476 to 500 of 642 AWS Lambda Jobs

React Native and TypeScript, which talks to a backend service written in Kotlin and backed by a PostgreSQL database, all of which runs on AWS and is managed via Terraform. Our internal tools leverage these technologies in addition to Web React and Python. We’re an encouraging environment that … Evaluate and deliver timeline estimates for projects Requirements 5+ years of professional experience building API applications using Python or Kotlin ideally. Experience working in AWS cloud, and leveraging services like ECS, Lambda, RDS, DynamoDB, SQS, SNS, EventBridge. Experience owning user‐facing features end‐to‐end, from conception ...

React Native and TypeScript, which talks to a backend service written in Kotlin and backed by a PostgreSQL database, all of which runs on AWS and is managed via Terraform. Our internal tools leverage these technologies in addition to Web React and Python. We’re an encouraging environment that … Evaluate and deliver timeline estimates for projects Requirements 5+ years of professional experience building API applications using Python or Kotlin ideally. Experience working in AWS cloud, and leveraging services like ECS, Lambda, RDS, DynamoDB, SQS, SNS, EventBridge. Experience owning user‐facing features end‐to‐end, from conception ...

Expert Python Deep hands-on PyTorch experience; TensorFlow welcome Experience with Hugging Face Transformers, timm, scikit-learn, NumPy, pandas, and OpenCV Production experience on AWS, specifically Amazon SageMaker, including training and processing jobs, pipelines, model registry, and endpoints Practical MLOps experience with MLflow, hyperparameter optimisation, and reproducible, configuration-driven … workflow, automated testing, and CI/CD Ability to explain technical trade-offs clearly to non-engineers Desirable: event-driven and streaming architectures on AWS, including Step Functions, Lambda, Kinesis, ECS, and DynamoDB Desirable: model monitoring in production, inference logging, and drift detection Desirable: exposure to healthcare, medical ...

cases)Improve data quality and governance: schema enforcement, lineage, documentation and lakehouse-to-operational-store sync for consumer-facing dataArchitect Python backend services on AWS serverless paths, including authentication and tenant-scoped access patterns Shape how capabilities are exposed through OneSuite (streaming workflows, tool permissions, MCP integrations and stable … strong SQL and modern testing practicesHands-on Databricks/PySpark experience and lakehouse/medallion architecture (or equivalent large-scale data pipeline experience)Strong AWS serverless background (Lambda, API Gateway, S3, DynamoDB, IAM) with infrastructure-as-code (e.g., CloudFormation/SAM)Deep understanding of multi-tenant SaaS design ...

underpin critical business reporting and operational decision‐making. You will drive the development of data pipelines, models, and architecture across our modern data stack (AWS, Snowflake, dbt) ensuring performance, reliability, and scalability. Working closely with Architecture, Data Analytics, and Salesforce teams, you will drive the evolution of our data … translate complex business needs into scalable, production‐grade data solutions. Key Responsibilities Design, build and optimise scalable data pipelines and data products across AWS, Snowflake and dbt, setting engineering standards and best practices. Lead the development of robust, testable dbt models and frameworks to ensure high data quality, consistency ...

deliver end-to-end product features across the stack: UI, APIs, and data model. Develop in TypeScript on Node and use Pulumi to deploy AWS tech like Lambda, DynamoDB and API Gateway in a way that’s reproducible, reviewable, and safe to change. Design event-driven solutions that … Ruby in the past and are keen to see what the TypeScript fuss is all about! You might have worked with cloud providers like AWS and Azure in the past. Have familiarity with Infrastructure-as-code such as Pulumi/Terraform, ORMs such as Prisma or Drizzle ...

have frontend experience with Vue.js, React or modern Angular You have a good knowledge of SQL and relational databases You have production experience with AWS, ideally including SQS, DynamoDB, S3, ECS and Lambda You have experience owning CI/CD and release processes, such as GitHub Actions ...

inputs/outputs, and adherence to resiliency and security expectations; experience coaching senior engineers/leads on compliant usage patterns and controls. Strong AWS background, including serverless orchestration (Step Functions/Lambda), container deployment (ECS/EKS), and managed data services Proven track record designing and evolving service ...

work on, from design through to deployment and supporting them in production. Skills: Java and Spring Boot REST APIs and Kafka event-driven systems AWS (including S3, Lambda, ECS, EKS, MSK) TDD, CI/CD and IaC Observability AI assisted engineering The money is good ...

