Full-Stack Cloud Engineer: GCP, Python, Node.js

@serazummunirz

Hi There, Hope you are well. I have extensive experience in architecting and building scalable cloud platforms on Google Cloud Platform (GCP). My expertise includes designing relational schemas, creating web scraping pipelines, and developing high-throughput APIs for B2B HR and LegalTech clients. With 4+ years of experience, I am well-equipped to take on this role. Thanks in advance for the opportunity to working with you. Best Regards, Serazum

@ykarora26

With extensive experience in cloud architecture and API development, I understand the need for a Senior Full-Stack Cloud & API Engineer to lead the Google Cloud backend setup, web scraping pipelines, and REST API integrations. I have successfully designed and implemented scalable database schemas using PostgreSQL and built web scraping pipelines with Python BeautifulSoup. My question is, how critical is real-time data monitoring for your platform, and would you require any specific monitoring tools integrated? Regards, Yogesh Kumar

@mayankinnovative

This role demands not just backend development, but the creation of the entire technical foundation for a **versioned, auditable, and high-throughput labor-law platform** on GCP. I will model effective dates, statutory versions, contribution brackets, and legal citations within a properly versioned schema in Cloud SQL PostgreSQL, and then automate Python Scrapy/Playwright ingestion pipelines using Cloud Functions/Cloud Run + Scheduler to reliably detect changes on government portals. I will deploy stateless, low-latency calculation engines built with FastAPI/Node.js onto Cloud Run. Authentication, rate limiting, logging, and usage metrics will be managed via API Gateway. WordPress/PHP, TidyCal, MailPoet, and payment webhooks will be integrated using a secure REST/OAuth2 architecture. Approach: Architecture → PostgreSQL schema/migrations → scraper & change detection → rule engines → Cloud Run APIs → API Gateway/security → integrations → testing/monitoring → deployment & documentation. 1. What are the target jurisdictions and government data sources? 2. Are specifications for statutory calculation rules/formulas available? 3. What is the expected API throughput and the number of concurrent B2B clients? 4. Is an existing GCP project/repository and deployment environment available? I will focus on delivering a production-ready platform end-to-end, utilizing a scalable, secure, and maintainable GCP architecture.

@TeraByte26

Hi, I will design Cloud SQL PostgreSQL schemas for versioned labor rules, build Python Scrapy/Playwright crawlers on Cloud Functions, create Node.js Fastify REST APIs on Cloud Run, set up API Gateway security, and integrate WordPress webhook callbacks. I can deliver a functional MVP in three weeks within your budget. Shall I start with a small scraper sample? Best regards Waiting for your response in chat! Best Regards.

@prashanpatel557

Hello, I can build the GCP-based backend and API infrastructure for your labor-law data platform using Python/FastAPI, PostgreSQL and cloud-native services. My experience includes Python automation, FastAPI/Flask, web scraping, REST APIs, PostgreSQL, data-processing pipelines, API integrations, webhooks and production deployment. I can handle: - Versioned PostgreSQL schemas for statutory rules, effective dates, brackets and citations - Python scraping/ingestion using BeautifulSoup/Scrapy/Playwright - Scheduled ingestion with Cloud Run/Functions and Cloud Scheduler - FastAPI/Node.js REST calculation services - Google Cloud API Gateway with authentication, rate limiting and logging - PostgreSQL indexing, JSON queries, CTEs and migrations - Webhooks, OAuth/API integrations and payment callbacks - WordPress REST/PHP middleware integrations - Structured logging, error handling and monitoring - Dockerized, scalable deployment on GCP I would first review the legal-rule data model and source portals, then design the ingestion → database → calculation API architecture for maintainability and future expansion. Estimated timeline: 3–5 weeks Budget: ₹30,000–₹37,500 depending on the scraping sources and API scope. Regards, Prashant Patel

@TechizeBuilder

Dear Client, I read "Full-Stack Cloud Engineer: GCP, Python, Node.js" carefully and understand you are looking for a full-stack developer who can handle both application development and AI integration. I have experience with Python, Web Scraping, NoSQL Couch & Mongo, Node.js, PostgreSQL, API Development and can work across the complete stack — frontend, backend, APIs, databases, authentication, third-party integrations and AI features. I can build scalable applications using modern technologies while keeping the codebase maintainable and production-ready. A few quick questions: Which AI models/APIs are you currently planning to use? Is there an existing application/codebase, or will the project be built from scratch? Thanks & Regards, Deepak

