Experienced DevOps Engineer Needed, Part-Time, Remote

@kumarashish99

Drawing from my extensive 5+ years of experience in DevOps and having worked specifically on Kubernetes and Docker architecture, I am confident I can seamlessly fulfill the part-time, remote role of a DevOps Engineer. My proficiency in AWS services, such as EKS for Kubernetes management, will be particularly beneficial for your containerized applications environment. Furthermore, my competency in infrastructure-as-code (Terraform, CloudFormation) and CI/CD pipeline design suits your preference of scalability and efficiency in dealing with high-traffic applications. My repertoire extends beyond merely DevOps to backend development. This includes utilizing languages like Python, Node.js, and PHP—I can architect serverless solutions using tools such as Serverless Framework, SAM, and SST. Moreover, my aptitude for integrating advanced AI/ML functionalities into applications could prove beneficial for enhancing your business outcomes through automation using AWS AI/ML services such as Textract, Comprehend, Kendra,and Rekognition. Given the chance to join your team promptly,I guarantee an unwavering focus on delivering quality results through efficiency based on solid expertise gained over time.

@nadeemkhan7

Hello, I went through your project description and it seems like that I am a great fit for this job. I have an expert team with many years of experience in Cloud Computing, Troubleshooting, MQTT, Docker, Kubernetes, DevOps, Automation, Containerization. Lets connect in chat so that we discuss further. Thank You

@ravikumarsingh1

Hiring: DevOps Engineer (Weekend Part-Time | Remote) We are looking for an experienced DevOps Engineer to support production environments on weekends. This is a great opportunity for professionals looking for part-time or side income work. Work Timings: * Saturday & Sunday * 2:00 PM – 10:00 PM (IST) Role Requirements: * 5+ years of experience in DevOps / Production Support * Hands-on experience with Docker & Kubernetes * Experience in supporting containerized applications * Strong troubleshooting and incident management skills * Ability to handle critical production issues independently * Comfortable working in weekend or shift-based roles Good to Have: * Experience with MQTT * Exposure to monitoring and logging tools Project Details: * Work Mode: Remote * Start: Immediate joiners preferred * Engagement: Hourly (Weekend-based) To Apply, please share: * Updated Resume * Total Experience * Experience with MQTT / Docker / Kubernetes * Current Location * Availability to start Serious applicants only. Candidates available for immediate weekend support will be preferred.

@souravsasmal14

Hi, I’m interested in supporting your production environment over weekends. I have hands-on experience with Docker, Kubernetes, and managing containerized applications in live environments, including troubleshooting and resolving critical issues under pressure. I’ve worked on monitoring, deployments, and incident handling, ensuring systems stay stable and recover quickly when problems occur. I’m comfortable working independently during shifts and handling production responsibilities. Details: • Total Experience: 3+ years DevOps • Docker/Kubernetes: Practical deployment & troubleshooting experience • MQTT: Basic exposure • Location: India • Availability: Ready to start immediately for weekend shifts I’m reliable, responsive, and focused on keeping systems running smoothly. Thanks.

@nitinp557

Hello, I’m a DevOps engineer with over 10 years of experience working with Docker, Kubernetes, and production infrastructure support. I have handled incident management, troubleshooting containerized applications, and maintaining system stability in live environments. I am comfortable providing weekend support and can independently resolve production issues. I’m available to start immediately. Total Experience: 10+ years Location: Mumbai, India Docker/Kubernetes Experience: Yes (Production environments) Availability: Weekends 2 PM – 10 PM IST Happy to discuss further. Best regards, Nitin

@Basavarajbhavi61

I am a DevOps Engineer with hands-on experience in AWS, CI/CD, and production environment support. I currently manage infrastructure on AWS and have experience setting up and maintaining self-hosted GitLab for source code management. I am skilled in monitoring, incident response, automation, and ensuring high availability of systems. I am comfortable working weekend shifts (2:00 PM – 10:00 PM IST) and can proactively handle production issues, deployments, and system reliability. I am looking for a part-time opportunity and would be glad to contribute effectively to your team.

@SourabhTailor

DevOps Engineer with 3+ years of experience in managing and supporting production environments. Strong expertise in Docker and Kubernetes for deploying and troubleshooting containerized applications. Experienced in handling critical incidents, performing root cause analysis, and ensuring high system uptime. Skilled in monitoring and alerting tools like Prometheus and Grafana. Hands-on experience with CI/CD pipelines (Jenkins/GitHub Actions) and cloud platforms such as AWS/Azure. Proficient in Linux administration, Bash/Python scripting, and networking fundamentals. Capable of working independently in high-pressure, weekend or on-call support environments.

