You'll Bring: Active DV or eDV clearance is essential due to the nature of the work. Strong expertise in AWS services, including EC2, S3, RDS, and Lambda. Hands-on experience with Kubernetes and containerisation tools like Docker. Proficiency in IaC tools such as Terraform or CloudFormation. Experience in More ❯
systems and design efficient solutions. Technical Skills AWS Certification (e.g., AWS Certified Solutions Architect - Associate/Professional) is a plus. AWS Cloud Services: EC2, S3, Lambda, RDS, CloudWatch, CloudTrail, etc. Networking Tools: AWS Direct Connect, Transit Gateway, Route 53, and other relevant tools. Security Best Practices: IAM, MFA, data More ❯
seamless execution across the development lifecycle. Responsibilities: Guide development teams with hands-on expertise in AWS serverless architectures (Lambda, API Gateway, DynamoDB, Step Functions, S3, SNS/SQS, Cognito, etc.). Actively contribute to back-end development using Python, ensuring best practices in clean code and performance optimization. Support More ❯
seamless execution across the development lifecycle. Responsibilities: Guide development teams with hands-on expertise in AWS serverless architectures (Lambda, API Gateway, DynamoDB, Step Functions, S3, SNS/SQS, Cognito, etc.). Actively contribute to back-end development using Python, ensuring best practices in clean code and performance optimization. Support More ❯
City of London, London, Finsbury Square, United Kingdom
The Portfolio Group
frameworks such as LangChain, CrewAI, AutoGen, and DSPy. AWS Cloud & MLOps: Deploy scalable machine learning workloads on AWS using services like SageMaker, Bedrock, Lambda, S3, DynamoDB, ECS, and EKS. End-to-End AI Product Development : Work across the full ML lifecycle, from data collection and preprocessing to model evaluation More ❯
with CSOC standards and also configuration of Splunk as part of onboarding CNI and all other systems. Configuration of all infrastructure including AWS - EC2, S3 buckets, SQS queues is also required. You must have SIEM Engineering and Architecture skills, specifically in Splunk SaaS. Full end to end experience of More ❯
the Data Engineering function. From a hands-on perspective, you’ll be designing and maintaining robust ETL pipelines, working with tools like AWS Redshift, S3, and Kafka, and collaborating with internal stakeholders to deliver insights into player behaviour and gaming analytics. You’ll work across both real-time and More ❯
the Data Engineering function. From a hands-on perspective, you’ll be designing and maintaining robust ETL pipelines, working with tools like AWS Redshift, S3, and Kafka, and collaborating with internal stakeholders to deliver insights into player behaviour and gaming analytics. You’ll work across both real-time and More ❯
the Data Engineering function. From a hands-on perspective, you’ll be designing and maintaining robust ETL pipelines, working with tools like AWS Redshift, S3, and Kafka, and collaborating with internal stakeholders to deliver insights into player behaviour and gaming analytics. You’ll work across both real-time and More ❯
Join a leading force in the music industry, empowering artists at every stage of their careers. We're looking for a Lead Data Engineer to spearhead the development and optimisation of our cutting-edge Analytic Data Platform (ADP). You More ❯
utilise the newest technologies on the market. Your role will include: Responsible for designing and implementing effective Architectural solutions around the AWS Severless Technologies (S3, Lambda, Athena, Kafka) and Databricks including Data Lake and Data Warehousing. Assess database implementation procedures to ensure they comply with GDPR and data compliance. … codes, building data pipelines and doing digital transformation and ingestion a certain tech suite. Extensive experience in implementing solutions around the AWS cloud environment (S3, Databricks, Athena, Glue), In depth understanding of Workflows, Asset Bundles, SQS, EKS, Terraform, Excellent understanding of Data Modelling & Kinesis An understanding of SQL/ More ❯
City Of London, England, United Kingdom Hybrid / WFH Options
McGregor Boyall
Kafka, MongoDB, RabbitMQ, Solace, Apache Ignite. The platform runs in a hybrid mode both on-premises and in AWS utilising technologies such as EKS, S3, FSX. Objectives Steering platform onboarding into AWS and Google Cloud Provide solutions in terms of performance, robustness and cost-effectiveness Identifying and defining necessary … Java debugging, including remote debugging of services deployed to K8s Experience and good understanding of core technologies provided by GCP/AWS, such as S3, FSX, EKS, SQS, SNS, Kinesis, AmazonMQ, DynamoDB, GKE, CloudStorage, PubSub, Filestore Apply for more details and Full Job specifications. Hybrid Working Circa 3 Days More ❯
City of London, London, United Kingdom Hybrid / WFH Options
Matchtech
related technologies. Key Responsibilities Produce and maintain architecture diagrams, high- and low-level design documentation Lead configuration of Splunk and associated infrastructure (AWS EC2, S3, SQS, etc.) Drive use case development aligned with CSOC and MITRE ATT&CK framework Attend and represent the project at key technical forums (ADF … initiatives Proven ability to define and implement change within complex cyber environments Excellent documentation, communication, and stakeholder engagement skills Solid AWS infrastructure knowledge (EC2, S3, SQS, etc.) Desirable Skills & Experience Experience with SIEM convergence from legacy platforms Familiarity with tools such as JIRA, Confluence, Git Background in Ethical Hacking More ❯
