years' experience with Microsoft Azure services including PaaS (Azure App Services) and Azure DevOps 1-2 years' experience with AWS services such as EC2, S3, Lambda, RDS, IAM, and CloudWatch Experience with monitoring tools such as CloudWatch, App Insights, Grafana, and Kibana Experience with ITSM/customer ticketing systems More ❯
systems — understanding of data pipelines, warehousing, or BI tools is a plus. Hands-on experience with cloud-native architectures, preferably AWS (EC2, RDS, Lambda, S3, etc.). Comfortable leading architectural reviews, producing technical documentation, and mentoring dev teams on best practices. If you’re passionate about backend architecture, data More ❯
applications. Design and optimize data pipelines and ELT processes to move data into centralized warehouses (e.g., Redshift, Snowflake). Utilize AWS services (Lambda, Glue, S3, RDS, etc.) to support cloud-native data integration and reporting infrastructure. Implement monitoring, logging, and exception handling for critical pipelines and APIs. Operations and More ❯
datasets and a solid understanding of data lake architecture and data warehousing Preferred qualifications, capabilities, and skills Experience with AWS cloud services (e.g. EC2, S3, IAM, Cloudwatch) Experience with Infrastructure as code (e.g. Terraform) Experience working in Agile/Scrum teams More ❯
designing and maintaining MongoDB databases. Experience with Docker for containerization and deployment of microservices. Knowledge and experience with the core AWS services (ECS, EC2, S3, SQS). Proficient in using Git for version control. Detail-oriented with strong analytical thinking and problem-solving abilities, with the capability to work More ❯
across primary, secondary, and tertiary sources. Cloud, Infrastructure, and Platform Engineering: Develop and deploy data workflows on AWS or GCP , using services such as S3, Redshift, Pub/Sub, or BigQuery. Containerize data processing tasks using Docker , orchestrate with Kubernetes , and ensure production-grade deployment. Collaborate with platform teams More ❯
designing and maintaining MongoDB databases. Experience with Docker for containerization and deployment of microservices. Knowledge and experience with the core AWS services (ECS, EC2, S3, SQS). Proficient in using Git for version control. Detail-oriented with strong analytical thinking and problem-solving abilities, with the capability to work More ❯
across primary, secondary, and tertiary sources. Cloud, Infrastructure, and Platform Engineering: Develop and deploy data workflows on AWS or GCP , using services such as S3, Redshift, Pub/Sub, or BigQuery. Containerize data processing tasks using Docker , orchestrate with Kubernetes , and ensure production-grade deployment. Collaborate with platform teams More ❯
across primary, secondary, and tertiary sources. Cloud, Infrastructure, and Platform Engineering: Develop and deploy data workflows on AWS or GCP , using services such as S3, Redshift, Pub/Sub, or BigQuery. Containerize data processing tasks using Docker , orchestrate with Kubernetes , and ensure production-grade deployment. Collaborate with platform teams More ❯
across primary, secondary, and tertiary sources. Cloud, Infrastructure, and Platform Engineering: Develop and deploy data workflows on AWS or GCP , using services such as S3, Redshift, Pub/Sub, or BigQuery. Containerize data processing tasks using Docker , orchestrate with Kubernetes , and ensure production-grade deployment. Collaborate with platform teams More ❯
across primary, secondary, and tertiary sources. Cloud, Infrastructure, and Platform Engineering: Develop and deploy data workflows on AWS or GCP , using services such as S3, Redshift, Pub/Sub, or BigQuery. Containerize data processing tasks using Docker , orchestrate with Kubernetes , and ensure production-grade deployment. Collaborate with platform teams More ❯
end automation of a CI/CD pipeline from build through deploy. Demonstrated experience completing the ICD503 process. Demonstrated experience using AWS to include S3, EBS, and EC2. Demonstrated experience with containerization technologies such as Kubernetes, Rancher (RKE2). Demonstrated experience using requirements tracking programs such as JIRA or More ❯
Alexandria, Virginia, United States Hybrid / WFH Options
Metronome LLC
Strong knowledge of Linux, including system administration and troubleshooting Proficient in configuration management tools such as Ansible or Puppet Knowledge of AWS services (EC2, S3, Lambda) and their application to deployment and management of infrastructure Experience with application and OS deployment, scaling, and management Ability to develop in multiple More ❯
and OAS. Understanding of data replication tools such as Oracle GoldenGate and AWS DMS. Knowledge of AWS Services such as SageMaker, Lambda, Step Functions, S3 etc would be an advantage. Hands on and technical understanding of complex Data Warehousing terminology. Python scripting knowledge would be desirable. Experience of implementing More ❯
GitHub, GitHub Actions, Workflow, CodeQL, Jenkins, Nexus, CloudFormation, Terraform, etc. Strong experience with monitoring tools (e.g., Datadog) Expertise with AWS services: EC2, ELB, ECS, S3, Config, CloudTrail, EFS, Lambda, VPC Commercial experience with Python and Shell scripting Nice to have: Experience with Docker or container-based systems Familiarity with More ❯
and maintaining CI/CD pipelines Enhancing automation Implementing monitoring and alerts Required skills: STEM degree from top university Understanding of AWS infrastructure - IAM, S3, ECS, EC2, Lambda IaC with Terraform Python programming Implementing strong devops engineering culture Experience working within large enterprise and financial services space. London - Onsite More ❯
and maintaining CI/CD pipelines Enhancing automation Implementing monitoring and alerts Required skills: STEM degree from top university Understanding of AWS infrastructure - IAM, S3, ECS, EC2, Lambda IaC with Terraform Python programming Implementing strong devops engineering culture Experience working within large enterprise and financial services space. London - Onsite More ❯
and maintaining CI/CD pipelines Enhancing automation Implementing monitoring and alerts Required skills: STEM degree from top university Understanding of AWS infrastructure - IAM, S3, ECS, EC2, Lambda IaC with Terraform Python programming Implementing strong devops engineering culture Experience working within large enterprise and financial services space. London - Onsite More ❯
development experience in Node.js ,and Python or Java Proven Cloud Engineering expertise, ideally within AWS Hands-on experience with AWS services, particularly Lambda and S3 Familiarity with containerisation and infrastructure tools such as Docker, Kubernetes, Ansible, or Terraform Prior experience working with or delivering projects for in the defence More ❯
development experience in Node.js ,and Python or Java Proven Cloud Engineering expertise, ideally within AWS Hands-on experience with AWS services, particularly Lambda and S3 Familiarity with containerisation and infrastructure tools such as Docker, Kubernetes, Ansible, or Terraform Prior experience working with or delivering projects for in the defence More ❯
applications by creating automated deployments of AWS EC2 instances using Docker, Kubernetes, Ansible, and Terraform technologies. Created and maintained data objects using the AWS S3 Bucket services. Integrated authentication & authorization services using Keycloak services. Created Python and Jupyter Notebook modules and components to support machine learning and data science More ❯
familiarity with Python • Experience in Linux, Git, CI/CD, Apache NiFi • Knowledge of Oracle, MongoDB, React, Elasticsearch • Familiarity with AWS (EC2, EKS, Fargate, S3, Lambda) If you do not meet all requirements still feel free to apply Benefits: • Salary: £45,000 - £80,000 • Bonus: up to 10% • Pension More ❯
familiarity with Python • Experience in Linux, Git, CI/CD, Apache NiFi • Knowledge of Oracle, MongoDB, React, Elasticsearch • Familiarity with AWS (EC2, EKS, Fargate, S3, Lambda) If you do not meet all requirements still feel free to apply Benefits: • Salary: £45,000 - £80,000 • Bonus: up to 10% • Pension More ❯
