51 to 75 of 473 Amazon ECS Jobs in the UK excluding London

SecurityGroups, DX, VPN, TransitGateway, NetworkFirewall, NLB/ALB, and WAF. Logging and alerting components including CloudWatch LogStreams and Alarms, CloudTrail, S3, SNS and EventBridge. Compute and Storage including EC2, ECS, EKS, EBS, EFS, S3 and AWS Backup. Organisational and account-level platforms such as AWS Config, SecurityHub, ControlTower, SCPs, TrustedAdvisor, Inspector and Systems Manager. Serverless platforms such as Lambda More ❯

as AWS Cloud Practitioner are a plus. Bachelor's degree in Computer Science or relevant industry experience. Technologies and Tools: Databases: PostgreSQL, Oracle, MySQL AWS: RDS, Aurora, EC2, S3, ECS, KMS, VPC, Security Groups, Subnet Groups, Route 53, IAM, Lambda, Quicksight, Amazon Q, and more Infrastructure: GitLab CI/CD, Terraform, Docker Monitoring: Dynatrace, Amazon More ❯

using Python, Go, JavaScript, or similar languages Collaborate with software engineers, architects, and delivery teams to ensure smooth deployment and operations Contribute to container orchestration solutions using Kubernetes or ECS Lead technical discussions with stakeholders and provide expert input on cloud architecture decisions Identify and resolve infrastructure issues using a systematic debugging approach Maintain high standards of cloud security More ❯

industry and their IT systems Cloud implementation experience with AWS including: AWS Data Services: Glue ETL (or) EMR, S3, Glue Catalog, Athena, Lambda + Step Functions + Event Bridge, ECS Data De/Serialization: Parquet and JSON format AWS Data Security: Good Understanding of security concepts such as: IAM, Service roles, Encryption, KMS, Secrets Manager Demonstrated knowledge of software More ❯

tools like Terraform, Vagrant, and scripting (Shell, Python, PowerShell) Deploy and manage containerised services using Docker Drive best practices in DevOps, security, and agile delivery Tech Stack: AWS (EC2, ECS, RDS, S3, IAM, CloudWatch, VPC, etc.) Terraform, Vagrant for infrastructure provisioning Jenkins, Git, Jira, Confluence, ServiceNow Linux (Amazon Linux 2023), Docker Monitoring: Prometheus, Grafana This is an More ❯

Python skills and experience with AI/ML approaches and frameworks such as RAG, LangChain, TensorFlow, and PyTorch. Exposure to LLMs from model families such as Anthropic, Meta, Amazon, and OpenAI. Familiarity with tools and packages like Pandas, NumPy, scikit-learn, Plotly/Matplotlib, and Jupyter Notebooks. Knowledge of ML-adjacent technologies, including AWS SageMaker and Apache Airflow. … NoSQL databases, data modelling, and database querying. Experience with code repositories such as GitHub. Other Technologies You Might Encounter Our services are deployed to AWS, typically using Bedrock, Lambda, ECS and Kubernetes with CloudFormation and CDK for infrastructure configuration Our web products are developed using TypeScript, React, and Redux We have a shared component library implementing our design system … days ago Edinburgh, Scotland, United Kingdom 3 weeks ago Python and Kubernetes Software Engineer - Data, AI/ML & Analytics Edinburgh, Scotland, United Kingdom 3 months ago Applied Scientist, Amazon Ads - Creative X Edinburgh, Scotland, United Kingdom 3 days ago Edinburgh, Scotland, United Kingdom 3 hours ago Edinburgh, Scotland, United Kingdom 1 month ago Edinburgh, Scotland, United Kingdom More ❯

