151 to 175 of 273 Cloud Native Jobs in Manchester

building solutions within a DevSecOps and Agile ecosystem DV Cleared Responsibilities: Deliver features end-to-end, support new design features, and resolve bugs Develop cloud-native and containerised applications Build solutions as part of a DevSecOps and Agile ecosystem Ensure solutions are reliable and resilient using Site Reliability More ❯

DV Cleared Within this role, you will be responsible for: Help deliver features end to end, support new design features and resolve bugs Deliver cloud native and containerised applications Build solutions as part of a DevSecOps and Agile ecosystem Ensure solution works in a reliable and resilient way More ❯

their industry. You'd join a large engineering department and would be responsible for leading a cross functional product-based team building highly scalable, cloud-native, event-driven systems in a high-traffic, DevOps environment. As a Software Engineering Lead, you'll spend 75% of your time on More ❯

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 Kubernetes (EKS) TeamCity for CI/CD (lots of teams are releasing code 15-20 times per day!) Terraform More ❯

a data role. At least 3 years’ professional experience developing data pipelines and ETLs using Microsoft products. Minimum 1 year of experience working with cloud-native technologies like Azure Data Factory. Demonstrable experience of delivering technical work within time and budget constraints. Good understanding of data security best … in a cross-functional team to deliver technical solutions. Desirable Skills: Experience with SQL Server, SSIS, Azure Data Factory, and Azure SQL. Experience with Cloud and Infrastructure as Code, particularly in an Azure setting using Bicep. Understanding of DevOps practices and the associated benefits. Skill in database testing including More ❯

a data role. At least 3 years’ professional experience developing data pipelines and ETLs using Microsoft products. Minimum 1 year of experience working with cloud-native technologies like Azure Data Factory. Demonstrable experience of delivering technical work within time and budget constraints. Good understanding of data security best … in a cross-functional team to deliver technical solutions. Desirable Skills: Experience with SQL Server, SSIS, Azure Data Factory, and Azure SQL. Experience with Cloud and Infrastructure as Code, particularly in an Azure setting using Bicep. Understanding of DevOps practices and the associated benefits. Skill in database testing including More ❯

a data role. At least 3 years’ professional experience developing data pipelines and ETLs using Microsoft products. Minimum 1 year of experience working with cloud-native technologies like Azure Data Factory. Demonstrable experience of delivering technical work within time and budget constraints. Good understanding of data security best … in a cross-functional team to deliver technical solutions. Desirable Skills: Experience with SQL Server, SSIS, Azure Data Factory, and Azure SQL. Experience with Cloud and Infrastructure as Code, particularly in an Azure setting using Bicep. Understanding of DevOps practices and the associated benefits. Skill in database testing including More ❯

is delivered in the cloud. As part of this journey, they’re hiring a DevOps Engineer to help drive deployment practices for their flagship cloud-native platform. What you’ll do: Join a collaborative 8-person DevOps team dedicated to a single product Focus on software deployment, version … Familiarity with Azure DevOps, Git, and branching/version control best practices Strong understanding of deployment processes within a software engineering context Experience with cloud providers (AWS, GCP, or Azure) An understanding of Kubernetes/Docker Important details: Salary up to £65,000 + 10% bonus (depending on experience More ❯

is delivered in the cloud. As part of this journey, they’re hiring a DevOps Engineer to help drive deployment practices for their flagship cloud-native platform. What you’ll do: Join a collaborative 8-person DevOps team dedicated to a single product Focus on software deployment, version … Familiarity with Azure DevOps, Git, and branching/version control best practices Strong understanding of deployment processes within a software engineering context Experience with cloud providers (AWS, GCP, or Azure) An understanding of Kubernetes/Docker Important details: Salary up to £65,000 + 10% bonus (depending on experience More ❯

is delivered in the cloud. As part of this journey, they’re hiring a DevOps Engineer to help drive deployment practices for their flagship cloud-native platform. What you’ll do: Join a collaborative 8-person DevOps team dedicated to a single product Focus on software deployment, version … Familiarity with Azure DevOps, Git, and branching/version control best practices Strong understanding of deployment processes within a software engineering context Experience with cloud providers (AWS, GCP, or Azure) An understanding of Kubernetes/Docker Important details: Salary up to £65,000 + 10% bonus (depending on experience More ❯

