801 to 825 of 4,101 AWS Jobs in England

the engineering blog right here and if you'd like to check our reviews out on Glassdoor you can see these here . Our Tech Stack Backend Kotlin 1.7.20 AWS GraphQL (it would be nice if you were familiar with this but it's not a deal breaker) Postgres RabbitMQ Docker Kubernetes Frontend React & React Native, TypeScript, MobX, Redux, Stylus More ❯

experience setting technical direction across multiple teams. • Extensive experience in large scale machine learning, including building, deploying, scaling and securing ML infrastructure in cloud-native environments. • Strong experience with AWS services including SageMaker, Bedrock, S3, EC2, Lambda, IAM, VPC, ECS/EKS, DynamoDB, Kafka, CloudFormation and associated technologies such as Python • Proven ability to drive cross functional technical initiatives and More ❯

architectural level and propose solutions using Aiven's services Experience implementing proof of concepts as needed to work with Aiven services to address business requirements Knowledgeable of public clouds (AWS, Google, or Azure) and in the areas of compute, storage - block and object, networking, and security groups Linux operating system; demonstrable experience using various Linux utilities and tools (installation, securing More ❯

experience in C#/.Net or similar object-oriented languages (e.g., Java, Python ) Strong proficiency with SQL and experience working with relational databases Familiarity with cloud platforms (Azure or AWS) Proven ability to own projects end-to-end and thrive in fast-paced environments Passion for clean, maintainable code and modern software engineering practices Clear and professional communicator with both More ❯

and advance our electronic trading capabilities by analysing, designing, developing and testing solutions while building a comprehensive understanding of our eTrading platform. Technologies you will work with: Java SQL AWS and private cloud Docker Development tools - maven/git/bamboo What you offer Press space or enter keys to toggle section visibility Strong problem-solving skills with a focus More ❯

Software development tasks including working with python, scripting languages, and command line tools. Managing ESXI hypervisors. Ongoing upkeep of a Windows server domain and desktop workstations. Managing Azure and AWS cloud environments, using IaC approaches such as Terraform Upkeep and deployment of Linux servers (RedHat, Ubuntu, and and Debian variants). Designing, planning, and rolling out software and upgrades. Troubleshooting More ❯

technical maturity across the team Contribute to capability strategy, thought leadership, and tech community engagement You'll bring: Proven experience delivering secure, scalable platforms in a public cloud environment (AWS, Azure, or GCP) Strong background in IaaS , infrastructure design, and CI/CD tooling (Terraform, GitLab, GitHub Actions, Jenkins, etc.) A track record of making impactful technology decisions, leading execution More ❯

Technical Skills: Data Science and Machine Learning: Proficiency in tools like Python and SQL to build and deploy data-driven solutions. Cloud Platforms: Deep understanding of cloud platforms (e.g., AWS, Azure, GCP) and their data-related services for scalable and efficient data management. Data Engineering: Knowledge of data pipelines, ETL processes, and data warehousing to extract, transform, and load data More ❯

send us your CV. Accountabilities: Playing a pivotal role in the backend engineering team, you will help to build full-stack cloud apps. You'll be using Python and AWS Cloud services on the backend. Adopt a Server-less first approach to application design, collaborating within an agile team alongside other backend engineers and product designers. Strategize, develop, test, and More ❯

and DevOps maturity We're looking for candidates with: Strong experience working in or delivering to enterprise-scale environments Deep expertise with at least one major cloud provider (Azure, AWS, or GCP) Proficiency in IaC , automation tools , and CI/CD tooling Solid scripting and integration skills Ability to explain complex technology concepts to both technical and business stakeholders A More ❯

foundation in Python Experience with machine learning, familiar with Huggingface, Pytorch, and similar ML tools and packages Familiarity with deploying and scaling ML models in the cloud, particularly with AWS and SageMaker Understanding of DevOps processes and tools: CI/CD, Docker, Terraform, and monitoring/observability Bonus: experience with vector databases, semantic search, or event-driven systems like Kafka More ❯

of networking and internet technologies Good grasp of OOA, OOD, and OOP principles Experience with Agile development methods Excellent written and verbal communication skills Desirable Skills: Cloud platforms (Azure, AWS or GCP) Front-end frameworks such as Blazor, Angular, React or Vue Experience with Entity Framework Familiarity with scripting languages Knowledge of SOAP/REST services Understanding of cryptography and More ❯

What You'll Bring Proficiency in C#/.NET, or another object-oriented programming language such as Java or Python Experience with SQL databases and cloud platforms (Azure or AWS preferred) Strong problem-solving skills and an appetite for tackling challenging technical work Ability to work autonomously and take ownership from concept through to delivery Excellent communication skills and an More ❯