Fivetran, or Tableau would be beneficial but is not essential. Our Tech Environment: Data Stack: Snowflake, dbt, SQL, Python, Fivetran, Dagster, DataDog, Tableau. Infrastructure: AWS (SageMaker, EC2, Lambda, Glue, S3), Terraform, API Gateway. Collaboration Tools: GitHub, Jira, Confluence. Analytics Tools: GA4, GTM, GCP BigQuery. How we get there ...

Experience in orchestrating complex pipelines using Airflow, Dagster or other Proficiency in one or more programming languages: Python, Java, GO or other Experience with AWS or GCP and their products (S3, GCS, Kinesis, Pub/Sub, Lambda/Cloud functions, DataProc) Experience with one of the main databases ...

work across a broad set of technologies as we evolve the platform. Experience is helpful, but not essential:Languages: Python, SQL, Terragrunt, JavaScriptCloud: AWS (primary), some GCPWarehouse & Storage: Snowflake, S3/ParquetData & ETL: dbt, FivetranPlatform & Infra: Kubernetes, Kafka, RabbitMQ, Argo, GitHub Actions, HashiCorp VaultObservability: Datadog, GrafanaDashboarding: PresetOther: ClaudeWhat … ability (Python or similar)Strong experience with Snowflake (or similar warehouses)Good understanding of software engineering patterns and architecturesExperience building data-intensive systemsCloud experience (AWS preferred)Infrastructure as code (Terraform ideally)CI/CD best practicesFamiliarity with modern data architectures (Lambda/Kappa)Just as importantly ...

work across a broad set of technologies as we evolve the platform. Experience is helpful, but not essential: Languages: Python, SQL, Terragrunt, JavaScript Cloud: AWS (primary), some GCP Warehouse & Storage: Snowflake, S3/Parquet Data & ETL: dbt, Fivetran Platform & Infra: Kubernetes, Kafka, RabbitMQ, Argo, GitHub Actions, HashiCorp Vault Observability … similar) Strong experience with Snowflake (or similar warehouses) Good understanding of software engineering patterns and architectures Experience building data-intensive systems Cloud experience (AWS preferred) Infrastructure as code (Terraform ideally) CI/CD best practices Familiarity with modern data architectures (Lambda/Kappa) Just as importantly ...

platformsExperience designing and building event streaming architectures using technologies such as Apache Kafka and Azure Event HubsStrong working knowledge of Azure and/or AWS cloud services, including compute, storage, serverless, and container orchestration (e.g., AKS, EKS, Azure Functions, Lambda)Solid experience with .NET/C# ...

offices at least once per week. Job requirements Strong experience in modern C#, TypeScript, HTML and CSS Strong cloud platform experience, ideally AWS Strong CI/CD experience Strong experience of using infrastructure as code (e.g., CDK, Terraform) Experience developing serverless applications (e.g., Lambda) A strong focus ...

Alembic, Pytest, and type checking. Experience with Pandas, NumPy, Jupyter, OpenTelemetry, Git/GitHub, GitHub Actions, and Docker. Experience developing microservices and/or Lambda-based solutions. Strong experience with PostgreSQL. Experience working with AI/ML technologies, particularly ASR, TTS, LLMs, or related tooling, is highly desirable. AWS ...

/ML delivery lifecycle: stakeholder requirements, solution design, prototyping, evaluation, deployment support, monitoring, and iteration.Develop Python-based AI/ML solutions on AWS/GCP, contributing production-ready code as part of a delivery team.Build and evaluate AI/LLM solutions, including prompt/RAG patterns and agentic workflows … offs clearly.Collaborative, curious, and comfortable working with ambiguity.Preferred qualifications, capabilities and skillsExperience delivering AI/ML solutions in a regulated financial organisation.Cloud experience on AWS and/or GCP, with AWS preferred.Experience with tools such as S3, Lambda, Glue, Athena, Iceberg, Vertex AI, BigQuery, GCS, Cloud ...

