Backend Architect for Healthcare Platform

@vishal1145

Your wearable data pipeline will fail under load if you're processing real-time vitals without a message queue between device ingestion and MongoDB writes. I've seen this exact pattern cause data loss when 500+ devices send concurrent heartbeats. Before architecting the solution, I need clarity on two things: What's your expected device-to-patient ratio at launch (100 devices or 10,000)? And does your hospital integration need HL7 FHIR compliance for EHR systems like Epic or Cerner? Here's the architectural approach: - FASTAPI + ASYNC: Build non-blocking endpoints with background tasks to handle device streams without blocking hospital API calls, ensuring sub-100ms response times. - MONGODB SHARDING: Design collections with device_id indexing and time-series optimization to query 30 days of vitals in under 500ms. - AWS LAMBDA + SQS: Decouple device ingestion from processing using event-driven architecture that auto-scales during peak hours without provisioning EC2 instances. - ELASTICSEARCH: Index processed health metrics for real-time dashboards and anomaly detection queries that MongoDB can't handle efficiently. - DOCKER + ECS: Containerize services with health checks and auto-restart policies to maintain 99.9% uptime for hospital-critical integrations. I've built 3 IoT healthcare platforms that processed 2M+ data points daily, including a remote patient monitoring system that integrated with Epic's FHIR API. I don't take on projects where HIPAA compliance isn't clearly scoped. Let's schedule a 20-minute call to discuss encryption requirements and failure scenarios before committing to architecture.

@SmartCodeDev

Hello, Experienced backend engineer with strong expertise in Python, FastAPI, MongoDB, AWS, Docker, and scalable API architecture I can take ownership of the backend platform, including wearable data ingestion, payload processing, device patient mapping, hospital integrations, authentication, and production deployment Strong experience building real time systems, cloud native services, REST APIs, database design, and secure healthcare oriented platforms The solution will be delivered with clean architecture, comprehensive documentation, monitoring, and maintainable deployment workflows Available for immediate start and long term collaboration with clear communication and structured delivery milestones.

@santoshkumars17

With over 5 years of professional experience in full-stack development, I'm confident that I can be the architect for your cutting-edge healthcare platform. My proficiencies in Python, FastAPI, REST API, MongoDB, and AWS align perfectly with your project's requirements. Not only have I created production-ready REST APIs with scalable architecture and integrated complex systems seamlessly - including IoT integrations and real-time data ingestion - but I also have a solid understanding of healthcare data platforms that will be beneficial in decoding and processing the streams from your wearable devices. Moreover, my ability to manage databases efficiently and deploy/maintain AWS infrastructure accurately echoes your need for stable backend services. With me onboard as your Backend Architect, you can rest assured that your platform will have robust and secure API integrations with the hospital systems while ensuring high-quality deliverables within stipulated timeframes.

@nexvative

Hi, I’m very interested in the Stealthera backend engineering role. I have strong experience building scalable Python backend systems with FastAPI, MongoDB, AWS, Docker, and API integrations, including real-time and IoT-style data pipelines. My relevant experience includes: • FastAPI microservices and REST API development • Real-time data ingestion and processing pipelines • MongoDB schema design and optimization • AWS deployments (EC2, Lambda, ECS, S3, API Gateway, CloudWatch) • Dockerized production environments • Authentication, RBAC, and secure API design • Integration with third-party devices, webhooks, and external systems • Healthcare-adjacent data handling and structured telemetry systems For your project, I can take ownership of: ✔ Wearable data ingestion pipeline ✔ Device-to-patient mapping logic ✔ Payload decoding and normalization ✔ Scalable hospital-facing APIs ✔ MongoDB data architecture ✔ AWS deployment and monitoring ✔ Dashboard APIs and supporting backend services ✔ Security, authentication, and production documentation I focus on building clean, maintainable systems with strong logging, validation, and deployment automation so the platform can scale reliably as device volume grows. Availability: Immediate start, full remote collaboration, and committed delivery within your 30-day target window.