Python, Ruby, Rust Infrastructure as Code - Terraform, AWS CDK Source Code Management and CI/CD - GitLab, Snyk Observability - DataDog, Airbrake Containerized Workloads - Docker Cloud-native infrastructure in AWS - ECS, Lambda, Step Functions, SNS/SQS, Transit Gateway, Aurora, DynamoDB, CloudFront, S3, AppSync, API Gateway, and many more. Responsibilities: Work with other Site Reliability Engineers to build highly scalable More ❯

enjoys beingthe technical bridge between dev and ops. You’ll be part of the businesses new Platform Team focused on buildingsmarter infrastructure across AWS, improving deploymentpipelines, scaling containerised services (ECS), and supportingthe engineering team with fast and repeatable environments. This is not a traditional DevOps role – you’ll ship user-facingfeatures and shape system architecture. You’ll collaborateclosely with … practical infrastructure and devops experience – someone who wearsboth hats comfortably. Your Responsibilities: – Build and maintain fullstack features acrossAngular/Node.js with MongoDB – Lead the infrastructure evolution – improving AWSarchitecture (incl. ECS, EC2, S3, Lambda, CloudWatch) – Own and implement Infrastructure as Code (Terraformpreferred) – Improve and maintain CI/CD pipelines to optimisedeployment workflows – Develop backend services with observability, traceability,and scalability … on cloud-nativedevelopment principles – Take part in shared on-call rotations and incidentresponse improvements What We’re Looking For: – Solid experience across fullstack engineering – Demonstrated AWS infrastructure ownership (especially ECS, EC2, S3, Lambda) – Infrastructure-as-code (Terraform preferred) – Docker – CI/CD configuration management – Ability to build scalable backend services (Node.js) – Understand database and compute scalability within cloud environments More ❯

data, helping brands reduce returns and improve their bottom line. Our Current Stack: Data Warehouse and Tools: DBT, Snowflake, Airbyte Languages: Python, TypeScript, Node.js , React Cloud & Infra: AWS (S3, ECS), Docker Orchestration: AWS Lambda and Step Functions CI/CD: GitHub Actions Analytics Layer: GoodData What You’ll Work On: Data Pipelines: Design, build, and maintain robust ETL/… startup or fast-moving environment. Technical Stack : Languages/Tools: Python (REST API integrations), DBT, Airbyte, GitHub Actions Modern Data Warehousing: Snowflake, Redshift, Databricks, or BigQuery. Cloud & Infra: AWS (ECS, S3, Step Functions), Docker (Kubernetes or Fargate a bonus) Data Modelling : Strong grasp of transforming structured/unstructured data into usable models (facts, dimensions, metrics). You know when More ❯

Contribute to technical design discussions and promote engineering best practice Support and troubleshoot live services as part of a wider team Software Engineer Required Experience: Strong AWS experience (Lambda, ECS, API Gateway, CloudWatch, etc.) Proven expertise with Python for backend development or scripting Deep knowledge of Terraform for building and managing infrastructure Strong understanding of DevOps principles: CI/ More ❯

Collaborate closely with architects, product managers, and stakeholders to shape technical strategy Solve complex engineering challenges to enhance performance, resilience, and maintainability Technical Stack: Backend: .NET 8, AWS Lambda, ECS, EKS Databases: SQL/NoSQL (DynamoDB, Aurora, DocumentDB MongoDB experience a bonus) Event-Driven Systems: Kafka, AWS MSK, EventBridge, SNS/SQS DevOps & Infrastructure: Terraform, GitHub Actions, Docker Frontend More ❯

in cloud architecture and software engineering . You should have: ? Deep experience in .NET development (C#, ASP.NET, .NET Core). ? AWS cloud expertise hands-on with services like Lambda, ECS, API Gateway, RDS, DynamoDB, S3, IAM, and more. ? Strong SQL and NoSQL database experience. ? A background in event-driven architectures (Kafka, SNS, SQS). ? Hands-on experience with containerisation More ❯

Guide the team through complex technical challenges with creativity and grit Engage in Agile ceremonies, improve ways of working, and help steer the team’s direction Cloud & Services: AWS (ECS, EC2, Lambda, RDS, DynamoDB, Kinesis, Firehose, S3, SQS, SNS) What We’re Looking For: Solid commercial experience as a back-end developer Strong problem-solving skills and a critical More ❯

delivery timelines. Knowledge of network fundamentals and HTTP protocol. A proactive attitude and the ability to collaborate closely with a development team. Experience or exposure to tools such as ECS, RDS, Lambda, ElastiCache, Ansible, or monitoring solutions like Datadog or Prometheus. The benefits included with this opportunity £1,500 annual learning budget for professional development. 25 days of annual More ❯

