AWS Lambda Jobs

I need a fully-functioning staging environment for my website built inside AWS. The goal is to let me test new features safely before they ever reach production, so the staging copy must mirror the live site in look, performance, and basic integrations. Here’s what I expect: • A separate AWS account or clearly isolated VPC that will not interfere with production resources. • Clean deployment of the site’s codebase and assets to that new environment. I’m open to EC2, S3, a managed database, or any combination you recommend, as long as the final result matches the live site’s behaviour. • Best-practice security (private key access, least-privilege IAM roles, HTTPS). • A straightforward way for me to push updates to staging—Git-based ...

Job Description: We are looking for an experienced AWS SES expert to help us get our Amazon SES account approved for Production Access and ensure our email sending setup follows AWS best practices. Our platform is a SaaS application for selling online courses, and we use SES for transactional emails such as account verification, password resets, purchase confirmations, and course enrollment notifications. Scope of Work: Review our current Amazon SES configuration. Verify that our domain and DNS records (SPF, DKIM, MAIL FROM if needed) are correctly configured. Review and improve our Production Access request. Submit or assist with the Production Access application. Respond to AWS support if additional information is requested. Configure bounce and complaint handling. Verify SMTP/API cre...

Core Focus: Roughly 50% hardening and governing cloud data pipelines, and 50% building business-facing AI/ML Proof of Concepts (POCs). Support MLOps infrastructure to operationalize, monitor, and scale models built by data science teams. Key Responsibilities Pipeline & Feature Engineering: Design, automate, and scale robust data pipelines for AI/ML workloads. Build and manage feature stores to support model training and inference. Data Integration: Ingest and transform structured and unstructured data sources using AWS Glue, Snowflake, and Informatica Data Management Cloud (IDMC). MLOps & Automation: Implement DevOps/MLOps practices and CI/CD pipelines (via GitHub Actions). Monitor pipeline performance, troubleshoot production issues, and mitigate model drift. Governance-b...

Here is the complete, compiled Phase 1 Project Brief for souk.com. You can copy and paste this directly into your Request for Proposal (RFP) or developer contract to ensure every technical standard, security measure, and localization rule is strictly enforced. # Technical Requirements Brief: (Phase 1) ## 1. Core Architecture & Performance Standards * **Infrastructure:** The backend must utilize a **Serverless architecture** (e.g., AWS Lambda, Google Cloud Functions) to scale automatically and minimize idle costs. * **Database Schema & Indexing:** Use a standard relational (PostgreSQL) or NoSQL (MongoDB/DynamoDB) database. All product schemas must be strictly indexed from day one to allow seamless migration to a dedicated search engine (like Elasticsearch) in Phase 2. * **Asset ...

## Phase 1 Project Brief: ### 1. Core Architecture & Speed Foundations * **Infrastructure:** True **Serverless architecture** (e.g., AWS Lambda or Google Cloud Functions). The backend must scale computing power automatically based on traffic. * **Database (Keep it Simple for Now):** Use a standard relational database (like **PostgreSQL**) or NoSQL (like **MongoDB/DynamoDB**). However, the schemas *must* be strictly indexed from day one so we can swap in a dedicated search engine (like Elasticsearch) in Phase 2 without having to rewrite the app. * **Asset Delivery:** All product listings, thumbnails, and banners must be served via a **Content Delivery Network (CDN)** with automated WebP image compression to save bandwidth. * **UI Performance:** The frontend must maintain a minimu...