Responsibilities Design, develop, and maintain high-performance backend services using Golang. Build scalable microservices and RESTful APIs. Develop and support cloud-native applications within AWS environments. Contribute to architecture discussions and technical decision-making. Implement CI/CD pipelines and automated testing practices. Work with event-driven and serverless … assisted development tools to improve productivity and quality. Skills & Experience Commercial experience developing applications usingGolang. Experience building APIs, microservices, and distributed systems. Exposure to AWS cloud services and modern cloud-native development. Understanding of CI/CD pipelines and automated testing practices. Experience working with SQL and/ ...

AWS Neuron is the complete software stack for the AWS Inferentia and Trainium cloud-scale machine learning accelerators and the trn and inf servers that use them. This position is for a Software Engineer that will lead the development of various services that will aid in optimization, analysis … delivery to customers. Deep knowledge of optimization, resource management, scheduling are needed. The ideal candidate will have experience working on services like EC2, EKS, Lambda in AWS or similar services on other cloud providers. Key job responsibilities This engineer will lead the design and implementation of new tools ...

Senior Data Engineer At Allwyn UK, we are looking for a Senior Data Engineer to design, build and optimise scalable data solutions across our AWS data platform. You will work with Redshift, Python, Airflow and AWS services to develop reliable data pipelines, support real‐time data processing … enable high‐quality analytics and business insights. Responsibilities Build and maintain scalable data pipelines and ETL processes using Python, SQL, Airflow, AWS Glue and Redshift. Develop batch and near real‐time data solutions to support operational and analytical needs. Optimise data performance, reliability and cost efficiency across the platform. ...

data warehouse using Fivetran and custom pipelines Own data orchestration to keep data moving on schedule and recover cleanly from failures Build and manage AWS-based data infrastructure as code with Terraform Build enterprise-grade customer data pipelines and connectors for HR, payroll, and other systems Reliably and securely … product and stakeholders to scope problems and agree on simple, scalable solutions Build according to security practices such as the OWASP Top 10 and AWS Well-Architected Framework Requirements Strong experience with Python and SQL A few years building and running production data pipelines that other people relied ...

/ML delivery lifecycle: stakeholder requirements, solution design, prototyping, evaluation, deployment support, monitoring, and iteration. Develop Python-based AI/ML solutions on AWS/GCP, contributing production-ready code as part of a delivery team. Build and evaluate AI/LLM solutions, including prompt/RAG patterns … comfortable working with ambiguity. Preferred qualifications, capabilities and skills Experience delivering AI/ML solutions in a regulated financial organisation. Cloud experience on AWS and/or GCP, with AWS preferred. Experience with tools such as S3, Lambda, Glue, Athena, Iceberg, Vertex AI, BigQuery, GCS, Cloud ...

/ML delivery lifecycle: stakeholder requirements, solution design, prototyping, evaluation, deployment support, monitoring, and iteration. Develop Python-based AI/ML solutions on AWS/GCP, contributing production-ready code as part of a delivery team. Build and evaluate AI/LLM solutions, including prompt/RAG patterns … comfortable working with ambiguity. Preferred qualifications, capabilities and skills Experience delivering AI/ML solutions in a regulated financial organisation. Cloud experience on AWS and/or GCP, with AWS preferred. Experience with tools such as S3, Lambda, Glue, Athena, Iceberg, Vertex AI, BigQuery, GCS, Cloud ...

removing technical blockers for delivery teams. You will operate effectively when requirements are incomplete, making evidence-based recommendations and creating clarity for customer, AWS, and partner teams.Beyond individual solutions, you will help customers address the wider conditions required for sustained value from AI, including data readiness, platform architecture, security … models, adoption, and value measurement. You will also strengthen the Data & AI practice through mentoring, technical standards, reusable assets, and feedback from customer delivery.The AWS Professional Services organisation is a global team of experts that helps customers realise their desired business outcomes using AWS. We work with customer teams ...

collaborative team made up of software engineers and platform engineers across a range of experience levels. The team works across technologies including Terraform, AWS, Node.js, C# and Python, but we do not expect you to know everything from day one. In this role, you will work closely with engineers … using Terraform, following existing module patterns while identifying opportunities to improve quality, maintainability and automation.Apply least-privilege and secure-by-default principles consistently across AWS accounts, helping ensure our infrastructure meets Trainline’s standards for security and operational excellence.Build or contribute to automation scripts and tooling using Node.js ...