576 to 600 of 615 Permanent AWS Lambda Jobs

deployed at scale, both on-premises at individual corporate enterprises with tens of thousands of clients, and in the cloud across multiple Amazon AWS instances. We're looking to scale further, while also adding support for new products and enhancing existing features (see https://www.hpwolf.com/). … backend (Python 3, Django, SQL) The background worker service/task queues (Celery) Front-end UI and data visualisation (React, Typescript, Vue.js) Deployment to AWS Integration with HP's own Cloud Platform Services and other HP Products. Unit tests, automated installation tests, anything else we can have ...

cloud infrastructure whilst guiding and mentoring more junior engineers in the team. Our Tech We have Python, TypeScript, and Javascript services running mostly on Lambda functions. We use Step Functions extensively to orchestrate our workflows. Our persistence layer is largely Aurora (Postgres), DynamoDB, MemoryDB (Redis), and Timestream. However … design, delivery and deployment of large scale, complex projects which are used heavily by thousands of people with high throughput. Using modern technology like AWS serverless infrastructure and events driven microservice architecture Mentoring more junior members of the team to help support their growth and development and help scale ...

ensure secure, resilient data solutions for clients in regulated environments. You’ll lead data ingestion, transformation and governance efforts, leveraging S3/Glue/Lambda/Redshift and related AWS services, while applying CI/CD and IaC practices to deployments. #J-18808-Ljbffr ...

week. This role requires the ability to hold an active security clearance. Skills : Python and SQL . Apache Airflow for DAG orchestration and monitoring. AWS data services: Redshift , OpenSearch , Lambda , Glue , Step Functions , Batch . CI/CD pipelines and YAML-based configuration Seniority level Mid-Senior level ...

week. This role requires the ability to hold an active security clearance. Skills : Python and SQL . Apache Airflow for DAG orchestration and monitoring. AWS data services: Redshift , OpenSearch , Lambda , Glue , Step Functions , Batch . CI/CD pipelines and YAML-based configuration Seniority level Mid-Senior level ...

FalconSmartIT in London is seeking an AWS Data Engineer to design and build scalable data pipelines using Python and Apache Spark, with hybrid work in mind. You will orchestrate data workflows using AWS Glue, EMR Serverless, Lambda and S3, integrate lakehouse architecture with Apache Iceberg, and collaborate ...

AWS Neuron is the complete software stack for the AWS Inferentia and Trainium cloud-scale machine learning accelerators and the servers that use them. As the Software Development Engineer for the Neuron Runtime Team, you will be responsible for working alongside a team of engineers to develop … candidate will have experience in architecting, building, and operating distributed systems with a focus on high availability and fault tolerance, Hands-on experience with AWS services (e.g., EC2, ECS, CloudWatch, S3, Lambda) in production environments and track record in Owning services end-to-end including deployment, monitoring, alarming ...

control messages between on-site devices and cloud services, handling both fast-path live outputs and asynchronous post-processing workflows via SQS and AWS Batch. Cloud infrastructure on AWS, including Greengrass for edge-to-cloud orchestration, S3 for video and data storage, and Lambda for lightweight processing … evolving API contracts (OpenAPI or similar) in a fast-moving, still-evolving product environment. Familiarity with modern cloud identity and access management approaches (e.g. AWS Cognito or equivalent) is a plus. Strong communication skills - able to work directly with product and cross-functional stakeholders, and to mentor or direct ...

control messages between on-site devices and cloud services, handling both fast-path live outputs and asynchronous post-processing workflows via SQS and AWS Batch. Cloud infrastructure on AWS, including Greengrass for edge-to-cloud orchestration, S3 for video and data storage, and Lambda for lightweight processing … evolving API contracts (OpenAPI or similar) in a fast-moving, still-evolving product environment. Familiarity with modern cloud identity and access management approaches (e.g. AWS Cognito or equivalent) is a plus. Strong communication skills - able to work directly with product and cross-functional stakeholders, and to mentor or direct ...

control messages between on-site devices and cloud services, handling both fast-path live outputs and asynchronous post-processing workflows via SQS and AWS Batch. Cloud infrastructure on AWS, including Greengrass for edge-to-cloud orchestration, S3 for video and data storage, and Lambda for lightweight processing … evolving API contracts (OpenAPI or similar) in a fast-moving, still-evolving product environment. Familiarity with modern cloud identity and access management approaches (e.g. AWS Cognito or equivalent) is a plus. Strong communication skills - able to work directly with product and cross-functional stakeholders, and to mentor or direct ...

ongoing learning, system assessment and platform enhancement.The technology environment includes:Python for API and data development• Flask and FastAPI• React with Typescript and Vite• AWS services including ECS, Lambda and event-driven architectures• Postgres• React Query• Jest, React Testing Library and PlaywrightThis role is particularly well suited ...

years in data engineering, platform engineering, or distributed systems — with at least 3 years managing engineering teamsExperience and knowledge of building data-lakes in AWS (i.e. Spark, Athena, Iceberg, Parquet, Presto), including data modeling, data quality best practices, and self-service tooling.Strong expertise in building and operating real-time … monitoring, automated remediation, or LLM-integrated toolingProficiency in Python, Scala, or Java in a production data platform contextSolid understanding of cloud-native data infrastructure (AWS preferred — Glue, Athena, S3, EMR, Lambda, or equivalents)Track record of managing, recruiting, and developing high-performing remote engineering teamsAbility to translate long ...

