151 to 175 of 286 Permanent Amazon S3 Jobs

design Required Skills & Experience Strong commercial experience with React (5+ years preferred) Excellent knowledge of JavaScript/TypeScript Proven experience working with AWS (e.g. S3, CloudFront, Lambda, API Gateway, Cognito) Experience integrating front-end applications with APIs Solid understanding of modern front-end tooling and build pipelines Experience with ...

transformers) Experience deploying models and working with cloud platforms (AWS preferred) Ability to communicate complex technical concepts clearly Desirable AWS services (SageMaker, ECS, Lambda, S3, Bedrock) MLOps/ML engineering experience (Docker, MLflow) Experience in government or regulated environments Practical experience applying LLMs Security Clearance UKIC DV eligible required ...

technical stack includes: Languages & Frameworks: JavaScript/TypeScript React (web apps) React Native (mobile apps) with Expo Node.js Backend & Cloud: AWS (Lambda, DynamoDB, ECS, S3, API Gateway) Azure AD (authentication and identity management) Google Cloud Platform & Firebase (used selectively for mobile features) GitHub/GitHub Actions for CI/ ...

will need to have skills and experience in the following: Cloud Data Architecture: Strong knowledge of modern, cloud-based data architecture and tooling (eg, S3, Glue, Redshift, Athena, Lake Formation, Iceberg/Delta). AWS Platform Build: Demonstrable experience designing and building modern data platforms in AWS. ETL/ ...

will need to have skills and experience in the following: Cloud Data Architecture: Strong knowledge of modern, cloud-based data architecture and tooling (e.g., S3, Glue, Redshift, Athena, Lake Formation, Iceberg/Delta). AWS Platform Build: Demonstrable experience designing and building modern data platforms in AWS. ETL/ ...

roles (senior level). Hands-on experience with Python ML frameworks (scikit-learn, PyTorch, TensorFlow, XGBoost). Experience with AWS ML services (SageMaker, Lambda, S3) and MLOps/LLMOps tooling (MLflow, Weights & Biases, DVC). Proven track record transitioning models from experimentation to production with governance and quality controls. ...

practices, processes and team culture. 2. Technical Foundations Experience with any of the following is beneficial (they are open-minded): Python AWS serverless (Lambda, S3, SQS, API Gateway) React/JavaScript REST APIs SQL Strong back-end or cloud developers from other stacks will still be considered. 3. Energy ...

Eligible for UK Security Clearance and willing to undergo the process Desirable experience Practical knowledge of AWS services such as Lambda, ECS, Bedrock, S3 or SageMaker MLOps and ML engineering tooling (e.g. Docker, MLflow) Experience working in highly regulated or government environments Track record of applying large language models ...

Eligible for UK Security Clearance and willing to undergo the process Desirable experience Practical knowledge of AWS services such as Lambda, ECS, Bedrock, S3 or SageMaker MLOps and ML engineering tooling (e.g. Docker, MLflow) Experience working in highly regulated or government environments Track record of applying large language models ...

work Awareness of ethical, privacy, security and policy considerations in applied AI Desirable Experience Hands-on experience with AWS services such as Lambda, ECS, S3, SageMaker or Bedrock Knowledge of ML engineering and MLOps practices (e.g. Docker, MLflow) Experience working in government, defence or other highly regulated environments Proven ...

Fabric. Proficiency in core data integration languages like SQL and Python. Knowledge of data lakes, simulation, and warehousing technologies (e.g., Hadoop, Snowflake, AWS S3). Familiarity with Artificial Intelligence and Machine Learning platforms (e.g., Azure AI, AWS Sagemaker). Strong understanding of data quality, security, and compliance standards such ...

writing JAVA coding. Experience with Kafka or a similar platform. Experience with Scala and Spark. Integrating with backing services, such as PostgreSQL, Redis or S3 Good engineering practices including continuous delivery, clean code, documentation, defensive programming, automated testing and code reviews Working in Agile development and/or DevOps ...

