions Drone.io Hashicorp Terraform AWS CloudFormation Docker Hashicorp Vagrant AWS CloudWatch AWS EventBridge AWS Security Hub (and supporting technologies) AWS CI/CD technologies (CodeBuild, CodePipeline, CodeDeploy) AWS Systems Manager ...

Cloud Engineer (AWS) | Manchester| Hybrid Working An exciting opportunity for an experienced Cloud Engineer/AWS Developer to join a growing engineering team delivering innovative cloud-based solutions across complex and highly regulated environments. They're looking for a technically strong, self-motivated engineer who enjoys solving challenging problems, working … will work closely with engineers, stakeholders, and end users to understand requirements and deliver scalable, secure, and reliable cloud solutions using Amazon Web Services (AWS). They'll be part of a collaborative engineering environment that encourages innovation, continuous improvement, and the adoption of modern DevOps practices. Key Responsibilities Design ...

integration. GitHub Actions or wider DevOps tooling. Azure Monitor, Log Analytics and cloud observability. Microsoft Defender for Cloud and Azure security governance. Experience with AWS or multi-cloud environments. Experience delivering cloud transformation within Government, Defence or other regulated environments. Microsoft Azure certifications such ...

within complex digital environments. Strong understanding of software architecture, including distributed systems, microservices, event-driven and serverless architectures. Experience designing cloud-native solutions using AWS and/or Azure. Strong knowledge of GIS platforms, spatial data management and open-source geospatial technologies, including tools such as PostGIS, GeoServer, QGIS, Leaflet ...

experience listed below, don’t let that stop you from applying! Engineering and Data Engineering Hands-on Python experience Knowledge of cloud infrastructure like AWS, GCP or Azure Have used version control systems, specifically Git or similar tools Understanding of TDD and diverse testing methodologies, such as data quality, integration ...

Terraform and OpenAPI. Containerisation is a big part of empowering our teams to develop, deploy and scale their applications, but so too is using AWS Lambda and avoiding the complexity of stateful services altogether. Right tool for the job. For us, DevOps is about culture rather than roles and titles. ...

using Ansible, Bash, PowerShell, Puppet or Python. Managing virtualised and containerised environments including VMware, Docker, Kubernetes or OpenShift. Working with cloud platforms such as AWS, Microsoft Azure or Google Cloud. Using collaboration and delivery tools such as Jira, Confluence and Bitbucket within Agile environments. Monitoring and observability using tools such ...

/CD pipelines would be beneficial. • Experience with MuleSoft or other integration platforms and enterprise data platforms such as Snowflake, Databricks, Azure Data Lake, AWS or Google Cloud would be advantageous. • Understanding of batch ingestion, streaming ingestion, data federation, zero-copy, data sharing and near real-time activation patterns would ...

Engineering discipline. We are technology-agnostic, allowing you to select the best tools and platforms for each challenge. From .NET, Java, Python, Node.js, AWS, Azure, and more, you’ll deepen your technical expertise while shaping the way our teams deliver transformative solutions. This role offers flexibility to be based from ...

LangGraph, multi‐agent patterns or agent‐to‐agent protocols. Knowledge of data governance and model risk practices in financial services. Exposure to Azure/AWS or cross‐cloud patterns. Experience building communities of practice and engineering guilds. About working for us Our focus is to ensure we're inclusive every ...

Software Engineering role, with strong skills in .NET, Java or Python, plus modern JavaScript libraries. Experience designing scalable geospatial applications using AWS or Azure. Experience working with GIS platforms, geospatial data and spatial APIs. Knowledge of open geospatial technologies including PostGIS, GeoServer, OpenLayers, Leaflet, GDAL or QGIS. Experience with geospatial ...

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

Maven, Python) Frontend development and it’s ecosystem (JS/TS, React, Npm) Familiarity with CICD, containerisation, deployment technologies & cloud platforms (Jenkins, Kubernetes, Docker, AWS). Understanding of database technologies such as SQL, Elasticsearch or MongoDB Strong communication, collaboration & problem solving skills, ideally with some experience in agile ways ...

consulting and client delivery. Consultants have access to a vast array for different training and certifications in a variety of areas: cloud technologies (AWS, Azure, GCP), programming (Java, Kotlin, NodeJS, Spring Boot), DevOps (Terraform, Kubernetes, Docker), Cybersecurity (CISSP, CISM) and Agile delivery (Scrum Master, Product Owner, Scaled Agile Framework). ...

across frontend and backend development – enough to lead by example and contribute to technical decisions. Experience with our core stack — a Java Spring Boot, AWS, Kubernetes and Kafka back end, with a TypeScript/React front end. Experience designing and building services within a microservices or domain‐driven architecture — defining ...

industries. Understanding of software architecture, integration patterns and secure solution design. Experience with DevOps tooling such as Git, Jenkins, Docker or Kubernetes. Exposure to AWS, Azure and/or Google Cloud. Experience working within large, complex delivery environments. If you think you are right for the role, or know somebody ...

consulting and client delivery. Consultants have access to a vast array for different training and certifications in a variety of areas: cloud technologies (AWS, Azure, GCP), programming (Java, Kotlin, NodeJS, Spring Boot), DevOps (Terraform, Kubernetes, Docker), Cybersecurity (CISSP, CISM) and Agile delivery (Scrum Master, Product Owner, Scaled Agile Framework). ...

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

DevOps best practices across monitoring, logging and deployment The DevOps Engineer must have: 2+ years experience in DevOps/Platform Engineering Hands-on with: AWS , Terraform (or similar IaC tools) and CI/CD tooling Experience with containerisation (Docker, Kubernetes) Scripting experience ( Python, Bash or similar ) Solid understanding of Linux ...

DevOps Engineer, with strong skills in CI/CD, containerisation, deployment technologies and cloud platforms (such as Jenkins, Kubernetes, IaC, Docker and AWS). Experience in Linux system administration or similar operating systems. Understanding of database technologies, such as SQL, Elasticsearch or MongoDB. Strong communication, collaboration and problem‐solving skills ...

highly performing middle-tier components. Familiarisation with containerisation and tools like Docker and Kubernetes Experience of developing, deploying, and maintaining Cloud-Based solutions on AWS Understand principles behind highly performing web pages Experience/Familiarity with Entity framework core. Experience/Familiarity with communications technologies (Web API, Google Protocol Buffers ...

software engineering context. Familiarity with asynchronous & event-driven architectures. Experience with frameworks such as Spring Boot, Quarkus, Micronaut or Ktor. Cloud platforms such as AWS, Azure or GCP. Developing with containers Understanding the difference between relational, NoSQL and other persistence technologies. Experience building shared platforms, common services or greenfield technical ...

consulting and client delivery. Consultants have access to a vast array for different training and certifications in a variety of areas: cloud technologies (AWS, Azure, GCP), programming (Java, Kotlin, NodeJS, Spring Boot), DevOps (Terraform, Kubernetes, Docker), Cybersecurity (CISSP, CISM) and Agile delivery (Scrum Master, Product Owner, Scaled Agile Framework). ...

integration solutions using Apache Airflow (or similar orchestration platforms), Python, SQL and bash/linux. Experience developing cloud-native data platforms and solutions on AWS, including working with cloud data warehouse technologies such as Amazon Redshift and applying data modelling best practices. Good understanding of software engineering principles, including object ...