looking for: Plenty of experience in AWS and experience in solving complex business issues; Regarded as an AWS subject matter expert Demonstrable expertise with AWS services such as EC2, ECS, EKS, S3, Lambda, RDS, KMS, ELB, SNS, SQS, IAM Scripting abilities with languages such as Shell, Bash, or Python Good coding experience of at least 1 Lambda compatible language … you with them AWS Certification at Associate level eg Solution Architect, Developer or DevOps Expertise in microservices and API design Docker, and container runtime platforms such as Kubernetes, EKS, ECS etc Strong understand of operational concepts on AWS, particularly monitoring and observability, FinOps Utilising CI/CD tools, such as Bamboo, Jenkins, TeamCity, Bitbucket, in order to streamline delivery More ❯
looking for: Plenty of experience in AWS and experience in solving complex business issues; Regarded as an AWS subject matter expert Demonstrable expertise with AWS services such as EC2, ECS, EKS, S3, Lambda, RDS, KMS, ELB, SNS, SQS, IAM Scripting abilities with languages such as Shell, Bash, or Python Good coding experience of at least 1 Lambda compatible language … you with them AWS Certification at Associate level eg Solution Architect, Developer or DevOps Expertise in microservices and API design Docker, and container runtime platforms such as Kubernetes, EKS, ECS etc Strong understand of operational concepts on AWS, particularly monitoring and observability, FinOps Utilising CI/CD tools, such as Bamboo, Jenkins, TeamCity, Bitbucket, in order to streamline delivery More ❯
London, England, United Kingdom Hybrid / WFH Options
BBC
maintaining tools that support data science and MLOps/LLMOps workflows. Collaborate with Data Scientists to deploy, serve, and monitor LLMs in real-time and batch environments using Amazon SageMaker, Bedrock Implement Infrastructure-as-Code with AWS CDK, CloudFormation to provision and manage cloud environments. Build and maintain CI/CD pipelines using GitHub Actions, AWS CodePipeline, CodeBuild … for ML and AI applications using Python and cloud native technologies Experience with cloud services, especially Amazon Web Services (AWS) - SageMaker, Bedrock, S3, EC2, Lambda, IAM, VPC, ECS/EKS. Proficiency in Infrastructure-as-Code using AWS CDK or CloudFormation. Experience implementing and scaling MLOps workflows with tools such as MLflow, SageMaker Pipelines. Proven experience building, containerising More ❯
Central London, London, United Kingdom Hybrid / WFH Options
Staffworx Limited
that integrate with enterprise systems and cloud platforms. Develop and optimize RESTful and GraphQL APIs to facilitate AI-driven interactions. Utilize AWS services (Lambda, S3, API Gateway, SageMaker, DynamoDB, ECS, etc.) to deploy scalable AI solutions. Implement Full Stack JavaScript (Node.js, React.js, Express, TypeScript, Next.js, etc.) applications to support AI-driven interfaces. Work closely with data scientists and ML More ❯
experience in designing, developing, and optimizing backend systems for data processing at scale within AWS. In-depth knowledge and hands-on experience with foundational AWS services, such as ALB, ECS, S3, ElastiCache, DynamoDB, IAM, CloudWatch. Proficiency in both relational and NoSQL databases, with an understanding of database design, optimization, and management. Strong skills in Infrastructure as Code (IaC) tools More ❯
Linux administration, scripting, and troubleshooting Demonstrable knowledge of Observability tools (New Relic, Splunk, DataDog) Comprehensive experience with AWS (Amazon Web Services) and its core capabilities (VPC, EC2, ECS, Route53, Fargate, ALB/NLB distributions, etc) Extensive experience with cloud automation and infrastructure-as-code (IaC) toolsets, primarily CloudFormation but also including Terraform, Helm and Ansible. CDK a More ❯
and troubleshooting Demonstrable knowledge of Observability tools (Prometheus/Grafana, New Relic, Splunk, DataDog) Comprehensive experience with AWS (Amazon Web Services) and its core capabilities (VPC, EC2, ECS, Route53, Fargate, ALB/NLB distributions, etc) Extensive experience with cloud automation and infrastructure-as-code (IaC) toolsets, primarily CloudFormation but also including Terraform, Helm and Ansible. CDK a More ❯
and troubleshooting Demonstrable knowledge of Observability tools (Prometheus/Grafana, New Relic, Splunk, DataDog) Comprehensive experience with AWS (Amazon Web Services) and its core capabilities (VPC, EC2, ECS, Route53, Fargate, ALB/NLB distributions, etc) Extensive experience with cloud automation and infrastructure-as-code (IaC) toolsets, primarily CloudFormation but also including Terraform, Helm and Ansible. CDK a More ❯
strategy, infrastructure optimisation, and seamless product architecture improvements. As part of this agile and forward-thinking team, you'll have the chance to potentially introduce Kubernetes into their serverless ECS environment. The company values innovation and is always looking to enhance its platform. While the lead engineer focuses on AI development, you'll take charge of security and DevOps. More ❯
