1 to 25 of 69 AWS Jobs in Tyne and Wear

Some proficiency in multiple programming languages such as Python, JavaScript, or similar. Extensive experience writing well-tested code. Good knowledge of cloud platforms (e.g., AWS, Azure, GCP) and infrastructure as code Experience with CI/CD pipelines and automated testing frameworks. Experience with various architecture patterns eg microservices and event ...

code quality and analysis tools (e.g., SonarQube). Background with job scheduling platforms such as Control-M. Experience with major cloud providers (Azure, AWS, GCP). Familiarity with VMware (vSphere) and storage area networks. Previous experience in financial services would be advantageous, though not a requirement. This is an exceptional ...

Engineers to learn and grow. Essential Skills: Python JavaScript/Typescript. They use Vue.js but are open to any React.js engineers AWS/GCP MongoDB DynamoDB Nice to haves: Experience building a product from scratch Kubernetes/Terraform experience Architecture background ...

problem-solving, communication, and documentation skills. Familiarity with AI/ML data pipelines and analytics platforms. Preferred Qualifications: Experience with cloud data platforms (e.g., AWS, Azure, Google Cloud). Experience with big data technologies (e.g., Hadoop, Spark, Kafka). Experience with UML/SYSML. Strong understanding of API integration ...

initiatives. What I'm Looking For: Strong grounding in software engineering with experience working across full lifecycle development. Solid experience with cloud platforms (e.g., AWS, Azure, GCP), ideally including infrastructure-as-code tooling. Working knowledge of observability/monitoring platforms and best practices. Familiarity with CI/CD processes, build ...

innovation across the development lifecycle Essential Skills: Expert-level proficiency in HTML, CSS, JavaScript Strong experience with React. Familiarity with cloud platforms (Azure or AWS) Experience with CI/CD and API integration Ability to mentor and collaborate effectively within a team Desirable Extras: Experience with Docker and backend ...

MongoDB or other NoSQL technologies. Familiarity with distributed systems and microservice-based architectures. Desirable Experience Experience deploying and operating applications in cloud environments (e.g. AWS). Familiarity with CI/CD pipelines, automated testing, and modern DevOps practices. Experience with frameworks such as Next.js and testing tools such as Cypress ...

building high-quality software end-to-end and influencing technical direction (without people management). Tech Stack Frontend: React (JavaScript) Backend: Node.js (JavaScript) Cloud: AWS (Lambda, DynamoDB, CloudWatch) Architecture: Microservices + REST APIs Bonus: AG Grid/data-heavy UI experience What you'll be doing Owning features ...

data governance frameworks Strong understanding of data security and compliance requirements Excellent communication, problem-solving and documentation skills Desirable: Experience with cloud data platforms (AWS, Azure or GCP) Exposure to big data technologies (Hadoop, Spark, Kafka) Familiarity with ETL/orchestration tools (e.g. Informatica, Talend, Airflow) Experience with API integration ...

compliance checks. The Requirements* Hands-on experience in a DevOps, SRE, or similar role.* Strong proficiency with at least one major cloud provider (AWS, Azure, or GCP).* In-depth knowledge of container orchestration.* Demonstrable experience with CI/CD tools like Jenkins, GitHub Actions, or Azure DevOps.* Expertise ...

define and refine platform features Technical Skills Required Proficiency in C# .NET Experience in testing software and version control Familiarity with NoSQL databases AWS experience Experience with CI/CD tools (e.g., Github) Nice to Have Experience with microservices architecture Familiarity with RESTful APIs Exposure to Docker or Kubernetes Experience ...

deploying and supporting ML models in production Solid understanding of data pipelines, versioning, testing, and software engineering best practices Experience working with cloud platforms (AWS, GCP, or Azure) Nice to Have Experience with fraud, risk, credit, AML, pricing, or customer analytics use cases Familiarity with MLOps tools (MLflow, Kubeflow, Airflow ...

