Cloud Engineer for SaaS & IoT MVP

@Microlent

EraConnect. Putting together an MQTT-based telemetry ingestion layer on AWS requires a careful balance between handled services and cost control to avoid the overengineering trap. We recently built a Python deterministic scoring engine to handle high-accuracy data processing for complex decision logic, which mirrors the reliability needed for your IoT backend: https://www.freelancer.com/portfolio-items/11337466-python-deterministic-scoring-engine I strongly recommend ECS Fargate for your MVP because it removes the operational headache of managing EC2 instances or the massive configuration overhead of Kubernetes. It scales per-service rather than per-node, making it perfect for your Dockerized backend and background workers without paying for idle capacity. For the IoT side, AWS IoT Core handles the MQTT broker heavy lifting and pipes data directly into your Fargate services or RDS with minimal glue code. I estimate this setup will take about 60 to 80 hours over 3 weeks. Week 1 covers the VPC and Terraform foundation. Week 2 focuses on ECS deployments and GitHub Actions for CI/CD. Week 3 finalizes CloudWatch monitoring and the LoRaWAN integration review. I can put together a quick Terraform-based IaC repository for free so you can see the approach first. ~ Rajesh

@DeveloperStation

Hi there, We’ve built several multi-tenant SaaS products with IoT capabilities, including a solution that integrated with LoRaWAN devices for real-time telemetry. We understand the importance of a strong DevOps foundation for MVPs, and we can help you establish a secure, scalable, and cost-effective environment. As a team, we have extensive experience with AWS services like EC2, Lambda, RDS, and more, along with CI/CD tools such as GitHub Actions and Jenkins. We also have dedicated resources for front-end and back-end development, ensuring that you get a fully optimized product instead of a partially developed one. Let’s schedule a 10-minute introductory call to discuss your project in more detail and see if I’m the right fit for your needs. I’m looking forward to hearing more about your exciting project. Best, Adil

@skalogir

EraConnect Hi there, I understand you need an AWS DevOps engineer to establish a pragmatic cloud foundation for a multi-tenant SaaS + IoT MVP, covering AWS architecture review, ECS Fargate deployment, PostgreSQL, MQTT telemetry ingestion, Terraform IaC, GitHub Actions CI/CD, monitoring, security, and operational readiness. I have strong experience with AWS, ECS Fargate, Docker, RDS PostgreSQL, Terraform, GitHub Actions, CloudWatch, SaaS infrastructure, multi-environment deployments, and IoT-oriented systems where simplicity, cost control, and maintainability are critical. I would recommend ECS Fargate for this MVP because it minimizes operational overhead while providing secure, scalable container orchestration, and I will deliver isolated environments, automated deployments, monitoring, logging, backup strategies, security baselines, documentation, and knowledge transfer without introducing unnecessary complexity. Q1: What is the estimated telemetry volume (devices, messages/sec, and data retention requirements)? Q2: Will MQTT be hosted directly on AWS (e.g., IoT Core) or through a dedicated broker? Q3: Do you already have AWS accounts/environments created, or should the setup start from a completely clean AWS organization? Best regards

@dfordesigners

"EraConnect, I specialize in AWS DevOps and have successfully completed similar SaaS projects with IoT integrations. My approach prioritizes simplicity, security, and scalability without unnecessary complexity. I recommend ECS Fargate for efficient container deployment. My expertise includes Docker, PostgreSQL, CI/CD pipelines, and Terraform. I focus on practical solutions that align with your cost-conscious architecture preferences. Let's discuss how I can help establish a reliable cloud foundation for your MVP."

@kumarashish99

EraConnect, it's a pleasure to meet you and I appreciate your thorough and comprehensive project description. As an AWS-certified professional with 5+ years of expertise in backend development and DevOps engineering, I'm confident I possess the skillset crucial for your project's success. My experience includes not just building cloud infrastructure but also dealing with demanding situations such as multi-tenant SaaS development, which aligns perfectly with your requirements. Lastly, my experience goes beyond infrastructure setup; as a Kubernetes specialist, I understand the technology even though you’d prefer to avoid it unless strongly justified. As a skilled communicator, I'll ensure smooth knowledge transfer through comprehensive documentation and runbooks. Together, we can build an AWS-backed SaaS+IoT MVP that’s simple, reliable, secure and scalable - exactly what you're looking for. I look forward to discussing further details and demonstrating more extensively why I’m the right fit for this project.

