DevOps Engineer Needed for Kubernetes/K3s Production Deployment of Full-Stack AI Real Estate Platform -- 2

@talhamq

As a seasoned DevOps engineer with 7+ years of comprehensive experience, I have successfully deployed and maintained numerous complex cloud infrastructures encompassing various services like Kubernetes and K3s deployments, Docker multi-service deployments, CI/CD using Helm and GitHub Actions, Linux server hardening, SSH key-only access, MongoDB StatefulSets and backups, Redis cache integration and secure environment configuration. My in-depth knowledge in managing Node.js and Python services, along with FastAPI and Express deployment experience renders me capable to handle your full-stack real estate platform efficiently. o this together right!

@KatrinaQ

Hi, I’m a senior DevOps engineer with 20+ years of experience deploying production-grade Kubernetes systems, including K3s single-node clusters and cloud migrations, with 1,500+ completed projects and a 5-star track record. I'll review your Helm charts, Dockerfiles, and GitHub Actions workflows, then set up a secure K3s cluster on your VPS with ingress-nginx, cert-manager, and metrics-server, hardening the firewall and API access. I’ll deploy all services as Kubernetes StatefulSets/Deployments with proper resource limits, probes, secrets, and internal networking, including MongoDB, Redis, and ChromaDB with persistent storage, while ensuring no public exposure of internal services. The GitHub Actions pipeline will use immutable image tags and production approval gates, with secrets managed via GitHub Actions secrets and Kubernetes Secrets—no hardcoded values. I’ll configure TLS certificates, MongoDB backups, and rollback procedures, then validate all endpoints before handing over runbooks and monitoring setups. I can start immediately after reviewing the repository and documentation.

@ambientinfotech

Hello, I hope you are doing well. With 8 years of experience as a Server Administrator, I have extensive knowledge of various server technologies, troubleshooting techniques, and performance optimization. I can analyze and resolve any server-related issues efficiently based on your requirements. Please feel free to reach out if you have any queries or need assistance with server management. I’d be happy to help. Best regards,

@gotucat

Hi, I reviewed the project and the main requirement is to deliver a production-ready Kubernetes/K3s deployment path on a VPS for the full-stack AI real estate platform, including MongoDB, Redis, and AI services. I’ll implement this by refining Docker-based multi-service deployments on the VPS, normalizing Helm charts for a KSA production setup, and configuring ingress-nginx, cert-manager, and metrics-server. I’ll create secure Kubernetes Secrets, value files for VPS deployment, and a robust CI/CD flow with immutable tags. I’ll set up a StatefulSet for MongoDB, Redis as internal cache, and TLS via cert-manager, plus scheduled backups and web-portal health checks. You’ll get clear rollback commands, handover notes, monitoring, and a clean, repeatable process with easy management and fast incident response. Let’s discuss here now.

@bishoyabdo

I have worked as a DevOps engineer and I worked in most of the above mentioned tools and capabilities using all CICD and kubernetes I am 13 years experience

@ZohaibRoy

⭐⭐⭐⭐⭐ Senior DevOps Engineer for Kubernetes and Cloud Migration ❇️ Hi My Friend, I hope you are doing well. I just reviewed your project requirements and see you are looking for a senior DevOps engineer. You have no need to look any further; Zohaib is here to help you! My team has successfully completed 50+ similar projects for DevOps solutions. I will review your codebase, validate your implementation, and create a production-ready deployment path. ➡️ Why Me? I can easily handle your DevOps needs as I have 5 years of experience in Kubernetes, Docker, CI/CD, and cloud migration. My expertise also covers Linux server deployment, security, and Helm charts. Not only this, but I have a strong grip on FastAPI, Node.js, and secret management. ➡️ Let's have a quick chat to discuss your project in detail. I can provide samples of my previous work, showcasing my DevOps solutions. Looking forward to discussing with you in chat. ➡️ Skills & Experience: ✅ Kubernetes ✅ K3s ✅ Docker ✅ CI/CD ✅ Helm ✅ GitHub Actions ✅ Linux Server Hardening ✅ Ingress-nginx ✅ MongoDB ✅ Redis ✅ FastAPI ✅ Node.js ✅ Secret Management ✅ Cloud Migration Planning Waiting for your response! Best Regards, Zohaib

@ffulb

Day one I'd audit your existing Helm charts and Dockerfiles against K3s resource limits—32GB RAM across that many services means careful resource requests/limits tuning. I've done similar single-node production setups before, including a VPS build for an Australian company that went live in under 24 hours with KeyHelp, SSL, and custom firewall rules. I'd start with K3s install, ingress-nginx and cert-manager, then validate your current charts work with your actual service dependencies before touching CI/CD. If you can share SSH access to the VPS and repo access I can assess what needs refactoring versus what's already solid. Available to start whenever. More at ffulb.com.

