CI/CD: Familiarity with DevOps practices for data engineering, including infrastructure-as-code (e.g., Terraform, CloudFormation), CI/CD pipelines, and monitoring (e.g., CloudWatch, Datadog). Familiarity with big data technologies like Apache Spark, Hadoop, or similar. ETL/ELT tools and creating common data sets across on More ❯
leeds, west yorkshire, yorkshire and the humber, United Kingdom Hybrid / WFH Options
Fruition Group
product delivery. Lead deployment strategies and ensure smooth feature rollouts with minimal downtime. Define and manage monitoring, logging, and telemetry using tools like AWS Cloudwatch, Prometheus, and Datadog. Lead incident response and production troubleshooting with a proactive and preventative mindset. Drive automation initiatives with tools like GitlabCI, Terraform/ More ❯
City Of London, England, United Kingdom Hybrid / WFH Options
Fruition Group
product delivery. Lead deployment strategies and ensure smooth feature rollouts with minimal downtime. Define and manage monitoring, logging, and telemetry using tools like AWS Cloudwatch, Prometheus, and Datadog. Lead incident response and production troubleshooting with a proactive and preventative mindset. Drive automation initiatives with tools like GitlabCI, Terraform/ More ❯
london (city of london), south east england, United Kingdom Hybrid / WFH Options
Fruition Group
product delivery. Lead deployment strategies and ensure smooth feature rollouts with minimal downtime. Define and manage monitoring, logging, and telemetry using tools like AWS Cloudwatch, Prometheus, and Datadog. Lead incident response and production troubleshooting with a proactive and preventative mindset. Drive automation initiatives with tools like GitlabCI, Terraform/ More ❯
including ECS, Kinesis, DynamoDB, and Lambda Proficiency in CI/CD tools, particularly Jenkins and Spinnaker Familiarity with monitoring and observability tools such as CloudWatch and Datadog Strong understanding of security best practices in cloud environments Preferred Qualifications In addition to the required qualifications, the following skills and experiences More ❯
transformations Hands-on expertise with Kubernetes (EKS preferred) in production Strong experience with AWS core services (EC2, EKS, RDS, S3, ALB/NLB, IAM, CloudWatch, etc.) Proficiency in Infrastructure as Code using Terraform and knowledge of GitOps workflows Strong background in observability: metrics, visualization, logging, tracing Understanding of automation More ❯
and integrations across platforms such as ITSM, ITOM, PA, CSM, SPM, CSDM, CMDB, Employee Centre, Integration Hub, and observability tools (e.g., Datadog, Splunk, AWS CloudWatch, Prometheus, etc.). Ensure seamless interoperability between service operations tooling and cloud-native environments. Technical Leadership & Collaboration: Serve as a technical lead, providing guidance More ❯
and regulatory standards. Proficiency in AWS ETL technologies, including Glue, Data Sync, DMS, Step Functions, Redshift, DynamoDB, Athena, Lambda, RDS, EC2 and S3 Datalake, CloudWatch for building and optimizing ETL pipelines and data migration workflows. Working knowledge of Azure data engineering tools, including ADF (Azure Data Factory), Azure DB More ❯
and regulatory standards. Proficiency in AWS ETL technologies, including Glue, Data Sync, DMS, Step Functions, Redshift, DynamoDB, Athena, Lambda, RDS, EC2 and S3 Datalake, CloudWatch for building and optimizing ETL pipelines and data migration workflows. Working knowledge of Azure data engineering tools, including ADF (Azure Data Factory), Azure DB More ❯
Computing and databases Understanding of web services, networking, virtualization, and protocols Knowledge of Kubernetes Experience with AWS services such as Route 53, EC2, S3, CloudWatch, DynamoDB, RDS, IAM, ACM, KMS, VPC Ability to handle multiple projects and priorities Excellent communication and prioritization skills Knowledge of security fundamentals for SaaS More ❯
incident resolution and engage with various teams (including 3rd parties) for support escalation. You are a good fit if: You have previously worked with Amazon AWS cloud administration, including services such as: EC2, S3, ELB, RDS, IAM, Route 53, Auto Scaling Groups, Lambda, Cloud Watch, Cloud Formation and Security … clustering. You are comfortable with various logging, monitoring and alerting platforms and have expertise in the usage (and, desirably, the deployment) of e.g. ELK, CloudWatch, Fluentd, to enable forensic log analysis and system tuning as well as data-driven performance analysis (i.e. SLI/SLO) and capacity planning. You More ❯
