1 to 3 of 3 Permanent AWS CodePipeline Jobs in the UK with Remote Work Options

transforming the patient experience and delivering clinical efficiencies, unlocking a new standard of cancer care. Our Technology We are a SaaS platform leveraging the AWS platform and an ecosystem of external SaaS components when needed. Architecturally we strive to be "serverless first", where practical, and recognise and use containerization … where necessary. A high level view of our tech stack is: AWS tools and resources inc: CodeBuild/CodePipeline, IAM, Lambda, S3, SNS, SQS, CloudWatch, Cloudformation, RDS, Cognito, API Gateway, S3+Cloudfront hosting, Pinpoint CI/CD with Bitbucket/CodeBuild/CodePipeline/Cloudformation Front-end: ReactJS … don’t govern Pragmatism Desired Skills and Experience Node.js/TS React JS CapacitorJS Typescript APIs (Preferably graphQL) Unit and integration testing Git skills AWS SQL DB (Preferably MySQL) Hybrid mobile application development experience (nice to have) i.e- ionic, react native What will you be getting involved in? Architecting more »

AWS Cloud Engineer - Sheffield (Remote) - £50k Flexible/Remote Working | AWS, Terraform | Personal Development Budget Ada Meher is currently partnered with a growing SaaS company on their search for an AWS Cloud Engineer, as they continue to develop their exciting product roadmap alongside the Lead Platform & Infrastructure … commitments, not the other way around. To be considered: Prior experience in a DevOps, Cloud Support Engineer or SysAdmin role Demonstrable commercial experience with AWS DevOps and surrounding services (EC2, S3 etc) Strong Experience in CI/CD and relevant technology (Eg. ConcourseCI, CircleCI, Amazon CodePipeline, TeamCity) Experience … and supportive culture where everyone works together to create innovative solutions to commercial problems. We are expecting a high number of applications for this AWS Platform Engineer role, so please get in touch today for more information to avoid missing out. You can either forward a CV to (url more »

and maintaining scalable, reliable, and secure data pipelines and platforms. Implement data ingestion, processing, storage, and delivery systems using technologies such as Spark, Databricks, AWS, Kinesis, Kafka, Airflow, Glue, Qlik, Great Expectations, GitHub, CodePipeline, Terraform, and Python. Optimize the performance, reliability, and cost-efficiency of the data lakehouse … or a related field. Proven experience in data engineering or a similar role, with significant expertise in Spark, GitHub, CI/CD, Python, and AWS technologies. Strong big data development background with experience building scalable, distributed, and fault-tolerant systems using microservices architecture and API strategy development. Excellent SQL more »