+ optimizing .NET Core microservices and RESTful APIs. Developing + maintaining scalable serverless applications using AWS services such as: AWS Lambda, API Gateway, DynamoDB, S3, Step Functions, EventBridge, SNS/SQS, AppSync. Expertise in AWS serverless services (Lambda, API Gateway, S3, DynamoDB), DevOps practices + CI/ ...

+ optimizing .NET Core microservices and RESTful APIs. Developing + maintaining scalable serverless applications using AWS services such as: AWS Lambda, API Gateway, DynamoDB, S3, Step Functions, EventBridge, SNS/SQS, AppSync. Expertise in AWS serverless services (Lambda, API Gateway, S3, DynamoDB), DevOps practices + CI/ ...

implement ETL frameworks to ingest, transform, validate, normalise, and cleanse data - preparing it for analytics, reporting, and secure storage (e.g., Amazon S3, Azure Blob Storage, BigQuery, Snowflake). Apply data quality controls, build data models, and manage storage solutions within secure and compliant environments. Develop data integration ...

implement ETL frameworks to ingest, transform, validate, normalise, and cleanse data - preparing it for analytics, reporting, and secure storage (e.g., Amazon S3, Azure Blob Storage, BigQuery, Snowflake). Apply data quality controls, build data models, and manage storage solutions within secure and compliant environments. Develop data integration ...

implement ETL frameworks to ingest, transform, validate, normalise, and cleanse data - preparing it for analytics, reporting, and secure storage (e.g., Amazon S3, Azure Blob Storage, BigQuery, Snowflake). Apply data quality controls, build data models, and manage storage solutions within secure and compliant environments. Develop data integration ...

implement ETL frameworks to ingest, transform, validate, normalise, and cleanse data - preparing it for analytics, reporting, and secure storage (e.g., Amazon S3, Azure Blob Storage, BigQuery, Snowflake). Apply data quality controls, build data models, and manage storage solutions within secure and compliant environments. Develop data integration ...

implement ETL frameworks to ingest, transform, validate, normalise, and cleanse data - preparing it for analytics, reporting, and secure storage (e.g., Amazon S3, Azure Blob Storage, BigQuery, Snowflake). Apply data quality controls, build data models, and manage storage solutions within secure and compliant environments. Develop data integration ...

implement ETL frameworks to ingest, transform, validate, normalise, and cleanse data - preparing it for analytics, reporting, and secure storage (e.g., Amazon S3, Azure Blob Storage, BigQuery, Snowflake). Apply data quality controls, build data models, and manage storage solutions within secure and compliant environments. Develop data integration ...

storage, and application teams to resolve cross-stack issues. Cloud & DevOps Collaboration Support deployments, migrations, and integration activities across Azure and AWS (EC2, RDS, S3, Azure VM, Azure Backup, Azure Storage). Work closely with application developers, DevOps engineers, and infrastructure teams on schema changes, CI/CD pipelines ...

client’s 100 circa Windows VMs over 6 different accounts using AppStream and RDS for databases an EC2 environment of over 100 services S3 backups and storage FSX cloud storage OKTA is central to their hub so lots of Okta and Okta Workflows work including automation projects Windows server ...

client’s 100 circa Windows VMs over 6 different accounts using AppStream and RDS for databases an EC2 environment of over 100 services S3 backups and storage FSX cloud storage OKTA is central to their hub so lots of Okta and Okta Workflows work including automation projects Windows server ...

performance, uptime, and scale, maintaining high standards of quality and thoughtful design. Cloud and Hybrid Infrastructure Architect and maintain AWS cloud infrastructure including EC2, S3, Aurora RDS, CloudFront, and WAF. Manage Azure services including Office 365, Intune MDM, and Exchange Online. Implement and maintain Azure DevOps pipelines ...

pipelines are optimized for performance, reliability, and maintainability. 🌳 AWS Expertise: Utilize AWS services for data storage, processing, and analytics. Leverage AWS technologies such as S3, Glue, Redshift, and others to build and maintain data solutions. Implement best practices for security and compliance in an AWS environment. 🌳 Python Programming: Demonstrate ...