@Azursol

Hello, I understand the importance of owning the Google Cloud backend architecture, statutory rule engines, Web Scraping ingestion pipelines, and REST API Gateway integrations for your labor law data platform project. With over 10 years of experience in Python, Web Scraping, NoSQL Couch & Mongo, Node.js, PostgreSQL, Elasticsearch, Google Cloud Platform, and API Development, I am confident in my ability to deliver high-quality results. I have successfully designed relational database schemas, built web scraping pipelines, and developed REST APIs for similar projects in the past. My portfolio showcases my expertise in handling complex backend engineering tasks efficiently. I propose to architect versioned SQL relational schemas, build web scraping pipelines using Python, and develop low-latency REST calculation engines on Google Cloud Platform to meet your project requirements. Let's discuss how I can contribute to the success of your labor law data platform. Looking forward to collaborating with you further. Best regards,

@AZTURK1

Building a versioned statutory rules engine on GCP with automated scrapers and low-latency calculation APIs requires a solid data architecture and reliable serverless orchestration. ✅ Cloud SQL PostgreSQL schema design with temporal/versioned tables, JSONB indexing, and migration scripts for contribution brackets and effective dates. ✅ Scrapy/Playwright ingestion pipelines containerized on Cloud Run and triggered via Cloud Scheduler to detect and parse portal updates. ✅ Stateless FastAPI/Node calculation engines deployed behind Google Cloud API Gateway with API key auth, quotas, and WordPress webhook handlers. ✅ Staged deployment pipeline with automated Cloud SQL snapshots and zero-downtime container rollouts. ✅ 10+ years production experience | 400+ completed projects | 320+ five-star reviews ✅ Microsoft® Certified: MCSA | MCSE | MCT & cPanel Certified (CWSA-2) Do your target government portals require full browser rendering via Playwright to bypass dynamic DOMs, or are standard HTTP requests with Scrapy sufficient? I can deliver this in 1 day for 20800 INR and can jump on it right now.

@richard031596

You need a senior backend/cloud engineer who can build the GCP foundation, versioned labor-law data model, government-source ingestion pipelines, and low-latency calculation APIs as one reliable platform. I can handle this stack across Python/FastAPI/Scrapy, Node.js/TypeScript, PostgreSQL, PHP/WordPress, REST/webhooks, and GCP services including Cloud SQL, Cloud Run, Cloud Functions, Cloud Scheduler, Cloud Logging, and API Gateway. I would structure the statutory data model around effective dates, rule versions, contribution brackets, legal citations, and auditable migrations, with ingestion jobs detecting and recording source changes rather than overwriting historical rules. Scraping can run through scheduled Cloud Run/Functions workers using BeautifulSoup, Scrapy, or Playwright, with retries, deduplication, validation, and structured change logs. The calculation layer would use stateless FastAPI/Node services with indexed PostgreSQL queries and controlled API access through API Gateway, authentication, rate limits, logging, and usage metrics. I can also connect WordPress, payment callbacks, TidyCal, and MailPoet through REST/webhook middleware. Can you provide the target government portals and the first statutory ruleset so I can map the ingestion and versioning model?

@Joelite17

I can help build and own this platform end-to-end. I would start by designing the GCP architecture and PostgreSQL schema around versioned statutory rules, effective dates, contribution brackets, amendments, and legal citations, ensuring every calculation is traceable and auditable. I would then build Python-based ingestion pipelines using Scrapy, BeautifulSoup, and Playwright, deployed through Cloud Run/Functions and scheduled to monitor government portals for regulatory changes. For the core product, I would develop stateless FastAPI or Node.js/TypeScript microservices for high-throughput statutory calculations, expose them securely through Google Cloud API Gateway, and implement authentication, rate limiting, logging, monitoring, and usage metrics. I would also build the WordPress/PHP middleware and REST/webhook integrations required for payment callbacks, TidyCal events, and MailPoet automation. Throughout the implementation, I would apply PostgreSQL indexing, migrations, CTEs and JSONB where appropriate, automated testing, CI/CD, security controls, observability, and robust error handling. The goal would be a production-ready, scalable and auditable LegalTech platform where regulatory data, ingestion, calculations, APIs, and integrations operate reliably as one system.