@bhavanim08

Hello, Your project combines backend engineering, API architecture, data processing, and cloud deployment, which aligns closely with my experience in Python-based systems, API integrations, backend development, and data-driven applications. I can assist with designing and implementing scalable backend services that support device data ingestion, processing pipelines, authentication, dashboard APIs, and hospital-facing integrations. I can help with: ✔ FastAPI Backend Development ✔ REST API Design ✔ MongoDB Database Management ✔ Authentication & Access Control ✔ Data Processing Pipelines ✔ Dashboard APIs ✔ Docker-Based Deployment ✔ AWS Infrastructure Support ✔ API Documentation ✔ GitHub Workflow Management My experience includes backend development, API integrations, workflow automation, dashboard systems, and scalable application design. For projects like this, I focus on building reliable ingestion workflows, clean API architecture, maintainable code structure, and documentation that supports future growth and integrations. Could you share whether the wearable devices already provide documented APIs/payload formats and whether AWS infrastructure has already been provisioned? Best Regards, Bhavani M

@zeeshanmcp12

I understand the need for a skilled engineer to take charge of the backend architecture and integrations for Stealthera's wearable healthcare platform. My approach involves building and maintaining FastAPI backend services, integrating wearable device data streams, managing MongoDB databases, and deploying AWS infrastructure. With a track record of successful AWS deployments for healthcare platforms, including real-time systems and IoT integrations, I am confident in delivering stable ingestion pipelines, hospital-facing APIs, and production deployments within the specified timeframe. Thank you.

@webnsoftindia

Hello, I am an experienced Backend Architect with 10+ years of experience designing secure, scalable, and high-performance web platforms. I can help architect and develop your healthcare platform with a strong focus on security, compliance, reliability, and future scalability. My expertise includes: Microservices & API Architecture Node.js, PHP/Laravel, Python, and Java-based backends PostgreSQL, MySQL, MongoDB, and Redis Cloud Infrastructure (AWS, Azure, GCP) HIPAA-conscious security practices, authentication, and data protection Third-party integrations, EHR/EMR systems, payment gateways, and reporting tools I can design a robust backend architecture, optimize database performance, implement secure APIs, and establish deployment pipelines that support long-term growth. I would be happy to discuss your requirements and recommend the best technical approach for your healthcare platform. Looking forward to connecting. Best Regards, web n soft solution

@Srashtasoft

Hi there, I have read your project requirements. You need a backend engineer to take ownership of Stealthera’s healthcare wearable platform, focusing on FastAPI-based services, real-time wearable data ingestion, MongoDB architecture, AWS deployment, and hospital-grade API integrations with strong emphasis on scalability, security, and production readiness. We can develop a robust backend system using FastAPI with modular service architecture to handle IoT wearable data streams, payload decoding, device-to-patient mapping, and real-time processing pipelines. The solution will include secure REST APIs for hospital integrations, authentication and access control layers, MongoDB schema design for high-volume time-series health data, Dockerized deployment, and AWS infrastructure setup for scalable and reliable production performance. We will also ensure clean documentation and maintainable code structure for long-term extensibility. I have a few questions related to your requirement: ========================================= What type of wearable devices and data formats are currently being used? Do you already have an AWS architecture in place, or should we design it from scratch? What is the expected data ingestion rate? Are there any healthcare compliance requirements that must be followed? We are available for an immediate start and can align the delivery within your 30-day timeline with a clear milestone-based execution plan. Best Regards, SrashtaSoft Team

@Hrolgar

4G wearables drop and reconnect constantly, which means your ingestion layer will see duplicate device events from the same device within seconds of each other. If idempotency isn't baked into the write path from day one, hospitals end up with phantom readings or missed alerts. The architecture I'd build: FastAPI ingestion endpoints that accept device payloads with an idempotency key (device ID + sequence number or hardware timestamp), writing telemetry into MongoDB time-series collections with TTL indexes for data retention and efficient range queries. Elasticsearch sits downstream as the hospital-facing query and alerting layer, fed asynchronously from MongoDB so a spike in hospital queries doesn't back up the ingestion pipeline. AWS deployment via Docker on ECS Fargate or EC2 with an ALB in front, depending on your scaling target. REST API scaffold covers device registration and auth, telemetry ingestion with idempotent handling, a hospital-facing read and search API backed by Elasticsearch, and a basic device management admin layer. Deliverable: full architecture design document, REST API scaffold (FastAPI), Dockerized stack deployed to AWS with Elasticsearch wired up, and endpoint documentation. 35,000 INR, 7 days. Before I start: are hospitals querying data on demand via REST polling, or do you need real-time push to hospital dashboards (WebSocket or SSE)? That changes the Elasticsearch query design.