@shadabkhan92

EraConnect, we are a team of highly skilled professionals with extensive experience in the areas you require for your SaaS+IoT platform. I personally have a deep understanding of AWS and Docker, matched with a keen eye for cost-effective solutions. That being said, I believe your aversion to overengineering sincerely aligns with our values at EraConnect. Through our proven track record in similar projects, we've successfully provided pragmatic and reliable infrastructure solutions in various cloud environments. Looking into your project's scope, the deployment and management of containerized workloads is one of our strong-suits, making ECS Fargate an ideal choice. We're adept at leveraging the full power of AWS services like IAM roles and networking/security groups to ensure utmost security for your platform and its tenants while maintaining simplicity. Additionally, our proficiency in CI/CD pipelines using Terraform and GitHub Actions along with considerable expertise working with PostgreSQL can provide you the automated deployments and robust database setup you seek. Since multi-tenant SaaS architecture is not new to us, we understand the need for smooth operational readiness and comprehensive monitoring that keeps all aspects secure and reliable. We deliver infrastructure-as-code setup that ensures continuity and facilitation of any future requirements.

@intelliresponse

EraConnect ❤️ Hello ❤️, I carefully reviewed your requirements and understand you need an AWS DevOps partner to build a clean, secure, cost-conscious MVP foundation for a multi-tenant SaaS + IoT platform without unnecessary overengineering. ⚙️ I have experience with AWS infrastructure, Docker, ECS Fargate, RDS PostgreSQL, Terraform, GitHub Actions, CI/CD, CloudWatch, secrets management, and scalable SaaS deployments. ✅ My recommended MVP approach: • Separate dev, staging, and production environments • VPC, IAM, security groups, SSL/TLS, and environment isolation • ECS Fargate for containerized APIs, workers, and telemetry services • RDS PostgreSQL with backups and retention strategy • S3 where appropriate for storage/log artifacts • Terraform-based IaC and GitHub Actions deployment pipeline • CloudWatch logging, dashboards, alerts, and runbook documentation ? I would choose ECS Fargate because it is simpler than EKS, cost-effective for an MVP, secure, scalable, and easier to operate with minimal infrastructure overhead. Best regards, Steven

@anayapallavi

EraConnect Hi, I can help build a secure, cost-effective AWS foundation for your SaaS + IoT MVP using ECS Fargate, RDS PostgreSQL, Terraform, and GitHub Actions. Key Deliverables: • Dev, Staging & Production environments • ECS Fargate deployment setup • RDS, S3, IAM, VPC & Secrets Manager configuration • CI/CD pipelines with Terraform + GitHub Actions • CloudWatch monitoring, alerts & logging • Security hardening and documentation Why Fargate? It provides the best balance of simplicity, reliability, and scalability for an MVP without the operational overhead of Kubernetes. Timeline: 1–2 weeks Experience: AWS SaaS infrastructure, Docker, ECS/Fargate, Terraform, CI/CD, multi-tenant applications. — Pallvi Gupta

@BhavinOndhiya

EraConnect Your approach of keeping the MVP simple, secure, and cost-conscious aligns well with how I typically set up AWS environments. I have hands-on experience with AWS, Docker, ECS/Fargate, PostgreSQL, GitHub Actions, CI/CD pipelines, infrastructure automation, monitoring, and production deployments for SaaS applications. For this use case, I would lean toward ECS Fargate rather than Kubernetes/EKS. It provides the scalability and operational simplicity needed for an MVP while avoiding the additional management overhead and costs associated with EKS. Combined with Terraform, RDS PostgreSQL, CloudWatch, S3, and GitHub Actions, it creates a solid foundation that can scale as the platform grows. While I don't have direct LoRaWAN experience, I am comfortable working with cloud infrastructure that supports MQTT-based services and integrating backend systems with external services and APIs. I'd be happy to discuss the architecture and provide a more detailed effort estimate after reviewing the current design.

@Zawiya3

I am excited to apply for your Cloud Engineer role to help build and scale your SaaS and IoT MVP. With experience in cloud architecture, infrastructure automation, and IoT platform integration, I can design a secure, reliable, and cost-effective environment that supports both your current MVP requirements and future growth. My focus is on creating a strong technical foundation that enables rapid development and seamless deployment. I can assist with cloud infrastructure setup, containerization, CI/CD pipelines, API integration, database management, device connectivity, and monitoring solutions across platforms such as AWS, Azure, or Google Cloud. Whether your IoT devices communicate through MQTT, REST APIs, or other protocols, I can implement scalable data ingestion and processing workflows while ensuring security, performance, and high availability throughout the system. Beyond technical implementation, I prioritize collaboration, documentation, and long-term maintainability. I will work closely with your team to understand business objectives, optimize cloud costs, and establish best practices for deployment and operations. I look forward to helping transform your SaaS and IoT concept into a robust MVP that is ready for testing, validation, and future expansion.

