Senior DevOps Engineer Needed

@tangramua

Dear ,   We carefully studied the description of your project and we can confirm that we understand your needs and are also interested in your project. Our team has the necessary resources to start your project as soon as possible and complete it in a very short time.   We are 25 years in this business and our technical specialists have strong experience in Python, Linux, Node.js, Artificial Intelligence, Kubernetes, DevOps, Cloudflare, CI/CD, Retrieval-Augmented Generation (RAG) and other technologies relevant to your project.   Please, review our profile https://www.freelancer.com/u/tangramua where you can find detailed information about our company, our portfolio, and the client's recent reviews.   Please contact us via Freelancer Chat to discuss your project in details.    Best regards, Sales department Tangram Canada Inc.     

@denisSolution

Hi, The project sounds like a solid DevOps setup with some AI/LLM sprinkled in. Coming from a container-heavy environment with Grafana & Loki already in place makes sense—those tools are reliable when tuned right. I’ve worked on a similar Kubernetes-heavy stack before, keeping an AI-driven platform stable while rolling out changes without breaking production. The part that usually needs the most attention is making sure the CI/CD pipeline doesn’t just deploy automatically but does it safely, with rollbacks and clear monitoring. For Cloudflare, the setup isn’t just about turning it on; it’s about tuning caching, security rules, and making sure the origin stays performant under load. I’d treat the observability stack the same way—keep it clean but useful, so alerts don’t become noise. The RAG and LLM bits sound like they’ll need some scripting in Python to tweak prompts or retrieval logic. That’s doable, but it depends on how clean the existing data pipelines are. If the documents or embeddings aren’t structured well, that’ll slow things down. Risks? The biggest unknown is how tightly coupled the AI components are to the rest of the system. If the LLM calls are blocking or chatty, we might need to adjust async handling or caching. Also, Cloudflare’s WAF rules can be finicky—better to test changes in stages. Thanks, Denis.

@vishal1145

Your Grafana & Loki observability stack will generate false positives if log retention policies aren't tuned to match your Kubernetes pod lifecycle. This causes alert fatigue and masks real incidents when traffic spikes. Quick questions - what's your current pod autoscaling threshold, and are you running stateful workloads that need persistent volume claims? And what's your target deployment frequency - daily pushes or multiple releases per day? Here's the architectural approach: - KUBERNETES: Audit resource limits, implement HPA rules, and migrate any brittle deployments to rolling updates with proper health checks. - CI/CD: Build GitOps pipelines using ArgoCD or Flux so every commit triggers automated testing, canary deployments, and rollback triggers. - CLOUDFLARE: Configure WAF rules, rate limiting, and origin certificate pinning to block DDoS attempts before they hit your cluster. I've scaled Kubernetes clusters from 12 to 200+ nodes for a fintech client processing 50M API calls daily. Let's schedule a 15-minute call to review your current manifests and identify quick wins.

@maxscender

I can help you take ownership of your existing stack and turn it into a reliable, automated delivery machine. I’ll start with a focused audit of your current Kubernetes setup—identifying weak points in configuration, resource usage, and security—then implement fixes directly. From there I’ll extend your CI/CD so every merge flows through automated tests, builds, and safe production deployments, with rollback paths built in. On the infrastructure side, I’ll harden server-level settings, configure Cloudflare for security and performance, and keep Grafana & Loki observability sharp—alerting on the right signals, not noise. I’ll also work closely with your app team on RAG/LLM tuning, LiveAvatar TTS/SST integrations, and Python scripting as needed. Practical, production-focused, and ready to improve your platform from day one.

@ambientinfotech

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,

@arslanshahid386

Hi, I understand you're looking for a seasoned DevOps engineer to enhance your Kubernetes configuration and streamline your CI/CD pipeline. My approach involves conducting a thorough audit of your current setup, optimizing server settings, and implementing Cloudflare for increased security. With over five years of experience in DevOps, I have successfully managed similar Kubernetes environments, ensuring reliability and scalability while integrating monitoring tools like Grafana and Loki. I also have a solid background in Python scripting, which will support your AI components and integration tasks. I can work both half-time and full-time, and I’m ready to help your platform thrive. Could you please confirm your preferred capacity for engagement?

@mobimubasir

Hello there, I’m a DevOps engineer with 5+ years of production experience across Kubernetes, CI/CD, Grafana/Loki, Cloudflare, Linux infrastructure, Python automation, and AI/LLM integrations, including stabilising and scaling containerized platforms with automated deployments and observability. My proposed monthly rate is $2,500 for 50% capacity (~20 hrs/week) and $5,000 for 100% capacity, with availability to start immediately and take ownership of both infrastructure reliability and ongoing improvements. I can audit and optimize your Kubernetes environment, strengthen Git-to-production pipelines, tune servers and Cloudflare, maintain monitoring, and collaborate effectively on RAG/LLM, LiveAvatar TTS/STT, Python, and Node.js requirements.