@NEHABHAT92

With over 9+ years in web and mobile development, I've honed my engineering skills to a sharp edge, wie th command of numerous programming tools that I deliver quality work with. My proficiency in Python will serve as a strong foundation for this backend architecture project, combined with my experience working with FastAPI to build and maintain backend services, integrating wearables device data streams and managing MongoDB databases are all excellent fits for your healthcare platform. Moreover, I have solid experience in AWS deployment and management as well as designing scalable APIs, which also involve the IoT integrations you prefer. The inclusion of MongoDB also falls within my wheelhouse; I’ve done several similar backend works like the one seeking stable ingestion pipelines, device-patient mapping, processed health database and ASW deployments. Choosing me for this project not only guarantees you a deep understanding of what your project needs but also a full commitment to bringing your ideas to reality. My positive attitude and ability to take ownership of complex tasks mean that you can trust me to handle this important assignment effectively. Additionally,due on my availability,I can start immediately-ensuring seamless communication+frequent updates throughout the process. Thank you .

@serviceaxisgroup

Hi, I can help with a production-ready backend for your wearable healthcare platform that ingests 4G device streams, maps devices to patients, and exposes hospital-facing APIs. I’ll start by reviewing your current FastAPI/MongoDB/AWS setup and the payload formats, then draft the ingestion + decoding pipeline and API contracts for quick alignment. I’ll reduce risk with incremental milestones, automated validation of decoded payloads, and clear docs for review. Which wearable payload schema(s) are you currently using, and what auth/access model do hospitals require? If you share that plus your preferred AWS deployment shape, we can start immediately.

@WiredAI

Hi, I reviewed your requirements and have experience building Python/FastAPI backends, REST APIs, MongoDB applications, and AWS deployments for AI and data-driven platforms. I've worked on scalable backend systems that process real-time data, integrate third-party services, and expose secure APIs. I can take ownership of the backend architecture, build a reliable ingestion pipeline, implement device-patient mapping, and deliver production-ready APIs with proper documentation. I'm comfortable with Docker, GitHub workflows, and cloud deployments. Available to start immediately and happy to discuss your technical requirements. Best regards, WiredAI Ventures

@souvikbasu

Hi, I'm a Python backend developer with experience building FastAPI services, MongoDB integrations, and AWS deployments — your Stealthera wearable platform stack matches exactly what I've worked with. My approach: • Design and build scalable FastAPI microservices to ingest, decode, and process real-time data streams from 4G health wearables • Architect MongoDB schemas optimised for time-series health data with efficient querying for hospital integrations • Build secure REST APIs for hospital system integrations with role-based authentication and access control (JWT/OAuth2) • Deploy and maintain infrastructure on AWS (EC2, Lambda, or ECS) with Docker containerisation and CI/CD via GitHub Actions • Build dashboard APIs to surface real-time wearable metrics for clinical and operational views • Deliver production-ready documentation and clean, maintainable codebase I have IoT and real-time data pipeline experience and can take full ownership of the backend. Ready to start immediately.

@JoseRCarvas

Python/FastAPI is my daily stack. Plan for your 30-day scope: W1 Ingestion: FastAPI service receiving wearable payloads (HTTP or MQTT over 4G), versioned payload decoders per device firmware, raw + decoded MongoDB collections with schema validation. W2 Mapping: device-patient registry with assignment history (so re-issued devices never mix patient data); time-series vitals collections with rollups for fast queries. W3 Hospital APIs: REST with OAuth2/JWT, per-hospital scoping and rate limits, OpenAPI docs, dashboard aggregation endpoints. W4 Deployment: Dockerized on your AWS (ECS or EC2 + compose), GitHub Actions CI, health checks, structured logging, runbook + handover docs. Healthcare data: encryption in transit/at rest and audit logging from day one — retrofitting compliance costs far more. Questions: which wearable models/protocols come first (that decides the decoder work)? Is the AWS account already provisioned, or do I set it up from zero? My recent work sits in private client repos, so instead of links: take W1 as the first funded milestone and judge the actual code and architecture before committing to the rest. Available now, full-time, Portugal (UTC+1). All communication via Freelancer chat, fast responses.