@cybexsoftadmin

EraConnect Hi, I have 15+ years of experience designing AWS cloud platforms, SaaS infrastructure, DevOps automation, and containerized workloads. For this MVP, I agree with your approach: ECS Fargate + RDS PostgreSQL + Terraform + GitHub Actions provides the right balance of simplicity, security, cost efficiency, and scalability without the operational overhead of Kubernetes. I can help with: • Architecture review and AWS best-practice recommendations • Dev, Staging, and Production environments • VPC, IAM, networking, security groups, SSL, and secrets management • ECS Fargate deployment for APIs, workers, and telemetry services • PostgreSQL RDS setup, backups, and storage strategy • Terraform-based Infrastructure as Code • GitHub Actions CI/CD with rollback capabilities • CloudWatch monitoring, logging, dashboards, and alerting • Security hardening, operational runbooks, and knowledge transfer I have experience with SaaS platforms, multi-tenant architectures, containerized applications, MQTT-based systems, and production AWS environments. Estimated Effort: 40–60 hours Timeline: 1–2 weeks depending on application readiness and integration requirements. My recommendation is to avoid EKS at this stage and keep the MVP lean with ECS Fargate, while designing the infrastructure so future migration remains straightforward if scale demands it. Available to start immediately.

@Jaydeep365

EraConnect I have 9+ years of experience with AWS, Docker, Terraform, PostgreSQL, CI/CD, and SaaS platform architecture. Relevant skills: *AWS (ECS Fargate, RDS, VPC, IAM, S3, CloudWatch) *Docker & Containerized Deployments *Terraform (IaC) *GitHub Actions CI/CD *PostgreSQL *Multi-Tenant SaaS Architecture *Monitoring, Logging & Security My approach: *ECS Fargate for a simple, scalable, low-maintenance MVP. *Terraform-managed infrastructure for Dev, Staging, and Production. *Automated CI/CD with GitHub Actions. *RDS PostgreSQL with backup strategy. *CloudWatch monitoring, alerts, and security best practices. *Focus on simplicity, reliability, security, and cost optimization—no unnecessary overengineering. Let's discuss your current architecture. I can review the setup and help establish a clean, production-ready AWS foundation. Thanks, JB

@osamak74

EraConnect , this is exactly the kind of MVP foundation work I like taking on. You already have the product direction and backend moving, so the key now is building something clean, secure, and easy to operate without adding unnecessary complexity. I’ve worked on SaaS-style platforms, API backends, database setups, and deployment pipelines, and I’m comfortable putting the pieces together in a way that supports a real team, not just a demo. For this kind of build, I’d lean toward Docker on ECS Fargate, RDS PostgreSQL, and Terraform for repeatable environments. It keeps ops simple, fits an MVP well, and gives you room to grow without jumping into EKS too early. I can help with the AWS environment split, IAM, networking, secrets, CI/CD via GitHub Actions, and the monitoring/logging basics you’ll want before launch. I also keep an eye on cost and avoid overengineering where it doesn’t help. If helpful, I can outline the MVP architecture and the rollout plan in a way your team can use right away. Osama

@temoberishvili

Hi there, I see you're looking for a Cloud Engineer for your SaaS and IoT MVP. With your focus on AWS and utilizing tools like Docker and Terraform, I can help streamline your cloud infrastructure and CI/CD processes. Implementing a microservices architecture could enhance scalability, especially with the data handling required for IoT. I have experience managing PostgreSQL databases, which would be essential for your application. I'd start by setting up your AWS environment, followed by configuring Docker for your services and establishing CI/CD pipelines. Q1: What specific AWS services do you plan to use for the MVP? Q2: Are there any performance benchmarks or scalability requirements you have in mind for the IoT components? Q3: What is your expected timeline for the initial MVP launch? Let’s make this happen.