ZIA/ZPA), SCOM, SolarWinds, and Citrix Cloud. Experience working with hybrid cloud environments and Infrastructure as Code. Exposure to RedHat Linux, Microsoft Exchange, Active Directory, Certificate Management (PKI), AWS Route 53 and Office 365. Understanding of SD-WAN, LAN/WIFI, and video conferencing technologies. Acknowledgement of non-traditional pathways and openness to candidates with transferable skills from related More ❯

safe deployment practices. Maintain and expand documentation for system behavior, runbooks, and escalation flows. Tech Stack & Tooling Languages: Python (primary), Bash, T-SQL OS/Infrastructure: Linux, Windows, Docker, AWS Cloud services Monitoring & Alerting: DataDog, Grafana, custom tooling Automation/CI/CD: Git, TeamCity, Ansible, Terraform (optional) Databases: MS SQL Server, Snowflake General Any other duties commensurate with the More ❯

field. (Masters or PHD preferred) 2+ years of experience in data science roles, with a track record of delivering data science projects. Experience with cloud-based data platforms (e.g.: AWS, Azure, GCP). Experience with using Git for version control. Strong understanding of statistical analysis, machine learning, and predictive modelling techniques. Proficiency in Python and SQL programming languages. Proficiency with More ❯

modern JS framework such as React/Angular/Vue (7+ years). You may have GUI experience using WPF/MVVM.You must have deep cloud knowledge, Azure or AWS is fine as they have customers working with both platforms.You will have a strong command of SQL Server and API's, plus will be an advocate of software design patterns More ❯

role would be great for somebody who is: Proficient at writing Typescript applications deployed on Node.js runtime Good experience of unit, integration and functional testing Good experience within the AWS ecosystem including, ECS, RDS, Lambda, SQS and Streaming services Familiarity with Terraform and/or other IaaS models Good understanding of OOP principles, design patterns, API design and event-driven More ❯

requirements Windows system administration experience, covering Windows 10 and Server 2012, 2016, 2019 Linux administration and user experience Expertise or interest in designing and deploying cloud-based infrastructure (Azure, AWS etc) Solid scripting capabilities using PowerShell, VB, or Bash Knowledge of cybersecurity best practices Experience implementing hardware integration projects Skills covering problem analysis and resolution in a secure environment Excellent More ❯

high-level programming language such as C#, Java, Go, Rust, or C++ A proven track record in designing and implementing secure distributed systems using modern cloud-native technologies, especially AWS and Kubernetes Deep understanding of security principles across application, network, and infrastructure security, including secure deployments, container hardening, least privilege, and secure defaults, to enforce rigorous controls Skilled in embedding More ❯

SQL, NoSQL or MQL. Experience with Infrastructure as Code tools like Terraform. Proficient in Git version control, including branching strategies and collaborative workflows. Familiarity with a rangeof technologies, including AWS services, Azure DevOps, MongoDB, UiPath, Databricks, and Power Platform, would be advantageous, though not mandatory. What You ll Get in Return A discretionary annual bonus so you can share in More ❯

enterprise environments. You know what it takes to design scalable, secure, and resilient systems - especially in ecommerce or logistics. You're comfortable working with modern cloud platforms (like Azure, AWS or GCP), containers, and infrastructure-as-code. You've got a strong grasp of architectural styles - from microservices to event-driven systems and cloud-native patterns. You're a natural More ❯

Node.js frontend web application development Sever-side rendering technologies e.g. Next.js Database technologies e.g. PostgreSQL Messaging technologies e.g. ActiveMQ or Kafka Continuous Integration and Continuous Deployment Cloud platforms, e.g. AWS, and Kubernetes platforms e.g. OpenShift Who you'll be working with Working in an agile product team typically aligned to a domain boundary. This role will require you to work More ❯

Machine Learning & NLP Expertise: Strong understanding of machine learning and natural language processing with relevant commercial experience in building and deploying NLP solutions. Cloud & Containerization Skills: Experience with the AWS cloud platform and containerization technologies (e.g., Docker, Kubernetes). Collaboration & Communication: Strong collaboration and communication skills to work effectively with cross-functional teams and articulate technical concepts to non-technical More ❯

mentoring and upskilling team members is critical for this role Expertise in data engineering - you love data modelling and data lifecycles! Advanced experience with cloud platforms, infrastructure as code (AWS, Terraform, Databricks) Proficiency in SQL and one or more of our core languages, Python 3/TypeScript; knowledge of core programming principles to adapt to other languages as needed. Leading More ❯