focus Experience designing, supporting, and operating ML systems in production Technical environment (experience expected across most of these) MLflow (expert-level) Databricks Cloud platforms (AWS preferred; SageMaker exposure a bonus) CI/CD for ML workloads Docker and Kubernetes Infrastructure as Code (Terraform or similar) Python-based ML workflows ...

around 294 days' worth of testing every day through automation. Our APIs receive 173 million requests, and we spin up 280,000 AWS servers every month. Over 22 million people - 1/3 of the UK's adult population access our services daily. Over 100,000 colleagues and agents ...

stores or other types of databases, that's a bonus Infra: You have some experience of configuring, deploying and monitoring applications using AWS, GCP or another cloud provider Documentation: You can succinctly and clearly document technical decisions and processes GIF selection: Hands on experience with disappearing Homer, crying Dawson, dramatic ...

looking for engineers who have this. JavaScript & React - mainly a backend role but frontend experience would be good. Other skills - SQL, APIs, Microservices, AWS - most of this is non-essential. Confident collaborating with multiple teams. Happy working on different technical environments – platform, solutions, languages. Open to mentoring or leading teams ...

experience leveraging Google Cloud Platform (GCP) and its associated tools for the deployment and management of real-time data ingestion and processing services. (While AWS knowledge is valuable, GCP expertise is primary.) Distributed Streaming: Strong familiarity with distributed streaming technologies, such as Kafka or similar platforms. Programming & Scripting: Expert proficiency ...

both small and complex tasks, and it is used across many different industries. Step 3 - Build a Portfolio Website Project Additional Courses AWS Certified Cloud Practitioner Microsoft Certified: Azure Administrator Associate Step 4 -Entry Level Development placement (£25K - £40k) We work with you to secure your first role in software ...

common UI design patterns like MVVM, MVC and MVP - Familiar with Web Services and Rest APIs - Familiar with GIT, GitHub, Azure DevOps, Jenkins and AWS technologies - Familiar with Unit Testing/MOCK frameworks - Interested in writing high quality, robust code involving approaches such as unit testing, code coverage and static ...

Salesforce development. Familiarity with Agile frameworks (Scrum/Kanban), DevOps practices, and tools like Jira, Git, and CI/CD. Knowledge of cloud platforms (AWS/Azure) and integration technologies (SOAP/REST APIs, OAuth). Excellent leadership, communication, and problem-solving skills. Salesforce certifications or experience highly desirable. Location ...

understanding of object-oriented programming Experience working with databases and SQL Familiarity with Git and agile development Nice to Have: Cloud experience (Azure or AWS) CI/CD exposure Mentoring or leadership experience Passion for Infrastructure tools ...

learn and grow. Desired qualifications: Experience with Typescript. Experience with Svelte, web components, or equivalent component model. Experience with cloud platforms such as AWS, and databases such as Postgres and Snowflake. Experience with SQL-Like databases and data caching strategies such as Postgres, Snowflake, and Redis. About Accelerant: Accelerant ...

closely with Engineering, Legal, and Technology teams on secure delivery. ?? What They're Looking For Must-Have Skills Strong experience with Google Cloud Platform (AWS exposure also useful). Solid knowledge of Terraform and Infrastructure as Code. Ability to build and deploy cloud solutions independently . Understanding of security principles ...

modelling, experimentation and inference Advanced Python skills (NumPy, pandas, scikit-learn, PyTorch or TensorFlow) Experience building, deploying and optimising ML models in production Strong AWS experience (e.g. SageMaker, Lambda or similar services) Expert SQL skills and experience working with large, complex datasets Solid data engineering fundamentals, including pipelines and APIs ...

similar Experience with CI/CD tools and methodologies (e.g., Git, Jenkins, Concourse). Knowledge of testing in microservices and cloud-based architectures (AWS/Azure). Familiarity with collaboration tools like Jira and Confluence. ...