their industry. You’d join a large engineering department and would be responsible for leading a cross functional product-based team building highly scalable, cloud-native, event-driven systems in a high-traffic, DevOps environment. As a Software Engineering Manager, you’ll spend 75% of your time on More ❯

their industry. You’d join a large engineering department and would be responsible for leading a cross functional product-based team building highly scalable, cloud-native, event-driven systems in a high-traffic, DevOps environment. As a Software Engineering Manager, you’ll spend 75% of your time on More ❯

by some of the world’s leading financial institutions to streamline international payments and ensure compliance at scale - all through smart automation and modern cloud-native infrastructure. They’re looking to bring on a Site Reliability Engineer with deep experience in observability . If you’ve worked with More ❯

by some of the world’s leading financial institutions to streamline international payments and ensure compliance at scale - all through smart automation and modern cloud-native infrastructure. They’re looking to bring on a Site Reliability Engineer with deep experience in observability . If you’ve worked with More ❯

by some of the world’s leading financial institutions to streamline international payments and ensure compliance at scale - all through smart automation and modern cloud-native infrastructure. They’re looking to bring on a Site Reliability Engineer with deep experience in observability . If you’ve worked with More ❯

complex problem-solving. Ideal Candidate: Proven track record of leading engineering teams in fast-paced, distributed environments. Deep technical knowledge in C# .NET and cloud-native development (ideally AWS). Hands-on experience with Kubernetes , Terraform , and modern DevOps pipelines. Familiarity with GraphQL and API-first architectures. Strong More ❯

Responsibilities - Senior AI/ML Engineer: Design, train, and deploy advanced machine learning and behavioural intelligence models. Lead the transition of prototypes into scalable, cloud-native production systems. Architect data pipelines and model-serving infrastructure (Docker, Kubernetes, MLOps). Work with large-scale time series and behavioural data More ❯

Scientist - Senior AI/ML Engineer: Design, train, and deploy advanced machine learning and behavioural intelligence models. Lead the transition of prototypes into scalable, cloud-native production systems. Architect data pipelines and model-serving infrastructure (Docker, Kubernetes, MLOps). Work with large-scale time series and behavioural data More ❯

Responsibilities - Senior AI/ML Engineer: Design, train, and deploy advanced machine learning and behavioural intelligence models. Lead the transition of prototypes into scalable, cloud-native production systems. Architect data pipelines and model-serving infrastructure (Docker, Kubernetes, MLOps). Work with large-scale time series and behavioural data More ❯

Scientist - Senior AI/ML Engineer: Design, train, and deploy advanced machine learning and behavioural intelligence models. Lead the transition of prototypes into scalable, cloud-native production systems. Architect data pipelines and model-serving infrastructure (Docker, Kubernetes, MLOps). Work with large-scale time series and behavioural data More ❯

Responsibilities - Senior AI/ML Engineer: Design, train, and deploy advanced machine learning and behavioural intelligence models. Lead the transition of prototypes into scalable, cloud-native production systems. Architect data pipelines and model-serving infrastructure (Docker, Kubernetes, MLOps). Work with large-scale time series and behavioural data More ❯

Scientist - Senior AI/ML Engineer: Design, train, and deploy advanced machine learning and behavioural intelligence models. Lead the transition of prototypes into scalable, cloud-native production systems. Architect data pipelines and model-serving infrastructure (Docker, Kubernetes, MLOps). Work with large-scale time series and behavioural data More ❯

results You’re fluent in one of Java/C#/Python/React/Typescript. You have recent experience building, deploying, and running cloud-native applications on top of AWS and/or Azure You're used to working in DevOps teams with industry-standard practices You More ❯

results You’re fluent in one of Java/C#/Python/React/Typescript. You have recent experience building, deploying, and running cloud-native applications on top of AWS and/or Azure You're used to working in DevOps teams with industry-standard practices You More ❯

results You’re fluent in one of Java/C#/Python/React/Typescript. You have recent experience building, deploying, and running cloud-native applications on top of AWS and/or Azure You're used to working in DevOps teams with industry-standard practices You More ❯