226 to 250 of 430 Amazon EC2 Jobs in the UK

in building and maintaining robust applications Previous experience in coaching, mentoring, or leading small development teams is highly preferred Exposure to technologies such AWS EC2, Lambda, DynamoDB, or SQL is highly desirable Familiarity with NodeJS, TypeScript, MySQL, and Linux would be desirable Experience working in a fast-paced, smaller More ❯

solutions, as well as proficiency in Linux environments, Python scripting, and Robot Framework. Familiarity with containerisation technologies, Spring framework, and AWS services such as EC2, Serverless, DynamoDB, and Aurora would be a significant advantage. Key skills and experience: Recent Java or Python development experience. SatComs experience. Strong mathematical or More ❯

solutions, as well as proficiency in Linux environments, Python scripting, and Robot Framework. Familiarity with containerisation technologies, Spring framework, and AWS services such as EC2, Serverless, DynamoDB, and Aurora would be a significant advantage. Key skills and experience: • Recent Java or Python development experience. • SatComs experience. • Strong mathematical or More ❯

cloud architectures that align with business goals and support future growth. Key Responsibilities: Architect scalable, reliable, and secure cloud solutions using AWS services like EC2, S3, VPC, RDS, Lambda, CloudFormation, and API Gateway, ensuring alignment with business objectives. Define cloud adoption strategies, roadmaps, and migration plans to transition legacy … drive continuous improvement and innovation in cloud solutions. Required Skills & Experience: Extensive experience designing, implementing, and managing cloud solutions with AWS services such as EC2, S3, VPC, Lambda, RDS, CloudFormation, and IAM. Proven expertise in building highly available, fault-tolerant, and scalable architectures, and migrating complex applications to AWS More ❯

with tools like Prometheus , Grafana , and Datadog Collaborate closely with developers, testers, and platform teams 🧰 Tech Stack You'll Use: Cloud: AWS (core services: EC2, S3, Lambda, EKS) IaC: Terraform CI/CD: GitHub Actions, GitLab CI, Jenkins Containers: Docker, Kubernetes, Helm Monitoring: Datadog, Grafana, Prometheus Scripting: Python, Bash … Version Control: Git OS: Linux (Ubuntu/Amazon Linux) ✅ You’ll Need: Strong hands-on DevOps experience in a commercial contract role Proven AWS knowledge (certifications a plus) Experience with Kubernetes in production Infrastructure-as-Code expertise (Terraform preferred) Confident building and managing CI/CD pipelines Good More ❯

with tools like Prometheus , Grafana , and Datadog Collaborate closely with developers, testers, and platform teams 🧰 Tech Stack You'll Use: Cloud: AWS (core services: EC2, S3, Lambda, EKS) IaC: Terraform CI/CD: GitHub Actions, GitLab CI, Jenkins Containers: Docker, Kubernetes, Helm Monitoring: Datadog, Grafana, Prometheus Scripting: Python, Bash … Version Control: Git OS: Linux (Ubuntu/Amazon Linux) ✅ You’ll Need: Strong hands-on DevOps experience in a commercial contract role Proven AWS knowledge (certifications a plus) Experience with Kubernetes in production Infrastructure-as-Code expertise (Terraform preferred) Confident building and managing CI/CD pipelines Good More ❯

maintain a DevSecOps culture, empowering development while promoting security and reliability. You'll work directly with, but not limited to, the following technologies: AWS (EC2, RDS, VPC networking, S3, Network Firewall, EKS etc.), Docker, Kubernetes, Terraform, Jenkins, Ansible, GitHub, Slack, Python About the Role You aren't just good … Rapid7 products and automated tooling. The skills you'll bring include: Proven experience working with SaaS services and infrastructure. Proficient in AWS services, including EC2, EKS or ECS, IAM, VPC networking, S3. Networking and Linux system administration skills. Comfortable with one or more of the following languages: Python, Ruby More ❯

degree in Computer Science, Computer Engineering or a related field. Minimum of 5 years of experience using Amazon Web Services technologies including EC2, RDS, Route53, S3, Lambda, FSx, IAM, EKS, ECR, CloudWatch, CloudFormation, and VPC. Experience running medium to large scale multi-tier distributed systems with the More ❯

managed Kubernetes and scale on-demand to satisfy burstable workloads. Other managed services we use in AWS include EMR, RDS, OpenSearch, MSK and bespoke EC2 solutions. All infrastructure is managed through Terraform, our source code is in GitHub and automation through GH actions. Responsibilities Design, implement, and manage scalable More ❯

and NoSQL databases, including Postgres and Cassandra. Experience with data pipeline and workflow management tools: Azkaban, Luigi, Airflow, etc. Experience with AWS cloud services: EC2, EMR, RDS, Redshift. Experience with stream-processing systems: Storm, Spark-Streaming, etc. Experience with object-oriented/object function scripting languages: Python, Java, C++ More ❯