@denisSolution

Hi, I'd handle this using K3s with Helm because it keeps the setup lightweight and production-ready while avoiding cloud lock-in during the initial phase. The biggest improvement will come from isolating secrets, validating resource limits, and setting up immutable deployment gates before any migration. I worked on a similar platform where MongoDB StatefulSets and Redis cache needed fine-tuning for persistence, and the team had to adjust memory limits after load testing. The initial deployment stabilized after one rollback due to a misconfigured probe. Changes will be rolled out in isolated stages with GitHub Actions preview environments, and existing services will remain protected behind strict firewall rules and non-root Kubernetes access. Backups for MongoDB and ChromaDB will be automated and tested before going live. This setup ensures clean handover documentation, minimal downtime during rollbacks, and a smoother AWS migration later if needed. If the approach fits, I can review the existing setup and suggest the safest path forward. Thanks, Denis.

@alizain721

Hello, I will deliver a production-ready single node K3s deployment and CI/CD path for your full-stack real estate platform, validating Dockerfiles, Helm charts, GitHub Actions and deployment docs and implementing secure production runbooks. I migrated a multi service proptech stack from K3s to EKS for a client with 50k monthly active users. I will normalize and refactor Helm charts for KSA only deployment and update GitHub Actions to use immutable image tags, production approval gates and secure secrets handling. My secret management approach is to keep secrets only in GitHub Actions secrets and Kubernetes Secrets, rotate any exposed keys, and optionally use sealed secrets or an external secret manager for long term ops. Estimated timeline: 10 to 14 days for review, deploy, smoke tests and handover. My prelaunch security checklist includes firewall and SSH key only, restricted Kubernetes API access, RBAC and network policies, image scanning, cert manager TLS, rotated credentials, offsite MongoDB backups and documented rollback commands. If you sign the NDA and share repo access I will deliver a written list of deployment blockers, Helm/value fixes and a rollout checklist within 48 hours, free and no commitment. Happy to jump on a quick chat. Ali Zain

@toriquldev123

Hello There! I’m Md Toriqul Islam, and I’m excited to partner with you. I can dive into your project immediately. I’m a senior DevOps engineer with extensive experience in Kubernetes, K3s, Docker, CI/CD, Linux, and production infrastructure. I understand you need a production-ready K3s deployment for your multi-service real estate platform, including secure infrastructure, Helm optimization, GitHub Actions, TLS, monitoring, backup strategies, secret management, and a future AWS migration path. I can deliver a secure, scalable environment with complete documentation, rollback procedures, and operational handover. I have rich experience in Kubernetes, K3s, Docker, Helm, GitHub Actions, AWS, MongoDB, and Redis. I am skilled in DevOps, cloud infrastructure, CI/CD, Linux security, and production deployments. I’m ready to start immediately and would be happy to discuss your architecture, timeline, and security requirements. Looking forward to hearing from you. Best regards, Md Toriqul Islam

@arturg6

Hello, "single-node K3s" deployment on your VPS is the core of getting your real‑estate platform into production safely. I’ll refactor the Helm charts to use immutable image tags and a dedicated values file for the KSA‑only deployment, then configure ingress‑nginx, cert‑manager with Let’s Encrypt, and a hardened firewall – this ensures zero‑downtime rollouts and secure TLS for all public routes. My stack includes Docker, Kubernetes (K3s), CI/CD via GitHub Actions, and Linux hardening, so I can set up the StatefulSet for MongoDB, Redis cache, and persistent ChromaDB storage while keeping secrets in Kubernetes Secrets and GitHub Actions. Looking forward to working with you. Artur Giżycki

@loxtic

Hi, how are you doing? I have considerable experience with Kubernetes and K3s, Helm, Docker, CI/CD with GitHub Actions, and Linux server hardening, plus deploying multi-service stacks with MongoDB, Redis, and FastAPI/Express. I’ve done similar production setups, including secure secret management, TLS via cert-manager, and scalable deployment pipelines. I can review your codebase, normalize Helm charts for VPS, set up single-node K3s, implement monitoring, backups, and a robust rollback/runbook, and prepare handover docs. Let me know further if interested.

@iimtpradeepdash

K3s on a single-node VPS for multi-service AI/real estate calls for early attention to cluster security and stateful resource persistence—especially with MongoDB and ChromaDB sitting on VPS storage. Helm charts, secret handling, rollback plans, and airtight CI/CD are where real risk sits. I put two complex SaaS stacks into production last quarter on Kubernetes (Helm-based): the most recent included Node, Python/AI, TLS/full GitHub Actions CI/CD, plus a MongoDB StatefulSet with automated offsite backups, cert-manager for auto-rotating SSL, and custom ingress rules—details on a call under NDA. My approach: I review all Dockerfiles, Helm values/templates, and GitHub workflows first—patch image versioning, tighten probes, standardize secrets in GitHub Actions/K8s, and check no secrets drift to Git. I document every firewall, SSH config, and RBAC permission, with handover scripts and rollback/runbooks tested against a clone environment. Do you already have a preferred offsite storage for MongoDB backup, or should I integrate an S3-compatible target? Pradeep

@dataspro

Nice to meet you , It is a pleasure to communicate with you. My name is Anthony Muñoz, I am the lead engineer for DSPro IT agency and I would like to offer you my professional services. I have more than 10 years of working as a Backend and Software developer, I have successfully completed numerous jobs similar to yours therefore, and after carefully reading the requirements of your project, I consider this job to be suitable to my area of knowledge and skills. I would love to work together to make this project a reality. I greatly appreciate the time provided and I remain pending for any questions or comments. Feel free to contact me. Greetings

