1 to 25 of 106 Remote/Hybrid AWS Jobs in Manchester

architecture and operations Helm charts, Kustomize Security & Compliance: Identity and Access Management (IAM) ( eg Microsoft Entra/Azure AD) Secrets management (Key Vault, AWS Secrets Manager) Secure code life cycle (Sonarcloud, Checkmarx) DevOps & Automation Skills: CI/CD pipelines (Azure DevOps, GitHub Actions, GitLab CI, Octopus) Proficiency with Git version ...

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. ...

like Hive/Hadoop and Apache Spark. Expertise in data modeling, schema design, and data visualization tools. Experience working in GCP and/or AWS is a plus. Experience with JavaScript, Node.js and React is nice to have. Experience deploying services on Kubernetes is a plus. Knowledge of CI/ ...

scripting tools such as Python, PowerShell and CI/CD tools for automation Have good experience of using Cloud solutions such as Azure & AWS and containerized environments (Kubernetes, OpenShift) to implement cloud-native monitoring Have good knowledge of ITSM/incident management tools integration. Interacts with and influences colleagues ...

JavaScript/TypeScript, Java, C# Frameworks: Vue/Angular/React/Node/Next, Spring/Spring Boot, .NET/ASP.NET Cloud platforms: AWS, GCP, Azure CI/CD:Jenkins, GitHub Actions, Azure DevOps IaC: Terraform, CloudFormation, Azure Bicep Pragmatic and safe usage of AI through the SDLC (e.g. ...

strategy, reusable assets, and internal standards What We're Looking For Proven experience in a Senior Cloud/Platform Engineering role Strong expertise in AWS and/or Azure environments Advanced experience with Infrastructure as Code (Terraform preferred) Solid experience with Git-based version control (e.g. GitHub) Strong knowledge ...

standards. Strong practical experience of public cloud technologies and cloud-native design including hosting, containerisation and networking patterns with proficiency across platforms such as AWS, Microsoft Azure and Google Cloud Platform (GCP). Solid understanding of Agile delivery methodologies with proven application of best practices in complex cross-functional technology ...

clients Contributing to architecture decisions and engineering best practices Supporting the deployment and monitoring of ML applications in production Tech environment includes: Python AWS/Azure/GCP Kubernetes & Docker FastAPI Infrastructure as Code CI/CD pipelines ML frameworks such as PyTorch/TensorFlow What they’re looking ...

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 ...

broad knowledge across the following Security Domains and their capabilities within Azure/GCP and SME experience in at least one area. Familiarity in AWS is also desirable. • AI/ML security: Knowledge of AI/ML threats and risks, with experience applying security controls for secure deployment ...

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 ...

another high-performing, large-scale technology environment Strong understanding of software architecture, microservices and event-driven systems Experience working with cloud platforms such as AWS, GCP or Azure Excellent problem-solving and communication skills Passion for engineering excellence and delivering high-quality software What's On Offer Salary ...

Decision Trees, Random Forests, Neural Nets and Clustering Experience in DevOps and Azure ML, or other MLOps and ML Lifecycle technology stacks, such as AWS, Databricks, Google Cloud, etc. Experience with deploying services in Docker and Kubernetes Experience in creating production grade coding and SOLID programming principles, including test-driven ...

Familiarity with delivery methodologies including Agile, Waterfall or SAFe Experience with tooling such as Jira, Confluence or similar platforms Exposure to cloud platforms including AWS, Azure or GCP and technologies such as Databricks, Snowflake, SQL or Python Financial services experience within capital markets or broader banking environments This ...

patterns, evaluation frameworks and integration design Using Python and SQL to build robust, scalable AI and data solutions Working with cloud platforms such as AWS, Azure, GCP or Databricks Supporting MLOps, LLMOps, CI/CD and software engineering best practice Collaborating with technical and non-technical stakeholders across complex programmes ...

building microservices using Java for container platforms such as Docker or Kubernetes Solid understanding of databases SQL and NoSQL Hands‐on experience working with AWS, GCP or similar cloud services Experience with a breadth of protocols and data formats such as REST, WebSockets, HTTPS, JSON, and Protobuf Demonstrated ability ...

team engagement. A passion for outcome driven delivery, continuous improvement and pragmatic innovation. Technical expertise we value: .NET, Angular/React/Vue, AWS (or equivalent cloud platforms), test automation, microservices, APIs and object oriented programming. About AJ Bell AJ Bell is one of the UKs fastest growing investment platforms ...

areas such as: Leading development teams in a commercial environment Managing multiple development workstreams, teams or technical functions Modern cloud environments (Azure preferred, AWS/GCP considered) CI/CD, delivery planning and engineering governance SQL in production environments Hands‐on technical capability – able to review code, troubleshoot issues ...

Strong software engineering background in C#, Java, Python, or Go Previous experience leading or managing engineering teams Experience working with cloud platforms such as AWS Knowledge of Infrastructure as Code tools such as Terraform Experience with TDD and automated testing practices Strong stakeholder management and communication skills A collaborative leadership ...

provide training in: .NET 10.0, ASP.NET Core, C# 14, Azure SQL, .NET MAUI, GitHub Copilot, Docker, Kubernetes, Microservices architecture, Angular 21, Vue.js, TypeScript, Azure, AWS, Node.js, Elasticsearch, Agile, TDD, BDD, Scrum, Kanban and MongoDB. This is your opportunity to be part of a new, technically challenging project ...

mentoring within multidisciplinary teams Experience Required: Experience designing AI, ML or modern data architectures within enterprise environments Strong understanding of cloud platforms such as AWS, Azure, GCP, Databricks or similar technologies Experience architecting scalable AI and ML solutions across serverless, containerised or GPU enabled environments Experience with LLMs, prompt engineering ...

mentoring within multidisciplinary teams Experience Required: Experience designing AI, ML or modern data architectures within enterprise environments Strong understanding of cloud platforms such as AWS, Azure, GCP, Databricks or similar technologies Experience architecting scalable AI and ML solutions across serverless, containerised or GPU enabled environments Experience with LLMs, prompt engineering ...

technical leader who prioritizes high-impact delivery over routine maintenance. Tech Stack Backend: Python, FastAPI, Ruby on Rails Frontend: React.js, Next.js, React Native Cloud: AWS, Terraform, Ansible, Docker Logging & Monitoring: Splunk Practices: Cross - functional squads, Agile, transitioning toward TDD Experience Strong experience in full - stack development (Python or Ruby ...

following is desirable: .NET 10.0, C# 14, Azure SQL, .NET MAUI, GitHub Copilot, Docker, Kubernetes, Microservices architecture, Angular 21, Vue.js, TypeScript, Azure, AWS, Node.js, Elasticsearch, Agile, TDD, BDD, Scrum, Kanban and MongoDB. Training will be provided in any of the technologies you lack, allowing you to turn your technological weaknesses ...

have experience in all of this, but if you do, that's great! Java, which makes up the majority of our backend codebase AWS & GCP – we're cloud‐native Microservice based architecture TeamCity for CI/CD (with multiple production releases per day) Terraform and Grafana Interviewing Interviewing ...