delivery of solutions. Expert knowledge of SRE fundamentals and a commitment to best practice Fluency with common observability tooling like Prometheus, Grafana, OTEL and Cloudwatch Experience analysing and building data telemetry, querying (PromQL), modelling, pipelines and dashboards to provide concise, focused insights and alerts for distributed systems Strong experience … with Python and/or GoLang Java (SpringBoot and Micrometer) useful Demonstrable experience working with AWS services like SQS, EKS, RDS, VPC, EC2, Cloudwatch (X-Ray, Metrics and Logs), Lambda Solid knowledge of Linux systems and bash scripting Strong knowledge of networking and common protocols (TCP, DNS, TLS, HTTP More ❯
and architecture and best practices Core AWS service experience required: EC2, S3, RDS, Route53, VPC's, Transit gateways Additional AWS service experience: Lamba, EKS, CloudWatch Experience of CI/CD approaches with Python scripting, Terraform, Git/Gitlab, Windows & Linux administration Nice to have: Experience of SQL scripting Experience More ❯
event-driven architectures. Ability to design and implement highly available, fault-tolerant systems using AWS services. Expertise in monitoring and troubleshooting AWS environments using CloudWatch, X-Ray, and other AWS tools. More ❯
CI/CD Pipelines (Drone/GitLab) Excellent understanding of Kafka internals, stream processing, and secure Kafka deployments Strong experience across monitoring (Prometheus, Grafana, CloudWatch) Knowledge of security hardening, IAM, WAF, Shield, Vault Working knowledge of Agile, Infrastructure-as-Code, and DevSecOps practices UK*C or Enhanced DV (eDV More ❯
CI/CD Pipelines (Drone/GitLab) Excellent understanding of Kafka internals, stream processing, and secure Kafka deployments Strong experience across monitoring (Prometheus, Grafana, CloudWatch) Knowledge of security hardening, IAM, WAF, Shield, Vault Working knowledge of Agile, Infrastructure-as-Code, and DevSecOps practices UK*C or Enhanced DV (eDV More ❯
london, south east england, United Kingdom Hybrid / WFH Options
Searchability NS&D
CI/CD Pipelines (Drone/GitLab) Excellent understanding of Kafka internals, stream processing, and secure Kafka deployments Strong experience across monitoring (Prometheus, Grafana, CloudWatch) Knowledge of security hardening, IAM, WAF, Shield, Vault Working knowledge of Agile, Infrastructure-as-Code, and DevSecOps practices UK*C or Enhanced DV (eDV More ❯
london, south east england, United Kingdom Hybrid / WFH Options
Searchability NS&D
CI/CD Pipelines (Drone/GitLab) Excellent understanding of Kafka internals, stream processing, and secure Kafka deployments Strong experience across monitoring (Prometheus, Grafana, CloudWatch) Knowledge of security hardening, IAM, WAF, Shield, Vault Working knowledge of Agile, Infrastructure-as-Code, and DevSecOps practices UK*C or Enhanced DV (eDV More ❯
transformations. Hands-on expertise with Kubernetes (EKS preferred) in production. Strong experience with AWS core services (EC2, EKS, RDS, S3, ALB/NLB, IAM, CloudWatch, etc.). Expertise in Infrastructure as Code using Terraform and knowledge of GitOps workflows. Background in observability: metrics, visualization, logging, and tracing. Understanding automation More ❯
Containers Orchestration Platforms - AWS EKS. Skilled working with Infrastructure as Code, Terraform required. Proficiency in setting up or integration with Observability tools e.g., Datadog, CloudWatch, X-Ray. Previous experience with troubleshooting and debugging on public cloud infrastructure (AWS). Working Proficiency of RDS Databases and Cache Engines. Experience with More ❯
Containers Orchestration Platforms - AWS EKS. Skilled working with Infrastructure as Code, Terraform required. Proficiency in setting up or integration with Observability tools e.g., Datadog, CloudWatch, X-Ray. Previous experience with troubleshooting and debugging on public cloud infrastructure (AWS). Working Proficiency of RDS Databases and Cache Engines. Experience with More ❯
Python, PHP), version control (Git), and database tools (MySQL/MariaDB). Experience with AWS Cloud technologies, including EC2, S3, Lambda, and monitoring tools (CloudWatch, New Relic, Zabbix), as well as infrastructure provisioning (Terraform, CloudFormation) and containerisation. Knowledge of authentication, security, networking concepts, and scaling applications within AWS is More ❯
with API integrations, Infrastructure as Code, and Integration Platform as Code Tech Stack: AWS Framework Principles, Terraform, EC2, S3, VPC, Lambda, IAM, Route 53, CloudWatch, CloudTrail Knowledge of integration tools is advantageous; Pharma/Research background is beneficial Experience with CI/CD pipelines and DevOps practices If this More ❯