@Muhammadzeesha59

Hello Sir/MAM I am a Skilled Full Stack Developer. Having rich experience in Java , C++ , C , C# , Python , Eclipse , Sql , Mysql , .Net ,Oracle , Object Oriented Programming , Data Structure , Algorithms, Linux , Windows , Cloud , Azure , Ubuntu , OpenAI , Desktop Applications. Web Development I have a perfect grip on “Artificial Intelligence” “Automation” , and work in “Machine Learning” Deep Learning “Computer Vision ” Object Detection”. My track record as demonstrated in my 100% job completion and 5-star review rating showcases My ability to deliver exceptional results on time and with utmost quality I believe that my skill set makes me the ideal candidate for this project Please come on chat we will discuss more about this I will be waiting for your reply . Thanks and Best Regards

@toriquldev123

Hello Dear, I’m Md Toriqul Islam, a full-stack and DevOps engineer with over 10 years of experience across Kubernetes, Docker, Linux, CI/CD, cloud infrastructure, Cloudflare, Python, Node.js, monitoring, and production application environments. I understand you need someone who can take ownership of an existing containerized infrastructure, stabilize and improve Kubernetes, automate the Git-to-production deployment pipeline, maintain Grafana/Loki observability, and support your AI stack, including RAG/LLM and LiveAvatar TTS/SST integrations. I can handle Kubernetes configuration audits, deployment strategies, CI/CD automation, server optimization, Cloudflare security and performance configuration, logging, monitoring, backups, and production troubleshooting. I’m also comfortable using Python for automation and integration work, with Node.js when appropriate. My approach would begin with an infrastructure and deployment audit, followed by prioritized improvements, CI/CD hardening, observability validation, and ongoing maintenance. For AI-related work, I can also support API integrations, RAG pipelines, automation, and Python-based services. I’m available to start immediately and would be happy to review your Kubernetes architecture and current CI/CD setup before defining the initial milestones. Best regards, Md Toriqul Islam

@trm66614

I am excited about the opportunity to collaborate on your platform expansion as a Senior DevOps Engineer. With over five years of experience, I am well-equipped to take ownership of your DevOps toolchain. I understand that you'll need an audit of your current Kubernetes configuration, and I am ready to enhance its efficiency and maintain ongoing deployments. My expertise extends to CI/CD pipelines, ensuring seamless transitions from Git commits to production. Additionally, I'm proficient in setting up Cloudflare for peak security and performance, while ensuring your observability stack remains healthy. I also bring experience in fine-tuning server settings and collaborating with application teams, especially in areas like RAG & LLM adjustments for AI components and integrating systems like LiveAvatar. I can manage scripting tasks in both Python and Node.js as needed. For availability, I offer flexibility for either half-time or full-time engagement and can tailor my approach to meet your specific needs. What specific outcomes do you hope to achieve with the enhancements to the CI/CD pipeline? Looking forward to the possibility of working together. Best, Talha

@dtk507

Hello. I'm Davide, I'm here to help you. I understand you need ownership of a live Kubernetes platform with safer CI/CD, Cloudflare hardening, and stable observability. I'll audit the current Kubernetes setup, clean up manifests and deployment flows, then wire Git commit to production through a controlled CI/CD pipeline with rollback checks and environment promotion. Grafana & Loki will be tuned for alerting, log retention, and service-level visibility, while Cloudflare will be configured for WAF, caching, TLS, and edge performance. I’ll also keep the RAG Which Kubernetes distribution, CI/CD stack, and Cloudflare features are already in place? and LiveAvatar TTS/SST integration work aligned with the platform, with Python for the main scripting and Node.js where it fits the existing stack. I can start immediately and you can get good results within 5 days. Looking forward to hearing from you. Best regards, Davide

@nolk

Hi there, I have 10+ years experience working as DevOps in different environments. I'm certified CKA and will be happy to help you with your setup.