@jayantkumar314

With over 4 years of practical experience in backend/cloud engineering, I am well-equipped to fulfill the Senior Cloud & API Engineer role for your labor law data platform. My extensive knowledge of Google Cloud Platform (including Cloud SQL, Run, Functions, Scheduler and Logging) makes me an ideal candidate to handle the architecture and integration needs of this project. Having built websites from scratch up to hosting, I assure you I can design and maintain the relational database schemas to store versioned statutory rules and effective dates that the project requires. My deep proficiency with PostgreSQL will ensure efficient and intelligent data retrieval with JSON queries, indexing and CTEs. Pitch cont: Lastly, with a solid background in REST APIs, webhooks, OAuth2, payment gateway webhooks and PHP integration (particularly with WordPress), rest assured I'll be able to integrate your platform seamlessly across different systems whilst maintaining robust security measures via API key authentication et.c. My goal is not only to deliver a scalable labor law data platform but also establish a long-term relationship where I can continue growing and expanding as your needs evolve. Choose me for someone who'll not just meet your expectations but exceed them consistently.

@FreeLancers360

As a seasoned full-stack developer, I have amassed over 4 years of experience in the realm of backend and cloud engineering where I wield tools and technologies that are central to this position. My expertise in Python for web scraping via toolkits like BeautifulSoup and Scrapy will be invaluable for crafting efficient ingestion pipelines for government gazettes on GCP. Furthermore, my knowledge of GCP services such as Cloud SQL, Cloud Run, Cloud Functions and Cloud Scheduler complements the projects' requirements rather well. To solidify my qualifications for this role, I possess deep proficiency in PostgreSQL - a highly sought-after skill for working with complex data that entails schema migrations, crafting efficient search queries, and using JSON fields effectively. This expertise aligns with your need to architect relational databases holding versioned statutory rules, contribution brackets, effective dates et al. Lastly, having built REST APIs with Node.js (Express/Fastify) and Python(FastAPI) while taking into account factors like security (OAuth2), usage metrics (logging), and rate limiting - tells that I've handled similar high-throughput calculation API workloads that you're projecting here. This overall proficiency comes bolstered with my adaptability to different development frameworks thus giving me great dexterity to match the PHP integration/frontend requirements embodied by Wordpress/Core plugins. In short, I'm not just an optimal fit for this job ).

@axmadjondev

Hi, I have 10+ years of full-stack/backend experience and can take ownership of the architecture behind this platform, from statutory data ingestion through secure calculation APIs. I’d structure it around Python ingestion workers on Cloud Run, scheduled monitoring, versioned PostgreSQL/Cloud SQL, and FastAPI/Node.js services behind API Gateway. For statutory data, I would never simply overwrite changed rules. I’d preserve effective dates, historical versions, sources, and citations so every calculation remains reproducible and auditable. I can also handle scraping/change detection, webhooks, payment integrations, WordPress middleware, TidyCal/MailPoet automation, logging, and deployment. Before development, give me a chance to prepare the database schema and complete GCP/API architecture so we establish the right foundation first.

@NEHABHAT92

As a seasoned full-stack engineer, I can confidently say that I have the perfect blend of skills and experience needed for your project. What makes me unique is my hands-on experience with Google Cloud Platform (GCP), including but not limited to Cloud SQL, Cloud Run, Cloud Functions, and more. I have a proven track record of architecting and deploying cloud-native solutions in various languages like Python for web scraping and Node.js for API development. Moreover, my proficiency with PostgreSQL especially stands out which is crucial for your relational database schema design requirements. With advanced knowledge in complex JSON queries, indexing, CTEs (Common Table Expressions), and schema migrations, I am well-prepared to handle the demands of your project's backend and database needs. Lastly, my passion for continuously learning new technologies equipped me with an understanding of REST APIs, OAuth2 integration and payment gateway webhooks which will be highly relevant for your project. In conclusion, I truly believe that hiring me would ensure a powerful amalgamation of expertise in GCP platforms and managing the complex backend architecture your labor law data platform requires. Thanks!