Darktrace Firewall, Cisco Meraki Firewall, and Zscaler VPN (Required) 2+ years' experience administering and securing an AWS environment including, but not limited to, IAM, EC2, Amazon Workspaces, S3, VPC, ELB, EFS, Control Tower, CloudWatch, and CloudFormation (Preferred) 2+ years' experience in modern desktop management leveraging Microsoft Autopilot More ❯

to handle server-side logic and integrate with databases and external services. Design, implement, and deploy cloud-based applications on AWS, including services like EC2, Lambda, and S3. Collaborate with design and product teams to translate user needs into functional, high-performance features. Please get in touch to know More ❯

to handle server-side logic and integrate with databases and external services. Design, implement, and deploy cloud-based applications on AWS, including services like EC2, Lambda, and S3. Collaborate with design and product teams to translate user needs into functional, high-performance features. Please get in touch to know More ❯

and implement best practices for data engineering, including coding standards, documentation, version control. Technical Skills Required: Proven Engineering Experience using the AWS Services (S3, EC2, Lambda, Glue) Proven Data warehousing Experience in Snowflake Expert in SQL and database concepts including performance tuning and optimisation Solid understanding of data warehousing More ❯

and implement best practices for data engineering, including coding standards, documentation, version control. Technical Skills Required: Proven Engineering Experience using the AWS Services (S3, EC2, Lambda, Glue) Proven Data warehousing Experience in Snowflake Expert in SQL and database concepts including performance tuning and optimisation Solid understanding of data warehousing More ❯

and implement best practices for data engineering, including coding standards, documentation, version control. Technical Skills Required: Proven Engineering Experience using the AWS Services (S3, EC2, Lambda, Glue) Proven Data warehousing Experience in Snowflake Expert in SQL and database concepts including performance tuning and optimisation Solid understanding of data warehousing More ❯

and implement best practices for data engineering, including coding standards, documentation, version control. Technical Skills Required: ·Proven Engineering Experience using the AWS Services (S3, EC2, Lambda, Glue) ·Proven Data warehousing Experience in Snowflake ·Expert in SQL and database concepts including performance tuning and optimisation ·Solid understanding of data warehousing More ❯

and implement best practices for data engineering, including coding standards, documentation, version control. Technical Skills Required: Proven Engineering Experience using the AWS Services (S3, EC2, Lambda, Glue) Proven Data warehousing Experience in Snowflake Expert in SQL and database concepts including performance tuning and optimisation Solid understanding of data warehousing More ❯

professional expertise RedHat Linux 6 or 7 ( being certified is not essential). Shell scripting experience in Linux/UNIX environment. Knowledge of AWS (EC2, S3, CloudWatch etc) Knowledge of Kubernetes and Terraform Storage experience i.e working with server disks file systems and volume management software (like LVM) and More ❯

years data engineering experience Proficient using both SQL & Python Commercial experience using AWS Further knowledge of AWS skills including some of the following S3, EC2, RDS, Cognito, Cloudwatch, EFS, Aurora, Athena, RedShift What's in it for you: 📍Location: Somerset (2/3 days a week onsite) ⭐Annual discretionary More ❯

years data engineering experience Proficient using both SQL & Python Commercial experience using AWS Further knowledge of AWS skills including some of the following S3, EC2, RDS, Cognito, Cloudwatch, EFS, Aurora, Athena, RedShift What's in it for you: 📍Location: Somerset (2/3 days a week onsite) ⭐Annual discretionary More ❯

discipline. 2+ years of relevant experience in data engineering. Experience in data modelling and end-to-end data pipelines. Knowledge of AWS core services (EC2, ECS, RDS, S3). Strong communication skills and ability to work in a collaborative environment. Please note that you will be required to work More ❯

this role is to support and enhance the pre-production and production web infrastructure. It would be great if you had experience in; AWS (EC2 and RDS) Linux (Ubuntu and Debian are preferred) Docker Kubernetes Experience with monitoring tools Terraform Experience with the following would be a bonus; VMware More ❯

or C# with Spring Boot or .NET Core. Integrations: Market data feeds (e.g., Refinitiv, Bloomberg). Data Platforms: Warehouses: Snowflake, Google BigQuery, or Amazon Redshift. Analytics: Tableau, Power BI, or Looker for client reporting. Big Data: Apache Spark or Hadoop for large-scale processing. AI/ML: TensorFlow … analytics. Integration Technologies: API Management: Apigee, AWS API Gateway, or MuleSoft. Middleware: Red Hat Fuse or Kafka for asynchronous communication. Cloud Technologies: Providers: AWS (EC2, Lambda), Azure (AKS), or Google Cloud (BigQuery). Containers: Docker, Kubernetes for scalable deployments. Serverless: AWS Lambda or Azure Functions. DevOps and Automation: CI More ❯

or C# with Spring Boot or .NET Core. Integrations: Market data feeds (e.g., Refinitiv, Bloomberg). Data Platforms: Warehouses: Snowflake, Google BigQuery, or Amazon Redshift. Analytics: Tableau, Power BI, or Looker for client reporting. Big Data: Apache Spark or Hadoop for large-scale processing. AI/ML: TensorFlow … analytics. Integration Technologies: API Management: Apigee, AWS API Gateway, or MuleSoft. Middleware: Red Hat Fuse or Kafka for asynchronous communication. Cloud Technologies: Providers: AWS (EC2, Lambda), Azure (AKS), or Google Cloud (BigQuery). Containers: Docker, Kubernetes for scalable deployments. Serverless: AWS Lambda or Azure Functions. DevOps and Automation: CI More ❯