@sahilcomputers39

Hi there, Production Kubernetes + CI/CD ownership — 16+ years in DevOps, Cloud & Security, including live containerized environments, observability, and automated deployments. I can independently take ownership of your existing toolchain rather than requiring hand-holding. I’ve worked on Kubernetes, Grafana/Loki, CI/CD, Cloudflare, Docker, AWS, Python, and Linux, with a focus on stabilizing production workloads, improving deployments, and resolving infrastructure issues. For your platform, I can start with a Kubernetes audit, then improve deployments, CI/CD automation, server configuration, Cloudflare security/performance, and observability. I can also support the RAG/LLM, LiveAvatar TTS/SST, and Python/Node.js integration work where DevOps involvement is required. AWS Solutions Architect – Professional AWS Solutions Architect – Associate CISA Certified Security Expert 16+ Years Industry Experience Availability: 4 hrs/day or 8 hrs/day - 50% capacity: $1,800/month - 100% capacity: $3,200/month I can share a relevant Kubernetes project example and discuss your current architecture. Best regards, SHD

@sarthaktyagi0

I’m a Cloud/DevOps Engineer with hands-on experience managing Kubernetes, CI/CD, Docker, AWS, Terraform, Grafana, Loki, Cloudflare, and production infrastructure. I can take ownership of your existing toolchain, audit the current Kubernetes setup, improve reliability, and handle ongoing deployments and maintenance. I’ve worked on Kubernetes-based environments involving automated deployments, monitoring, troubleshooting, infrastructure automation, and production optimization. I’m also comfortable with Python scripting and can collaborate with application teams on automation and AI-related integrations. For your initial objectives, I’d focus on stabilizing the current environment first, then improving CI/CD, observability, security, and deployment automation without disrupting production. I’m available for either 20 hrs/week or full-time engagement and can discuss monthly pricing based on the required capacity.

@bishoyabdo

Hi, I’m an experienced DevOps Engineer with strong hands-on experience managing production cloud environments, Kubernetes, CI/CD, Terraform, Azure/AWS infrastructure, monitoring, and automation. Your environment is particularly interesting to me because it combines production Kubernetes workloads with observability, Cloudflare, CI/CD, and AI-related infrastructure. I can take ownership of the existing platform and help with:

@kumarashish99

Hi, I’m interested in this role. I have 10+ years of DevOps experience with strong hands-on expertise in Kubernetes, AWS, Docker, Terraform, CI/CD, Grafana, Loki, Cloudflare, and production troubleshooting. I’ve managed and stabilized production Kubernetes environments by improving resource management, deployments, monitoring, security, and reliability. I also have experience supporting AI/LLM workloads, RAG pipelines, and Python automation, which fits well with your application-side requirements. Relevant experience: I worked on high-traffic platforms where I handled Kubernetes/container infrastructure, CI/CD automation, observability with Grafana/Loki, Cloudflare security/performance, and AWS cost optimization while maintaining production reliability. Availability: 20–40 hours/week I’m comfortable taking ownership of the existing platform, starting with a Kubernetes/CI/CD/observability audit and then continuously improving and maintaining the environment. Best regards,

@abdulhamidh2

Hello I’m excited about your need for a seasoned DevOps engineer to enhance your Kubernetes environment and CI/CD pipeline. With over five years managing containerized production workloads, I specialize in auditing and optimizing Kubernetes clusters, automating deployments, and maintaining observability stacks using Grafana and Loki. For your project, I’d start by thoroughly auditing your current Kubernetes setup, then extend your CI/CD pipeline for seamless Git-to-production workflows. I’m also experienced with Cloudflare configuration for security and performance tuning. Additionally, I’ve worked closely with AI teams on RAG systems and integrated TTS/SST solutions, scripting extensively in Python and Node.js. My monthly rates are $1200 for half-time (20 hrs/week) and $2300 for full-time. I recently scaled a Kubernetes cluster supporting real-time AI inference workloads while improving monitoring stability. What specific challenges have you faced with your current pipeline or observability setup? Best regards, AbdulHamid

@emilesd617

Hi, I am a DevOps engineer with 8 years of rich experience in software development and cloud infrastructure, with a background in containerized production environments and deployment automation. I am familiar with Kubernetes, Docker, Linux, CI/CD, Grafana, Loki, Cloudflare, Python, Node.js, RAG, LLM integrations, and production monitoring. For your existing environment, I can first audit the Kubernetes workloads, deployment configuration, resource usage, networking, and observability stack, then strengthen the CI/CD flow from Git commit through safe production deployment. I can also handle Cloudflare and server optimization while supporting the application team with Python, RAG/LLM and TTS/STT integration work. I'm an individual freelancer and can work in any time zone you want. I am available for either the 20-hour/week or full-time engagement. Please contact me with the best time for you to have a quick chat. Looking forward to discussing more details. Thanks. Emile.

@ianb65

Hello, Kubernetes drift, brittle CI/CD, and Cloudflare hardening are exactly the kind of production issues I solve fast. I’ve got strong expertise in Kubernetes, Grafana, Loki, CI/CD, and Cloudflare, and I’ll start by auditing the cluster, tightening deployments, and improving rollout safety end to end. I’ll then stabilize the observability stack, tune server settings, wire safer Git-to-production automation, and support the Python and Node.js scripting needed for RAG, LiveAvatar TTS/SST, and adjacent app tasks. Best regards, Ian