chance to learn how our product integrates and interacts with external systems, partners, and platforms. Our Tech Stack: Apache Airflow Python Django AWS (S3, RDS withPostgresql, ElastiCache, MSK, EC2, ECS, Fargate, Lamda etc.) Snowflake Terraform CircleCI Your mission Support the design and development of data pipelines, learning to orchestrate key activities such as data ingestion, extraction and transformation, task More ❯
chance to learn how our product integrates and interacts with external systems, partners, and platforms. Our Tech Stack: Apache Airflow Python Django AWS (S3, RDS withPostgresql, ElastiCache, MSK, EC2, ECS, Fargate, Lamda etc.) Snowflake Terraform CircleCI Your mission Support the design and development of data pipelines, learning to orchestrate key activities such as data ingestion, extraction and transformation, task More ❯
Hub, GuardDuty, and Inspector. Design CI/CD pipelines to enable seamless deployments and self-service models for customers. Innovate with AWS Networking, KMS, IAM, and container orchestration (Kubernetes, ECS). Mentor and collaborate with a team of talented engineers, fostering a culture of technical excellence. Skills, Knowledge and Expertise Deep expertise in multi-tenanted platform architectures and multi More ❯
London, Leeds, West Yorkshire, United Kingdom Hybrid / WFH Options
Handshaik
What You’ll Work On Cloud Engineering Build and maintain cloud infrastructure using AWS services and best practices Manage DevOps workflows and automation Set up and manage container orchestration (ECS) Create and maintain CI/CD pipelines using GitHub Actions Define infrastructure as code, ideally using Terraform Software Development Write clean, maintainable, and well-documented code (Python preferred) Contribute … in a lean, agile development cycle About you Strong backend development skills (preferably in Python) Experience working with cloud-native architectures on AWS Familiar with containerisation and orchestration (e.g. ECS, Docker) Skilled in setting up CI/CD workflows, ideally with GitHub Actions Practical experience with infrastructure as code (Terraform preferred) Comfortable working in fast-paced, startup environments Proactive More ❯
with high availability and high security requirements Experience with Node and React in production systems Our tech stack: Rails/Node/React/MySQL (MariaDB)/Linux AWS ECS, Fargate, Lambda, Ansible, Terraform AppSignal, Papertrail What we offer 25 days annual leave Annual wellness day off Access to one-to-one confidential counselling sessions through our Employee Assistance More ❯
Strategies for Cloud IT Security Must Have - Good Competence Level: Code Repository Management: Proficient in version control and code management practices AWS Services: core AWS services and architecture, ECR, ECS, AWS networking, AWS Secrets Manager, AWS CDK, and K8s CI/CD Pipelines: Hands-on experience integrating security into deployment pipelines Python Programming: Proficient in Python for automation and More ❯
London, West End, United Kingdom Hybrid / WFH Options
Computappoint
Strategies for Cloud IT Security Must Have - Good Competence Level: Code Repository Management: Proficient in version control and code management practices AWS Services: core AWS services and architecture, ECR, ECS, AWS networking, AWS Secrets Manager, AWS CDK, and K8s CI/CD Pipelines: Hands-on experience integrating security into deployment pipelines Python Programming: Proficient in Python for automation and More ❯
London, South East, England, United Kingdom Hybrid / WFH Options
Computappoint
Strategies for Cloud IT Security Must Have - Good Competence Level: Code Repository Management: Proficient in version control and code management practices AWS Services: core AWS services and architecture, ECR, ECS, AWS networking, AWS Secrets Manager, AWS CDK, and K8s CI/CD Pipelines: Hands-on experience integrating security into deployment pipelines Python Programming: Proficient in Python for automation and More ❯
the ability to translate technical findings into business insights Nice-to-Have Qualifications: Experience with streaming technologies such as Kafka or similar. Familiarity with containerization and orchestration (Docker and ECS) for data workflows. Exposure to BI tools such as Tableau or Power BI for data visualization. Understanding of machine learning pipelines and how they integrate with data engineering processes. More ❯
/processes, managing work with other EMs and Product 20% Hands-on ie System design/writing code ️ Our Tech Stack Services are written in Go, deployed in AWS ECS and communicate with our app with gRPC Our app is written in Dart with Flutter and available on both Android and iOS Our back-office/and Rafiki's More ❯
to drive product and engineering decisions Mentor engineers, drive technical excellence, and contribute to a strong engineering culture ️ Our Tech Stack Services are written in Go, deployed in AWS ECS and communicate with our app with gRPC Our app is written in Dart with Flutter and is available on both Android and iOS Our NALA for Business product is More ❯
building and maintaining the solutions that power e-commerce, production, and fulfillment. Our platform uses technologies including Ruby and Rails and Python/React, backed by PostgreSQL, Fargate/ECS on AWS, and Cloud Run on GCP. It exposes APIs that are used by our multi-brand Angular webapp and our native iOS and Android mobile apps. We're More ❯