@chaitanya6454

Having been in the DevOps space for the past 2 years, I have amassed a profound understanding of AWS cloud infrastructure and Terraform, which I believe will be useful in effectively supporting, automating, and managing your production environments. My comprehensive understanding of CI/CD pipelines, Linux administration, and monitoring has consistently enabled me to improve deployment reliability while troubleshooting incidents with agility, traits that are absolutely critical for this weekend-based role. My skills in containerization particularly with Docker and Kubernetes expertize that you seek, combined with my advanced understanding of monitoring and logging tools will ensure a seamless experience that meets your project objectives. Although my proficiency with MQTT is still developing, I am eager to expand my current knowledge base in assisting projects like yours. Based in Hyderabad, India I am more than ready to begin immediately. My availability on weekends at the desired timings gives you the peace of mind knowing that your operations will be effectively managed by an experienced professional with a proven ability to handle critical production issues independently. I am serious about this opportunity and genuinely excited to contribute positively to your team's success.

@deva266

I'm Devarasu, a seasoned DevOps Engineer with an extensive background that aligns perfectly with your project requirements. Over the course of my 4+ years in the industry, I've specialized in AWS and Microsoft Azure cloud infrastructures, while proving my abilities in Kubernetes (AKS/EKS), Docker, CI/CD pipelines, and Infrastructure as Code using Terraform - precisely what your position calls for. Through my previous roles, I've accrued hands-on experience managing high-pressure production environments just like the one you're seeking support for on weekends. This comprehensive understanding of end-to-end DevOps workflows, from infrastructure setup to monitoring and troubleshooting, equips me to provide the level-headedness and skill required to handle critical issues autonomously. As a proponent of thoroughness and reliability, my work philosophy centers around creating secure and high-performance systems which is evident in my past work. Not only do I have the technical expertise you need for this job but I also fit perfectly into your time frame - both in terms of availability as well as immediate start readiness. If you're looking for someone who can make a valuable, productive impact on your DevOps team even in limited hours part-time work, look no further. Let's ensure your production environments keep running at peak efficiency all weekend long!

@solutionzhereAU

Hello, We are a team of senior DevOps engineers with 8+ years of experience across CI/CD, cloud (AWS/Azure/GCP), containers (Docker/Kubernetes), infrastructure as code (Terraform/CloudFormation), and monitoring/automation. We have successfully delivered remote DevOps projects for Indian MNCs such as Bristlecone, Brillio, Alois, and A5E on long-term contracts. We are available to join full-time in a remote capacity, and our proposed rate is INR 2,000 per hour for senior-level DevOps engagement. Happy to discuss your current setup and quickly propose an implementation roadmap. Thanks

@rajatmehta2

Your search for an experienced and dedicated DevOps Engineer ends here! With over 8 years of intensive work in IT, including 6 years specifically devoted to crafting and managing cloud infrastructure and overseeing all aspects of DevOps, I am confident that I can effectively contribute to your project. I am adept at utilizing AWS alongside others like Azure, GCP, DigitalOcean, and Hetzner, making it possible for me to architect multi-region, fault-tolerant environments tailored to the unique requirements of different businesses. My expertise in Docker, Kubernetes, and Helm will come in handy for effective containerization of applications and the smooth management of your production Kubernetes clusters with no downtime deployments and optimized resource allocation. Additionally, I have a solid grip on Infrastructure as Code tools such as Terraform, Ansible and AWS CloudFormation, as well thorough exposure to key CI/CD pipelines like Jenkins, GitHub Actions among others to enable faster and secure deployment strategies. My sound knowledge of monitoring & observability using tools like Promethesis

@allurir

Hi, I’m very interested in your weekend DevOps support role and can confidently handle production environments independently. I have 6.5 years of experience in DevOps and production support, with strong hands-on expertise in Docker, Kubernetes, and managing containerized applications in live environments. I have regularly handled: * Production incident troubleshooting and quick resolution * Kubernetes deployment and scaling issues * Debugging container failures and performance bottlenecks * Ensuring high availability and minimal downtime I’m comfortable working in weekend shifts (2 PM – 10 PM IST) and can take full ownership of critical production issues I focus on fast response, root cause analysis, and long-term stability improvements. I can start immediately. Let’s connect and discuss how I can support your team. Thanks

@bhargav62s

Hi, I see you're looking for weekend production support for containerized workloads. I’ve worked on AWS EKS environments handling deployments, failures, and monitoring, including: - Debugging pod failures and IAM permission issues using kubectl + CloudWatch - Setting up CI/CD pipelines with rollback strategies (Jenkins, GitHub Actions) - Monitoring with Prometheus/Grafana to reduce incident detection time In one setup, I reduced deployment failures by ~60% by adding proper health checks and pipeline validation. I’m available for your exact weekend time slot and comfortable handling issues independently. Quick question: What kind of production issues do you face most often — infra-level (cluster/node), deployment failures, or application crashes? Happy to share relevant project links. Thanks.