@sekai1116

"EraConnect, I've covered quite a lot of terrain in the tech ecosystem throughout my career, and I'm more than game for building your AWS-based SaaS + IoT MVP. In line with your preference, I value simplicity, reliability, and cost-optimization. I have hands-on experience in AWS DevOps and Cloud Infrastructure Engineering, including critical aspects such as deploying containerized workloads (using Docker and ECS Fargate), setting up databases (PostgreSQL), establishing CI/CD pipelines (preferably with Terraform and GitHub Actions), as well as implementing monitoring and security measures." "As an added bonus, my experience extends to MQTT protocols in building IoT platforms plus leveraging LoRaWAN for telemetry systems. On the software side, I'm proficient with PostgreSQL as well, which you're specifically seeking for storage and log retention. Let rest usage goes unnecessarily complex when there's a more straightforward approach available. "To put it simply; this isn't my first rodeo. My portfolio contains similar AWS SaaS projects I've successfully completed in the past. Despite tackling those potentially-complex tasks that usually surround SaaS operations (including multi-tenancy), my Sagely approach makes sure that at no time does unnecessary expenditure come up or lead to over-engineering. I can guarantee a production-ready product built on clean architecture, secure and reliable foundation on a reasonable timeline without overlooking quality to meet your MVP needs."

@HamparProd

Hi, I can help set up the AWS DevOps foundation for your multi-tenant SaaS + IoT MVP with a simple, secure, and cost-conscious architecture. My recommended approach would be Terraform-managed AWS infrastructure with separate dev, staging, and production environments, using VPC networking, private subnets, IAM roles, security groups, Secrets Manager or SSM Parameter Store, ACM SSL, ECS Fargate for containerized services, RDS PostgreSQL, S3 where needed, and CloudWatch logging/monitoring. For telemetry ingestion, I can help define a clean MQTT path for device/LoRaWAN data into backend services, keeping the MVP flexible without adding unnecessary enterprise complexity. I can also configure GitHub Actions for automated deployments, environment promotion, rollback-friendly releases, and clear deployment documentation. For monitoring and security, I would set up CloudWatch logs, dashboards, alerts, backup policies, basic health checks, IAM least privilege, environment isolation, and a runbook your team can follow. I have experience with AWS, Docker, ECS/Fargate, PostgreSQL/RDS, Terraform, GitHub Actions, CI/CD, SaaS infrastructure, secure deployments, and telemetry-style backend systems.

@adnanmalik756

Hey, EraConnect! I see you're looking to build a solid AWS-based MVP for your multi-tenant SaaS and IoT platform. It sounds like you need a reliable DevOps partner who can set up a clean, secure, and scalable cloud environment without unnecessary complexity. With 7+ years of experience in AWS and cloud infrastructure, I can help you establish the foundation you need while keeping things straightforward. My approach would start with reviewing your current architecture to suggest practical improvements, followed by setting up your AWS environments, deploying containerized workloads, and implementing a CI/CD pipeline. I’ve worked on similar projects, ensuring cost optimization and security, and I understand the balance between functionality and simplicity. One thing I’d love to know: how do you envision the monitoring and alerting system working for your IoT components?

@mughiraaa

“EraConnect” Hello, Your approach of keeping the MVP simple, secure, and cost conscious is exactly how I prefer to work. I have experience setting up AWS environments for SaaS platforms, including container deployments, PostgreSQL infrastructure, deployment automation, monitoring, security controls, and infrastructure as code. Based on your requirements, ECS Fargate is a strong option for an MVP because it reduces operational overhead while providing room for growth. I also have experience working with telemetry driven systems and integrating cloud services that require dependable data ingestion and monitoring. I would love to schedule a discussion to review your current architecture and project goals. I am confident I can help establish a clean cloud foundation that supports both the SaaS and IoT components while keeping complexity under control. I will share my portfolio in chat I look forward to hear from you. Thanks Best Regards, Mughira

@johnedwardl

EraConnect I will establish a robust AWS foundation for your multi-tenant SaaS + IoT MVP, focusing on simplicity, security, and scalability. With extensive experience in AWS, Docker, and CI/CD pipelines, I have successfully delivered similar projects, ensuring reliable and efficient deployments. My approach includes an architecture review to optimize your current setup, followed by the creation of development, staging, and production environments. I will implement Terraform for infrastructure as code, enabling repeatable and minimal-downtime deployments using GitHub Actions. Setting up PostgreSQL and a secure storage strategy will also be prioritized. I recommend ECS Fargate for its serverless benefits, allowing you to focus on development without managing infrastructure. However, I am open to discussing alternatives if they provide clear advantages. Could you clarify your preferred timeline for the MVP launch? Additionally, are there specific monitoring tools you want to integrate with CloudWatch? Let’s connect to ensure we align on the best architecture and get this project off the ground efficiently. Thank you.