Diversity and Inclusion. Role : Machine Learning engineer Key Responsibilities Work with our customers and focus on our AWS Analytics and ML service offerings such AmazonKinesis, AWS Glue, Amazon Redshift, Amazon EMR, Amazon Athena, Amazon Sagemaker and more. Help our customers to remove the … Solution Architects, Data Scientists and Service Engineering teams Experience with design, development and operations that leverages deep knowledge in the use of services like AmazonKinesis, Apache Kafka, Apache Spark, Amazon Sagemaker, Amazon EMR, NoSQL technologies and other 3rd parties Develop and define key business questions … Science, Engineering, Mathematics or a related field Experience of Data platform implementation, including 3+ years of hands-on experience in implementation and performance tuning Kinesis/Kafka/Spark/Storm implementations Experience with analytic solutions applied to the Marketing or Risk needs of enterprises Basic understanding of machine more »
the following to build high throughput, low latency, near real-time products: Java and Scala based Web Services, Databricks Data Lakes (Delta Lakes), AWS Kinesis and MSK, AWS ElasticSearch, AWS RDS, Apache Flink & Spark, scripting using Python, Terraform’s infrastructure as a code. The interview process Our interview aims more »
Master's preferred) 7+ years as a Network Engineer/Architect, with focus on SDN, AWS, Azure, and security Hands-on with AWS (Lambda, Kinesis, DynamoDB, S3) and Azure for serverless apps Deep knowledge of network security (firewalls, IDPS), reducing security incidents by 70% Certifications: CCNP, CCIE, AWS Certified more »
Monitoring and optimising applications, especially those written for the JVM Relational and NoSQL databases, particularly PostgreSQL, Aurora, & DynamoDB with experience modelling & optimising query performance Kinesis or any other streaming data Excellent communication skills, specifically in understanding, framing and simplifying both technical & business requirements Comfort with ambiguity and leading conversations more »
Technology Stack: We are cloud-native, born in AWS, and embrace their services across our platform. Our technology stack includes Python, Django, ECS, Postgres, Kinesis, Cloudfront, Flink, Elastic Search, Lambda, Amazonmq, Terraform, and Postgres. Tooling includes Datadog, Linear, Slack, Notion and CircleCI. If you think you tick the boxes more »
Manchester Area, United Kingdom Hybrid / WFH Options
Burns Sheehan
DevOps Engineer Location: 🌐 Primarily home based with monthly in person meetings in Manchester 🌐 Salary range: 💷 £70,000 to £80,000 💷 Technology: AWS (EC2, S3, Kinesis, Lambda), Terraform, Prometheus Burns Sheehan is working with a thriving SaaS payments business to help identify their next Senior DevOps Engineer. Reporting to the more »
Nottingham, Nottinghamshire, East Midlands, United Kingdom
Experian Ltd
using Python and the AWS Cloud Development Kit. You'll use a variety of services such as SNS, SQS and Lambda for event streams, Amazon Redshift, S3 and AWS Glue for data storage & reporting and Amazon SageMaker for our pioneering machine learning products. We are a growing team … products and the communication skills to work with our colleagues across ECS to help them use our services. Python andAWS Services such as S3, Kinesis, Lambda, Redshift, DynamoDB, Glue and SageMaker Infrastructure-as-Code tools and approaches (we use the AWS CDK with CloudFormation) Data processing frameworks such as more »
certifications on the training platform of your choice. As a Senior Solution architect, you'll be implementing and driving large-scale cloud implementations on Amazon AWS. Other duties include: Architecting and implementing cloud solutions for different applications, automating cloud operations and cloud deployments Assume responsibility for the architecture of … consulting with application development teams on same Cloud technology, ideally AWS including PaaS services such as S3, Lambda, Step Functions, ECS, Docker, SNS, SQS, Kinesis, SageMaker etc. Understanding of distributed application design, patterns, and experience producing design diagrams and documenting standards Qualifications Security Clearance eligible. You musthavethe right to more »
certifications on the training platform of your choice. As a Senior Solution architect, you'll be implementing and driving large-scale cloud implementations on Amazon AWS. Other duties include: Architecting and implementing cloud solutions for different applications, automating cloud operations and cloud deployments Assume responsibility for the architecture of … consulting with application development teams on same Cloud technology, ideally AWS including PaaS services such as S3, Lambda, Step Functions, ECS, Docker, SNS, SQS, Kinesis, SageMaker etc. Understanding of distributed application design, patterns, and experience producing design diagrams and documenting standards Qualifications Security Clearance eligible. You musthavethe right to more »
certifications on the training platform of your choice. As a Senior Solution architect, you'll be implementing and driving large-scale cloud implementations on Amazon AWS. Other duties include: Architecting and implementing cloud solutions for different applications, automating cloud operations and cloud deployments Assume responsibility for the architecture of … consulting with application development teams on same Cloud technology, ideally AWS including PaaS services such as S3, Lambda, Step Functions, ECS, Docker, SNS, SQS, Kinesis, SageMaker etc. Understanding of distributed application design, patterns, and experience producing design diagrams and documenting standards Qualifications Security Clearance eligible. You musthavethe right to more »
Data Center Systems team builds services to monitor data center infrastructure conditions. Our services directly contribute to the high availability of AWS datacenters and Amazon's sustainability goals. Teams in Data Center Systems solve problems of large-scale metric ingestion, distributed systems/cloud computing, data visualization, anomaly detection … software that keeps critical infrastructure running efficiently and securely. You'll have the opportunity to build systems using AWS technologies including Lambda, ECS Fargate, Kinesis, API Gateway, DynamoDB, Step Functions, and more. We don't expect you to have expertise or even familiarity with all of the technologies listed … and across teams. - Think Big! Influence cross-team architectural and project delivery decisions, and contribute to our long term roadmap planning. About the team Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's more »
