26 to 50 of 257 AWS Jobs in Manchester

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 ...

following .NET MAUI, Java Play Framework Experience developing or integrating VoIP systems Experience with microservices architecture and docker Cloud platform experience (Azure/AWS) Experience working in Agile/Scrum environments WHAT WE ARE LOOKING FOR Strong ownership mindset and accountability Ability to work independently and lead technical initiatives Strong ...

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 ...

practices Mentoring colleagues and sharing knowledge across the team Tackling complex technical challenges and driving continuous improvement Tech stack includes: Java SQL React & TypeScript AWS Docker Kubernetes Terraform CI/CD & automated testing We'd love to hear from you if you: Have strong commercial Java development experience Enjoy working ...

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 ...

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. ...

with monitoring & observability tools (Prometheus, Grafana, ELK, or similar). Strong Git/version control experience. 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 ...

Kubernetes). In-depth knowledge of Linux operating systems, focusing on Debian and RHEL/CentOS. Cloud service providers such as Google Cloud Platform, AWS (knowledge of other platforms such as Azure would also be beneficial). Infrastructure as Code best practises (Terraform). Configuration Management (e.g. Ansible, Puppet, Packer ...

MySQL, MongoDB, DynamoDB) You have a strong appreciation of DevOps, CI/CD, GitHub Actions, Jenkins You're familiar with containerisation (Docker), cloud services (AWS), and Infrastructure-as-Code (Terraform) You're comfortable taking ownership of projects, working with the Lead Engineer and mentoring more junior team members ...

pipelines from experimentation to production Lead model development across NLP, computer vision, and time‐series forecasting Architect scalable model serving infrastructure on cloud platforms (AWS/GCP/Azure) Conduct rigorous model evaluation, A/B testing, and performance monitoring Mentor junior ML engineers and conduct technical code reviews Collaborate ...

training and serving machine learning models, building large-scale inference services, or integrating . Experience deploying ML services in a cloud environment, for example AWS, Google Cloud or Azure, along with modern DevOps practices and infrastructure-as-code tooling. Fluency in our core tooling: Git, Unix/Linux, Docker ...

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 ...

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 ...

capability and implementation strategy Environment Python LLMs, prompt engineering, fine-tuning, RAG LangChain, LangGraph, Agent frameworks Vector databases and semantic search MLOps and LLMOps AWS, Azure, GCP, Databricks Containerisation, Kubernetes and GPU infrastructure Requirements Experience designing enterprise AI or ML architectures Strong understanding of cloud and modern data platforms Exposure ...

guide technical decisions, review code meaningfully, and set the standard for your squad. Familiarity with our core stack – Node/TypeScript, React, Java, AWS, Kubernetes, and Kafka – or a comparable modern stack; deep expertise in some areas, with the breadth to engage credibly across the rest. A strong grasp ...

Collaborative engineering community and mentoring opportunities How You'll Make an Impact as a Senior DevOps Engineer Design and support cloud-native platforms across AWS and Azure Implement DevSecOps and Infrastructure as Code best practices Drive platform reliability using SRE principles and observability tools Support incident management and continuous improvement ...

development follows established processes and works as intended Required experience Experience of working in an Agile/SCRUM/DevOps delivery model Cloud technologies (AWS or Azure) Infrastructure as code e.g. Terraform, Puppet, Chef, Ansible etc. Experience in building and deploying large-scale applications in Continuous Integration/Delivery pipelines ...

refactoring complex codebases. Deep knowledge of distributed systems, data architecture, CI/CD, Kubernetes, secure enterprise networking, and at least one major cloud provider (AWS, Azure, or GCP). Hands-on expertise in scalable data pipelines and cloud data platforms like Snowflake, Databricks, Redshift, or BigQuery, alongside familiarity with ...

software development lifecycle with a proven ability to guide teams through design, architecture, development, testing and deployment including Node, React, Javascript, and AWS/GCP Proven capability to make technical tradeoffs based on changing business priorities and technical roadmaps Proven record of implementing essential software engineering practices including code review ...

software development lifecycle with a proven ability to guide teams through design, architecture, development, testing and deployment including Node, React, Javascript, and AWS/GCP Proven capability to make technical tradeoffs based on changing business priorities and technical roadmaps Proven record of implementing essential software engineering practices including code review ...

Kotlin/Java, Spring Boot and microservices within multidisciplinary Agile teams. You’ll mentor engineers, own CI/CD pipelines, drive cloud‐native deployments (AWS/Azure/GCP) and collaborate with product, design and data specialists to solve complex challenges. #J-18808-Ljbffr ...

platform capability and implementation strategy Tech environment: Python LLMs (prompt engineering, fine-tuning, RAG) LangChain/LangGraph Agent frameworks Vector databases MLOps/LLMOps AWS/Azure/GCP/Databricks Kubernetes & GPU infrastructure What you'll bring: - Experience designing enterprise AI or ML architectures - Strong grasp of cloud ...

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 ...