51 to 75 of 103 Remote/Hybrid Amazon S3 Jobs

hands‐on Backend Developer to build and ship production serverless services for a fintech platform. Languages: TypeScript, Node.js (18–22) AWS: Lambda, DynamoDB, S3, SQS, EventBridge, Step Functions Frameworks/middleware: Serverless Framework, Middy Libraries: Zod (schemas/validation), Winston (logging), AWS X‐Ray (tracing), Luxon (dates) Tooling: ESLint ...

streaming data pipelines (event ingestion, aggregation, windowing, and emission) Must have deep hands-on experience with AWS (e.g., ECS/EKS, Lambda, DynamoDB, S3, CloudWatch) Must have Expert-level proficiency in Java Strong understanding of event-driven architecture , schema evolution, and downstream consumer integration Proven ability to design systems ...

Vector Search and Unity Catalog, or Azure OpenAI, Azure AI Foundry and Azure AI Search. AWS: Glue, Lambda, Step Functions, Kinesis, EMR, Athena, Redshift, S3 data lakes; and, for the AI edge, Amazon Bedrock, Knowledge Bases for Bedrock About Capgemini Hybrid working: The places that you work ...

Optimise applications for low latency and high throughput to efficiently process large-scale vehicle data. Develop cloud-native solutions using AWS services including EC2, S3, Lambda, ECS, SQS and Amazon Aurora. Build and deploy containerised applications using Docker and Kubernetes, implementing serverless architectures where appropriate. Apply best … excellence and continuous improvement. Essential Skills & Experience Strong commercial experience designing and developing cloud-native applications within AWS. Excellent knowledge of AWS services including S3, Lambda, EC2, ECS, SQS and Amazon Aurora. Expert-level Python development skills. Proven experience designing and building highly available, scalable and resilient ...

team environments and adapting to changing requirements Understanding of software design principles and engineering best practices Experience with cloud platforms (AWS, GCP), object storage (S3), or event/streaming systems (Kafka, Redis) Familiarity with Git for version control and deployment tooling such as GitLab CI/CD Desirable Experience ...

codebase, drive DevOps practices with Terraform, CI/CD, Jenkins and Harness, and work with Spark/Hadoop and AWS services like Glue, S3, and Lake formation. #J-18808-Ljbffr ...

engineers, and stakeholders to deliver robust solutions What You’ll Need Strong hands-on experience with Snowflake (development + admin) Proficiency in Terraform, AWS (S3, IAM), and OAuth integrations Programming skills in Python or Java Solid understanding of modern data architecture and orchestration tools Bonus: Experience with Denodo ...

following, or be open to learning: JavaScript: React, Node.js, Jest, Cypress Ruby (non-Rails environment) - nice to have AWS: EC2, ECS, Lambda, S3, SQS Databases: MongoDB & PostgreSQL They are looking for someone who is: Proactive, collaborative, and adaptable Approachable and supportive of colleagues A strong communicator with empathy ...

Python , Node.js , and modern development frameworks. Design, develop, and support cloud-based solutions across AWS , including services such as EC2, Lambda, Amplify, Athena, Cognito, S3, Redshift , & related technologies. Host, manage, & maintain custom applications across AWS and Zoho Catalyst . Develop and maintain secure, reliable API integrations between Zoho ...

Preferred Qualifications: - Experience with GenAI tools to enhance and automate processes. - Knowledge of programming languages like Python. - Familiarity with AWS solutions such as EC2, S3, and Redshift. - Capability in gathering business requirements and utilising business intelligence tools for data extraction and reporting. Why Join Us? Be part ...

working in investment bank or financial services industry* Experience of using cloud services such as AWS and distributed systems such as Kafka, Kubernetes, S3, DynamoDB, MongoDB or any other NoSQL database**What we’ll provide you:**By joining Citi, you will not only be part of a business casual ...

working in investment bank or financial services industry* Experience of using cloud services such as AWS and distributed systems such as Kafka, Kubernetes, S3, DynamoDB, MongoDB or any other NoSQL databaseThis job description provides a high-level review of the types of work performed. Other job-related duties ...

pytorch, tidyverse, caret, ggplot, etc.). Proven experience developing, refining, and monitoring NLP models. Familiarity with database management tools and techniques (e.g., SQL, Selenium, S3, Sagemaker, API protocols) is preferred but not required. Understanding model evaluation methods and metrics. Ability to operationalize non-technical ideas into relevant research designs ...

