1 to 25 of 84 Remote/Hybrid AWS Jobs in Manchester

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. ...

delivering services within central government or highly regulated environments Knowledge of CI/CD pipelines and DevOps practices Exposure to cloud-based infrastructure (e.g. AWS, Azure, or GCP) Additional Information Candidates must be SC clearance eligible Must be available to interview and start at short notice This role is inside ...

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 ...

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. ...

Nice to Have BDD experience and Gherkin syntax Exposure to observability and monitoring tools (Grafana, Prometheus, ELK, Datadog) Experience with Kubernetes or cloud platforms (AWS, Azure, or GCP) Experience with relational or NoSQL databases Working Pattern & Rate £400 per day (Inside IR35, via umbrella) Hybrid working: 2-3 days ...

tech and trends. Full stack experience will be sought, and Agile experience will be highly advantageous. Containerisation, DevOps/IaC and Cloud (AWS or Azure) experience would be valuable along with experience in some of the following: JavaScript Typescript Golang Python Hybrid Working 3 days per on site ...

working with Large Language Models such as OpenAI, Anthropic, Llama or Mistral Exposure to Retrieval Augmented Generation or AI agents is beneficial Experience with AWS or Azure Docker and containerisation experience, Kubernetes beneficial Experience with CI CD pipelines using GitHub, GitLab or Jenkins Eligibility Must be eligible to work ...

Large Language Models such as OpenAI, Anthropic, Llama or Mistral * Experience with Retrieval Augmented Generation, AI agents or similar GenAI architectures * Experience working with AWS or Azure in production environments * Docker and containerisation experience, Kubernetes desirable * Experience building and maintaining CI CD pipelines using GitHub, GitLab or Jenkins * Experience contributing ...

expect to apply XP techniques like TDD and SOLID and be comfortable with practices like IaC, CI/CD and Observability. Skills: Python GCP, AWS Kubernetes, Docker, ECS FastAPI, Django PostgreSQL, MongoDB Serverless, Container-based and Event Driven Architectures The money is good too – up to £100k plus benefits including ...

What We're Looking For Extensive experience in Cloud/Platform Engineering , with time spent in a senior or principal capacity Deep expertise in AWS and/or Azure at an architectural level Advanced proficiency in Infrastructure as Code (Terraform strongly preferred) Strong experience with Git-based workflows (e.g. GitHub ...

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 ...

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 ...

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 ...

Solid understanding of RESTful API design and implementation Git based source control and JIRA Bonus points for: Knowledge/experience working with Cloud, preferably AWS Knowledge of AI/ML and latest AI trends & technologies Familiarity in LLM frameworks and libraries such as LangChain, Langfuse, LiteLLM CI/CD/ ...

Kinesis) and change data capture (CDC). Messaging (e.g. RabbitMQ, SQS). Docker and Kubernetes. Solution and architecture design. Test-driven development (TDD). AWS cloud infrastructure (ECS, EKS, CodePipeline, RDS, CloudWatch). Previous experience working in e-commerce and/or financial services. Experience using GenAI tools, such ...

platform expertise Comfortable in a strategic, less hands-on role Thrives in a fast-paced, scaling environment. Technical Environment Cloud (Essential) Strong Azure experience AWS exposure beneficial Focus on scalable, secure, cost-efficient design Data Platforms Databricks | Snowflake | Microsoft Fabric Engineering & Tooling CI/CD: GitHub, Azure DevOps Infrastructure ...

will be required to evidence your clearance) Required Skills & Experience Strong experience designing modern cloud-based data platforms. Hands-on architectural experience with: AWS (essential): S3, EMR, Glue Kafka/event streaming architectures Python & PySpark-based data processing Experience designing data ingestion pipelines (batch and real-time). Proficiency ...

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 ...

deep technical level, leveraging your familiarity with languages and frameworks such as Golang, Java, JavaScript, .NET, Node, Python, Rust, and cloud platforms (AWS, Azure, and GCP). You might be mentoring a team or leading as a technical expert. You’ll be keen to develop not just your own skills ...

Experience in network automation (Python or Ansible) Experience in Infrastructure as Code (IAC), ie Terraform Experience working on cloud platforms (AWS, Azure ...

culture of rapid iteration, high standards, and continuous improvement. Our stack includes Node.js microservices, Vue.js, Redis, SQL Server, Snowflake , all deployed in AWS , with a strong focus on DevSecOps and daily production releases. Key Responsibilities Collaborate with stakeholders on solution design, scoping, and system architecture Explore and de-risk complex ...

Identifying and mitigating technical risks What They're Looking For Experience as a Solution/Technical/Application Architect Strong understanding of cloud platforms (AWS, Azure or similar) Experience with APIs, microservices, and integration architectures Experience working across enterprise applications (e.g. ERP, portals, policy systems) Knowledge of Agile/DevOps ...

looking for a role with a high level of autonomy and the opportunity to work on complex technical challenges. Skills: TypeScript (Node, React) and AWS (serverless) REST APIs NoSQL database (DocumentDB, MongoDB etc.) Graph database (GraphDB, Neo4j etc.) Search technologies such (SOLR, Opensearch, ElasticSearch etc.) The money is good ...

.NET 10.0, ASP.NET Core, C# 14, .NET Aspire, CI/CD, Azure DevOps, EF Core 10.0, Agile, HTML Living Standard, CSS Living Standard, Azure, AWS, Node.js, Elasticsearch and MongoDB. This is a great opportunity to work alongside smart, driven people who will inspire you every day. You will have ...

data science, machine learning, or insurance risk or retail pricing. Experience in Azure ML or Databricks, or similar industry approved technology stack (i.e. AWS, Kubernetes and Docker, Google Cloud) Understanding of machine learning models and the modelling process, from data ingestion and cleaning to deployment and modelling – from the ground ...