@kmlydv04

Having 4+ years of experience in Production Support * Hands-on experience with Docker & Kubernetes * Strong troubleshooting and incident management skills * Ability to handle critical production issues independently * Comfortable working in weekend or shift-based roles I have a quick question - will this be handled by a group, or as an individual open for further disscussion

@kalpeshk777

Hello, I’m interested in your Weekend Part-Time DevOps Engineer role and believe my experience aligns well with your requirements. I have over 6 years of hands-on experience in DevOps and production support, with strong expertise in Docker and Kubernetes. I’ve worked extensively with containerized applications, handling deployments, scaling, and troubleshooting in live production environments. I’m comfortable managing critical incidents independently and ensuring minimal downtime during high-pressure situations. Additionally, I have experience with monitoring and logging tools such as Prometheus, Grafana, and ELK stack. While my exposure to MQTT is moderate, I am confident in quickly adapting and supporting related workloads. Here are my details: Total Experience: 6+ years Docker & Kubernetes: Extensive hands-on experience MQTT Experience: Basic to intermediate Current Location: Pune, India Availability: Immediate (available for weekend shifts 2 PM – 10 PM IST) I am specifically looking for a reliable weekend engagement and can commit consistently to production support needs. Please let me know if you’d like to discuss further or schedule a quick call.

@saksheesingh1206

Hi, I’m interested in the DevOps Engineer (Weekend Support) role. I have 5+ years of experience in DevOps and production support, working with containerized applications and cloud infrastructure. Currently, I’m working in an enterprise production environment, handling CI/CD pipelines, infrastructure automation, and critical system issues. Here are my details: - Total Experience: 5+ years - Docker & Kubernetes: Hands-on experience with containerization, deployments, debugging, and scaling - Cloud & DevOps: AWS, OCI, Terraform, GitLab CI/CD - Production Support: Experience in incident handling, troubleshooting, and maintaining system stability - Automation: Built scripts and pipelines to reduce manual effort and improve reliability MQTT Experience: Basic understanding, open to learning quickly Location: India Availability: Immediate, available for weekend shifts (Saturday & Sunday, 2 PM – 10 PM IST) I’m comfortable working independently and handling critical production issues during weekend support. Please find my resume attached. Looking forward to discussing further. Thanks, Sakshee Singh

@Bryam1992

DevOps Training Proposal The goal of this program is to equip individuals with the skills to design, implement, and operate modern platforms, covering both foundational concepts and advanced real-world practices. 1. Cloud-Native Platforms Fundamentals Learn how to build and operate scalable production environments, understanding modern cloud architectures. 2. High-Traffic and Distributed Architectures Gain knowledge in designing event-driven systems, using messaging queues, and implementing distributed caching strategies to handle large-scale workloads. 3. Kubernetes in Production Manage large-scale clusters (100+ nodes), including deployment strategies, monitoring, autoscaling, and troubleshooting. 4. CI/CD and GitOps Practices Implement automated pipelines and GitOps workflows to enable reliable and continuous software delivery. 5. Infrastructure as Code (IaC) Use Terraform with reusable modules to provision consistent, version-controlled, and automated infrastructure. 6. Multi-Cloud (GCP & AWS) Design and operate infrastructure across multiple cloud providers, leveraging the strengths of each platform. 7. Observability and Security Implement monitoring, logging, tracing, and security best practices in distributed environments. 8. Advanced Technologies Introduction to service mesh, serverless architectures, and AI-driven automation (including RAG) applied to DevOps.

@sanjayd27

Hi, I’m interested and available to start immediately. I have 3+ years of DevOps experience with strong hands-on skills in Docker, Kubernetes, and production support. I’m comfortable handling critical incidents independently and ensuring system stability. Details: * Experience: 3+ years * Docker/Kubernetes: Strong * MQTT: Basic * Location: India * Availability: Fully available (Sat–Sun, 2–10 PM IST) Looking forward to supporting your production systems. Thanks, Sanjay Devadas

@vw7372820vw

Designed and managed Kubernetes workloads on AWS EKS ensuring high availability Implemented CI/CD pipelines using AWS CodePipeline for automated deployments Built centralized logging using EFK stack (Elasticsearch, Fluent Bit, Kibana) Configured AWS CloudFront and WAF for application security and performance Automated operational tasks using Python scripts Integrated PagerDuty for incident alerting and on-call management