platforms and configuration-as-code within safe operational guardrails. Familiarity with AWS services that commonly interface with PHP/EKS workloads (e.g., CloudWatch, ALB, S3, SQS) and how they surface in Datadog and Kibana. Exposure to service onboarding/operability reviews, SLOs, and contributing to a Service Catalogue. Experience ...

implementing data lake architectures Experience building both batch and streaming data pipelines Strong knowledge of Kafka Good understanding of AWS data services, particularly S3 Knowledge of modern data architectures including Data Mesh and data product ownership models Ability to engage with technical and non-technical stakeholders across all levels ...

experience with dbt or similar ELT tools. Experience building and optimising scalable data pipelines and data warehouses. Knowledge of AWS technologies such as Redshift, S3 and Athena. Experience with Airflow, Fivetran or similar orchestration and integration tools. Strong Linux/Unix and Bash scripting skills. A solid understanding ...

Understanding of CI/CD pipelines (e.g. GitLab). Exposure to data platforms, MLOps or machine learning environments. Spark or Scala. AWS services (e.g. S3). Elasticsearch or graph databases. OIDC/OAuth. Node.js or React. To apply for this Analytics Platform Engineer permenent job, please click the button ...

technical direction across multiple teams or projects without necessarily having direct reports. ...you have significant experience with cloud infrastructure (AWS preferred) – services such as S3, ECR, ECS/EKS, and infrastructure managed via Terraform or similar – and can make informed architectural decisions about deployment and scalability. ...you have ...

Framework Advanced experience with Angular 16+ (Angular 18 preferred) and Node.js 18+ (Node.js 20 preferred) Advanced experience with AWS services: Lambda, DynamoDB, Aurora DB, S3, ECS, CloudWatch Advanced experience with Docker containerization and CI/CD pipelines (Jenkins, GitHub Actions, Harness) Advanced experience with microservices architecture, RESTful APIs … cloud-native design patterns Must have proficiency with AI-assisted development tools (e.g., GitHub Copilot, Cursor, Amazon Q) and experience using them in development workflows Experience with or strong interest in applying AI/ML to fraud detection, anomaly detection, or payment optimization use cases Strong understanding ...

decisions to technical and non-technical stakeholders. Nice to have: Exposure to AI and agentic integration: tool-calling or function-calling APIs, MCP, Amazon Bedrock and Bedrock Agents, Knowledge Bases for Bedrock, or vector search (e.g. OpenSearch, pgvector). GraphQL (Apollo). Event streaming (e.g. Apache Kafka). … Professional, or Security Specialty). Technologies you may work with: AWS: Lambda, API Gateway, Aurora/RDS, EC2, Route 53, ECR, STS, VPC, S3, and Amazon Bedrock for AI integration. API, integration and security: RESTful APIs, Apollo GraphQL, MCP; IAM, token-based authentication, external identity providers. Data ...

life—from massive GenAI models to fine‐tuned, specialized classifiers. Develop our custom‐built, content‐addressable storage abstraction layer over cloud object stores (GCS, S3, Azure Blob), complete with its own garbage collection and sharding logic. Enhance our asynchronous job‐queueing system, built from the ground ...

automation, continuous improvement and engineering quality. Nice to Have Python development experience. Feature flag platforms and configuration-as-code. AWS services such as S3, SQS, ALB and CloudWatch. Experience with SLOs, service onboarding and operational readiness. Working Pattern & On-Call Standard hours: Monday to Friday, 9am to 6pm. ...

unfamiliar technologies where required Technical Skills: Must-Have Skills: Python Kubernetes Docker CI/CD fundamentals (GitLab Pipelines) Highly Desirable Skills: Spark Scala S3 Storage Graph Databases Elasticsearch Vector Stores OIDC/OAuth NodeJS React To apply for Analytics Platform Engineer contract or permanent job, please click the button ...

Backend Developer to build production serverless services for a fintech platform. You will work with TypeScript and Node.js (18–22) on AWS Lambda, DynamoDB, S3, SQS, EventBridge, and Step Functions to deliver reliable microservices. You design REST APIs with type-safe schemas, model data for DynamoDB and PostgreSQL ...

investment data capability across the business. Requirements Python development experience Experience building investment or market data platforms within Financial Services AWS cloud experience (Lambda, S3, serverless, integrations) Knowledge of real-time data, time-series data, and event-driven systems Experience integrating vendor platforms such as Bloomberg, Refinitiv, MarketAxess ...