@Tacticssoft

Hi, I’m an experienced Full-Stack Cloud & API Developer and can architect your GCP-based labor law platform with scalable APIs, versioned legal data, and reliable ingestion pipelines. I can design PostgreSQL/Cloud SQL schemas for statutory rules, effective dates, contribution brackets, legal citations, versioning, and historical changes. For ingestion, I can build Python-based Scrapy/BeautifulSoup/Playwright pipelines with Cloud Run, Cloud Functions, and Cloud Scheduler for automated government-portal monitoring. I can develop low-latency REST APIs using FastAPI or Node.js/TypeScript with clean calculation engines, validation, migrations, and maintainable service architecture. On GCP, I’m comfortable working with Cloud Run, Cloud SQL, Cloud Functions, API Gateway, Cloud Logging, IAM, and production deployment workflows. I can implement API authentication, rate limiting, logging, usage monitoring, secure secrets, OAuth2, and webhook-based integrations. I also have experience with PHP/WordPress REST integrations, payment callbacks, scheduling webhooks, and third-party email automation. I’m available to start immediately and would be happy to review the existing requirements and discuss the architecture, milestones, and expected API workload.

@Nikhilch30

Hi, I have 6+ years of full-stack development experience and can architect and build your GCP-based labor law data platform with scalable ingestion pipelines and high-performance APIs. I can handle: * PostgreSQL/Cloud SQL schema design for versioned statutory rules, effective dates, brackets and legal citations * Python Scrapy/BeautifulSoup/Playwright scraping pipelines * Cloud Run, Cloud Functions and Cloud Scheduler for automated ingestion and monitoring * Node.js/TypeScript or FastAPI REST/GraphQL microservices * Stateless calculation engines for labor-law rules * GCP API Gateway with API keys, rate limiting, logging and usage metrics * Advanced PostgreSQL queries, indexing, JSONB, CTEs and migrations * WordPress/PHP REST integrations and webhook handling * Payment callbacks, TidyCal and MailPoet integrations * Secure OAuth2/API authentication, monitoring and error handling * Deployment, testing, documentation and maintainable architecture I’ll structure the system with proper rule versioning and effective-date handling so calculations remain reliable even when legislation changes. The architecture will also be modular so new statutory rules, data sources and APIs can be added easily.

@Chandramouli1m

Hi! Architecting scalable legal-tech data pipelines, versioned statutory calculation engines, and GCP serverless architectures (Cloud Run, Cloud SQL, Cloud Functions) matches my full-stack and backend systems experience. Here is my technical roadmap for your Labor Law & Statutory Platform on GCP: 1. Versioned Relational Schema (Cloud SQL PostgreSQL): • Temporal data modeling with effective date ranges (valid_from, valid_to) to version statutory salary brackets, contribution ceilings (tax, pension, healthcare), and citation links. • Optimized with GIN indexing for JSONB clauses and recursive CTEs for audit trails. 2. Ingestion & Scraper Pipeline: • Python (Playwright / Scrapy) crawlers containerized on Cloud Run / Cloud Functions triggered via Cloud Scheduler. • Change detection (hash comparisons & diffing) across official gazettes and department orders, pushing change alerts and archiving PDFs. 3. Low-Latency Calculation APIs & Gateway: • Stateless FastAPI / Node.js microservices hosted on Google Cloud Run with auto-scaling to zero. • Google Cloud API Gateway managing consumer API keys, rate-limiting quotas, Cloud Logging, and usage metrics for B2B API monetization. 4. WordPress, Webhooks & Automation Middleware: • Custom PHP REST hooks and Cloud Functions bridging payment callbacks, TidyCal booking events, and automated MailPoet subscriber synchronizations. Bid: ₹25,000 INR | Delivery: 7 Days. Ready to discuss schema design and gazette targets!

@Jafferi12

The core of a statutory engine is answering with the rule that was in force on the date asked, not the newest one. A DOLE wage order effective on the 15th must return different results for the 14th and the 16th, and last year's payslips have to recompute exactly the same. So every rule row in Cloud SQL carries effective-from/to dates plus its citation, and every calc endpoint takes a date. Gazettes are often scanned PDFs and portal layouts change without warning, so the Cloud Run scrapers flag diffs for review instead of publishing new rules automatically. Python scrapers on Cloud Run + Cloud Scheduler, FastAPI or Node calc service behind API Gateway. Which rules do you want live first?

@alfatrade2

I have experience building government procurement parsers using Playwright with anti-bot protection bypass and a two-stage AI classification pipeline. I have developed REST APIs on FastAPI and Node.js for data aggregation platforms with integration of external providers via SOAP and REST. I am ready to implement fault-tolerant scrapers for monitoring government portals and high-load calculation microservices. What are the priority data sources that require parsing first?