@manishcomp123

I'm excited to submit my proposal for the Backend Architect role at Stealthera. As a seasoned engineer with expertise in designing and deploying scalable, high-performance APIs, I'm confident in my ability to drive the development of your wearable healthcare platform. With a strong background in Python and FastAPI, I'll build and maintain robust backend services that seamlessly integrate wearable device data streams and hospital systems. I'll design RESTful APIs that are secure, efficient, and easy to consume, leveraging MongoDB databases and AWS infrastructure to ensure scalability and reliability. I've successfully deployed similar projects in the past, and I'm eager to bring my expertise to Stealthera. I'd love to discuss how my skills align with your vision and explore the project's technical requirements in more detail. Best regards, Manish S. What specific IoT integration requirements do you envision for this project, and how do you see them fitting into the overall backend architecture?

@rishis0725

I am an experienced Full Stack Developer with 8+ years of professional experience in designing, developing, and maintaining scalable web and mobile applications. My technical expertise includes: ✅ Backend Development: PHP, Laravel, Python, Node.js ✅ Frontend Development: React.js, JavaScript, HTML5, CSS3, Bootstrap ✅ Mobile App Development: Flutter (Android & iOS) ✅ Databases: MySQL, MongoDB ✅ API Development & Integration: REST APIs, Third-Party APIs, Payment Gateways ✅ Cloud & Deployment: VPS, Linux Servers, AWS, DigitalOcean, cPanel

@shubhankar1967

Hi, I am an IITian with 10+ years of experience to develop similar projects ,I will architect the platform using FastAPI with async/await for device data ingestion via WebSockets or MQTT, decode binary payloads with struct/protobuf, and store telemetry in MongoDB with time-series collections. APIs will use OAuth2 + JWT (python-jose) for hospital SSO, HL7 FHIR-compliant endpoints for EHR integration, background tasks with Celery + Redis for payload processing, and deploy on AWS ECS Fargate with ALB, RDS for relational auth data, and CloudWatch monitoring. Kindly click on the chat button so I can share you my relavant projects. Lets connect

@Chandramouli1m

Hi there, I can take immediate ownership of Stealthera's backend architecture, building a high-throughput FastAPI ingestion pipeline and scalable MongoDB layer to process your 4G wearable data streams cleanly within an aggressive 5-day delivery sprint. As a Backend Lead experienced in engineering secure real-time pipelines and strict Role-Based Access Control (RBAC) matrices, I am fully equipped to deliver this medical-grade deployment rapidly. My 5-Day Agile Technical Blueprint for Stealthera: 1. Resilient Ingestion & Decoding: I will build high-concurrency FastAPI routes to ingest continuous 4G data packets, implementing strict schema validation filters to process and map telemetry streams smoothly. 2. Scalable NoSQL Schema Design: I will structure an optimized MongoDB model for device-to-patient mapping, storing historical health metrics with proper indexing for rapid time-series queries. 3. Hospital-Facing REST APIs & RBAC: I will architect secure endpoints for hospital system integrations protected by strict authentication layers and granular access controls. 4. Containerized AWS Infrastructure: I will package the service architecture using Docker and set up a stable deployment pipeline on AWS compute environments. I maintain an available, immediate remote schedule, write production-ready documentation, and keep a tidy system backup trail. Let’s connect to review your payload specifications and start day one! Warm regards, Chandra

@sugamkumar27

Hello, I'm currently working on two healthcare-related platforms, one delivered and one in active development, involving patient management, API integrations, secure data handling, cloud deployment, and scalable backend architecture. I'm new on Freelancer, but I have strong experience with Python, FastAPI, MongoDB, AWS, Docker, and API-driven systems. What stood out to me is the complete ingestion-to-integration workflow: wearable data collection, payload processing, device-patient mapping, real-time data storage, and exposing secure hospital-facing APIs. This requires a solid architecture from day one rather than just API development. I can help design a scalable FastAPI backend, secure authentication layer, ingestion pipeline, MongoDB schema, AWS deployment strategy, and production-ready documentation. Available for immediate start and long-term collaboration if required. Regards, Sugam