concepts through written and verbal communication. Master's degree or above in Mathematics, Statistics, Computer Science, or related scientific field. Preferred Qualifications Experience with AWS services including S3, Redshift, SageMaker, EMR, Kinesis, Lambda, and EC2. Experience in defining and creating benchmarks for assessing generative AI model performance. Experience ...

will lead hands-on development in an agile team, focusing on document processing and ML automation using Python, AI/ML libraries, and AWS infrastructure including Lambda, S3 and CDK. Strong Python and ML experience are essential for success. #J-18808-Ljbffr ...

complex concepts through written and verbal communication- Master's degree or above in Math, Statistics, Computer Science, or related science fieldPreferred qualification - Experience with AWS services including S3, Redshift, Sagemaker, EMR, Kinesis, Lambda, and EC2- Experience in defining and creating benchmarks for assessing GenAI model performance- Experience working ...

Experience effectively communicating complex concepts through written and verbal communicationPreferred qualification - Experience in defining and creating benchmarks for assessing GenAI model performance- Experience with AWS services including S3, Redshift, Sagemaker, EMR, Kinesis, Lambda, and EC2- Experience working on multi-team, cross-disciplinary projectsAmazon is an equal opportunities employer. ...

market platforms (Polymarket, Manifold, etc.) Quantitative background in maths, statistics, or probability theory ML experience including random forests, regression models, scikit-learn, and PyTorch AWS infrastructure experience deploying containerised applications and managing cloud environments (EC2, Lambda, RDS) Open-source contributions to AI or crypto projects Compensation Salary ...

experience in applied machine learning and deploying production modelsProficiency in Python, SQL, and ML frameworks such as TensorFlow, PyTorch, or scikit-learnExperience with AWS services and Databricks; understanding of ML Ops is highly beneficial Ability to quickly adapt to new tools and independently deliver scalable solutionsFamiliarity with data pipelines … involving Kafka, Debezium, S3, Lambda, and Delta Lake is a plusApply now to find out more!Location:Newcastle upon Tyne Tyne and Wear Newcastle upon Tyne NE12 8BX Salary:50000 - 70000Sector: Data Type:PermanentPosted:08/01/ ...

Data Engineer to design and implement data extraction, transformation and aggregation pipelines to support Product reporting. The role will primarily work with AWS data sources, including DynamoDB and CloudWatch, and deliver curated datasets to Power BI and potentially Microsoft Fabric. Key Responsibilities Extract data from DynamoDB, CloudWatch and other … AWS data sources Design and implement data transformation, cleansing and aggregation processes Develop efficient and reusable data pipelines using appropriate AWS services Create curated datasets and data models suitable for Power BI and Microsoft Fabric Support the development and maintenance of Power BI reports and dashboards Work with ...

solutions, moving quickly from idea to PoC to production, with a hacker mindset. You will build Python APIs (FastAPI/Flask), deploy on AWS (ECS/EKS, Lambda), and work with LangChain, AutoGen, and CrewAI to deliver generative AI applications. This role emphasizes risk awareness, collaboration with technology ...

revenue generation and business KPIs.Prioritize initiatives that directly improve LTV, retention, ARPU, ROAS, and operational efficiency.Deliver robust, production-ready ML systems across multiple verticals.Leverage AWS SageMaker, Snowflake, and internal tools with strong MLOps practices.Build and manage a high-performing AI/ML team of 10–20 professionals.Promote a culture … retention.Executive presence with strong stakeholder communication skills across technical and non-technical audiences.Hands-on experience with user-level and performance marketing data.• Proficiency with AWS (SageMaker, Lambda, Step Functions), Snowflake, and modern MLOps tooling.Familiarity with ML frameworks including PyTorch, TensorFlow, scikit-learn, and XGBoost.Experience managing and scaling high ...

business KPIs. Prioritize initiatives that directly improve LTV, retention, ARPU, ROAS, and operational efficiency. Deliver robust, production-ready ML systems across multiple verticals. Leverage AWS SageMaker, Snowflake, and internal tools with strong MLOps practices. Build and manage a high-performing AI/ML team of 10–20 professionals. Promote … presence with strong stakeholder communication skills across technical and non-technical audiences. Hands-on experience with user-level and performance marketing data.• Proficiency with AWS (SageMaker, Lambda, Step Functions), Snowflake, and modern MLOps tooling. Familiarity with ML frameworks including PyTorch, TensorFlow, scikit-learn, and XGBoost. Experience managing ...

with SQL- Experience as a Data Engineer or in a similar role- Experience building large-scale, high-throughput, 24x7 data systemsPreferred qualification - Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions- Experience with non-relational databases/data ...

software engineers, with hiring, performance, and career development Solid technical background in modern web and backend systems, including APIs and cloud platforms such as AWS, Serverless, Lambda, PHP, Laravel, Angular, React Experience and confidence in using AI tooling for general purpose and software engineering tasks Experience contributing ...

high-volume ingestion, messy real-world artefacts, and pipelines that have to be both fast and correct. The stack is fully Python, running on AWS Fargate, EC2, and Serverless. Key Responsibilities Data Ingestion at Scale: Design, build, and operate pipelines that ingest large volumes of telemetry from mobile endpoints … mobile forensic artefacts, accommodating evolving data formats and schema changes Optimize data storage and query performance across large datasets Deploy and operate services on AWS Fargate, EC2, and Serverless Collaborate directly with researchers to understand what they need and build it Establish monitoring, alerting and data quality checks ...