in cloud architecture and software engineering . You should have: Deep experience in .NET development (C#, ASP.NET, .NET Core). AWS cloud expertise hands-on with services like Lambda, ECS, API Gateway, RDS, DynamoDB, S3, IAM, and more. Strong SQL and NoSQL database experience. A background in event-driven architectures (Kafka, SNS, SQS). Hands-on experience with containerisation More ❯

development experience An understanding and competence in: JavaScript/TypeScript (Node.js) REST APIs, Basic Linux commands, (use case: ssh onto a server to run code) MongoDB AWS (RDS, EC2, ECS, S3, Lambda, DNS, Basic Network routing on AWS) Basic Docker understanding VCS (Git) Automation & CI/CD pipelines ( Github workflows enough) Authentication protocol understanding eg: Oauth2 Developing, testing, and More ❯

an Agile environment True understanding of Site Reliability Engineering Ability to build and maintain a system and culture that supports and implements SLOs. Familiar with Docker & Kubernetes, specifically EKS & ECS Familiar with programming languages, such as Python or .NET C#. Additional Preferred Qualifications: Proven experience in monitoring, analyzing, and optimizing the performance of large-scale distributed systems in a More ❯

tools such as Grafana, Dynatrace, Prometheus, Datadog, Splunk, etc. Proficiency in continuous integration and continuous delivery tools (e.g., Jenkins, GitLab, Terraform, etc.) Experience with container and container orchestration (e.g., ECS, Kubernetes, Docker, etc.) Expertise in SRE principles, reliability, scalability and performance of application and infrastructure Expertise in programming with Python and Infrastructure as Code, tools such as Terraform Experience More ❯

or GCP, including networking, IAM, monitoring, and cost optimisation. Automate common cloud operations like backups and scaling. Implement Containerisation and Orchestration - Containerise applications with Docker and deploy using Kubernetes, ECS, or similar. Manage Helm charts or Customise templates and enforce container security standards. Drive Observability and Operational Readiness - Implement monitoring, logging, and alerting with tools like Prometheus, Grafana, ELK More ❯

Job Description Assume a critical role in defining the future of a globally recognized firm and have a direct and significant effect in a realm tailored for top achievers in site reliability. As an AI ML Lead Site Reliability Engineer More ❯

on experience working with AWS stack/services Hands-on experience with Java and Spring Working knowledge of AWS RDS/Aurora Database Working knowledge of AWS EKS/ECS/Lambda Knowledge of AWS SQS/SNS Knowledge of Terraform for AWS resource/service provisioning Experience building and debugging large-scale web services, and microservices based, Kubernetes More ❯

Relational Database development experience with Oracle, REST APIs Strong understanding CI and DevOps technologies (Hands-on experience on Git, Jenkins, and Ansible/Terraform preferred) Practical experience on AWS (ECS, EKS, API Gateway and Serverless technologies) Agile development – Scrum, Kanban, TDD, BDD Nice to have Skills: Good understanding of container technologies (Docker and Kubernetes) Experience of Single page application More ❯

Experience in building scalable and automated cloud platforms on AWS. Familiarity with infrastructure automation tools (CloudFormation, Terraform, Ansible). Knowledge of containerisation technologies and orchestration platforms (e.g., Docker, Kubernetes, ECS). Experience with Jenkins pipelines. Advocacy for best practices and familiarity with tools that support them. Strong communication skills and a collaborative spirit. Ability to work independently as a More ❯

Prior experience working in DevOps at a Senior level. Strong experience with Infrastructure as Code technologies (AWS/Azure). Strong experience with containerising applications and maintaining containerised infrastructure (ECS, Docker Swarm, Kubernetes etc). Familiarity with CI/CD systems like Jenkins, GitLabCI, CircleCI etc. Experienced with version control systems like Perforce and git. A knowledge of creating More ❯

use: Programming Languages - Python, Ruby, Rust Infrastructure as Code - Terraform, AWS CDK Source Code Management and CI/CD - GitLab, Snyk Observability - DataDog, Airbrake Cloud-native infrastructure in AWS - ECS, Lambda, Step Functions, SNS/SQS, Transit Gateway, Aurora, DynamoDB, CloudFront, S3, AppSync, API Gateway, and many more. Responsibilities: Work with other Site Reliability Engineers to build highly scalable More ❯