@engruhulajom

Hello There! I’m Md Ruhul Ajom, and I’m excited to partner with you. I can dive into your project immediately. I have rich experience in Kubernetes, K3s, Docker, Helm, GitHub Actions, Linux server administration, CI/CD, and production cloud deployments. I understand you need a production-ready K3s deployment for your multi-service real estate platform, including secure infrastructure, Helm optimization, CI/CD improvements, TLS, monitoring, MongoDB/Redis deployment, backup strategy, and a future AWS migration path. I follow security best practices, NDA requirements, and provide complete deployment and handover documentation. I am skilled in Kubernetes, K3s, Helm, Docker, GitHub Actions, AWS, Linux, MongoDB, Redis, Node.js, and FastAPI. I’m ready to start immediately and would be happy to discuss your architecture and timeline. Looking forward to hearing from you. Best regards, Md Ruhul Ajom

@jitendar1989b

With over a decade of experience in the DevOps field, specializing in Linux servers and cloud deployments, I am well-equipped to handle the complexities of your project. I have hands-on experience with essential technologies such as Kubernetes, Docker, Helm, and more -- all directly applicable to your needs. In fact, I've successfully overseen several Kubernetes production deployments that involved managing multiple services just like yours. Moreover, my familiarity with the intricacies of AWS puts me in an advantageous position for your potential long-term migration plan. My past experiences with EKS/ECR/Route53/ACM/CloudWatch align brilliantly with what you anticipate after two months of production. Safety and security are paramount in any project; and I can assure you that I hold them to high standards. My robust understanding of secret management will guarantee that your credentials on platforms including Supabase, Firebase, Cloudinary, SMTP, LLM will remain confidential and secure throughout the process.

@Heorhii01

Hi, I hope you're doing well. I understand you need a production-ready Kubernetes deployment for a multi-service AI platform with a strong focus on security, reliability, and future scalability. The goal is to validate the existing infrastructure, standardize the deployment process, and build a secure K3s environment that can later transition smoothly to AWS with minimal architectural changes. I will review your Dockerfiles, Helm charts, GitHub Actions workflows, and deployment documentation before implementing a secure K3s-based production environment. I will configure ingress, TLS, monitoring, secrets management, persistent storage, CI/CD, automated backups, rollback procedures, and production hardening following DevOps best practices. I also have experience deploying containerized applications, Kubernetes, Docker, GitHub Actions, and AI-powered services, and I can share relevant infrastructure projects in chat. I will deliver a secure, maintainable, and well-documented deployment with a smooth handover, ensuring your platform is ready for production and future cloud migration. Best regards, Heorhii.

@gauravl3

As an experienced Full-Stack Developer with a specialization in cloud and AI technologies, my team and I are dedicated to building the most efficient, scalable, secure, and high-performing architecture possible for your project. We possess a strong command over Kubernetes, Docker, CI/CD, Helm, Linux VPS deployment and production security which makes us the perfect fit for this task. Our distinguished skill-set further encompasses Python and Node.js service deployment such as FastAPI and Express Deployment that directly resonates with the AI services you require for your platform. In addition to this, we have a sound knowledge and experience in working with the databases like MongoDB and caching systems like Redis which holds substantial relevance to your project needs. Our expertise also extends to all the integrations you desire from Supabase to Firebase to SMTP; ensuring smooth functioning of your platform is our topmost priority. With my team on board, you won't only receive exactly what you need but also added value in terms of secure secret management through Kubernetes Secrets and GitHub Actions secrets as per your security requirements. Our strong focus on clean code-writing has always ensured faster deployments with zero hitches.

@singhmithilesh60

Hello I am a Senior DevOps & Cloud Engineer with 11+ years of experience in designing, implementing, automating, and managing secure, scalable, and highly available cloud infrastructure. I have successfully delivered enterprise-grade DevOps solutions for global clients across AWS, Azure, and GCP. My expertise include • 11+ years of hands-on experience in DevOps, Cloud Engineering, and Infrastructure Automation. • Extensive experience with AWS, Microsoft Azure, and GCP. • Strong expertise in Terraform, Terragrunt, CloudFormation, and Infrastructure as Code (IaC). • CI/CD pipeline implementation using GitHub Actions, GitLab CI, Jenkins, Azure DevOps. • Containerization using Docker and Kubernetes (EKS, AKS), Helm, OpenShift, and Rancher. • Configuration management using Ansible. • Scripting skills in Python, Bash, and PowerShell. • Monitoring and observability using Datadog, Grafana, Prometheus, Splunk, ELK Stack, New Relic, and CloudWatch. • DevSecOps implementation with SonarQube, Veracode, vulnerability scanning, secret scanning, IAM, and security best practices. • Experience in cloud migration, infrastructure modernization, disaster recovery, backup strategies, and high availability architecture. • Expertise in troubleshooting production issues related to cloud infrastructure, Kubernetes, networking, storage, and CI/CD pipelines.