Software Engineer Full Time Remote India At KubeNine, we simplify the chaos of Cloud and DevOps. We focus on building automation tools that transform how companies run their Cloud and DevOps operations! Were bootstrapped and profitable, committed to delivering high-quality solutions that make a real difference. Please apply only if you have 2+ years of experience in software engineering Responsibilities Design and develop Langchain-based RAG applications. Automate DevOps workflows using Airflow. Ensure the reliability, performance, and security of the system. Conduct research on the latest trends in AI and the RAG ecosystem. Monitor and resolve application issues. Requirements A strong academic background in Computer Science. Hands-on experience with Python. Exposure to Python frameworks like, Django, Flask, FastAPI Familiarity with Langchain, LangGraph, and LangSmith. Basic understanding of Docker and Kubernetes. Excellent problem-solving and communication skills. Bonus Points Experience building real-world web applications. A strong GitHub profile showcasing your projects and contributions. Familiarity with cloud platforms like AWS, GCP, or Azure. A good github profile with all the works done Why KubeNine Fully remote role: Flexibility to work from anywhere! Work on impactful projects, have full ownership of what youre working on! Learn and grow with a supportive team passionate about cloud technologies. Annual Compensation 10 to 18 LPA - based on expertise! If this sounds like the opportunity for you, we d love to hear from you! Apply for this position Fullname Email Mobile Enter 10 digit mobile number without country code Graduation year Enter year only (e.g., 2023) Resume Upload resume in PDF format only. Maximum file size: 1.5MB Notice period Current ctc Enter annual CTC in lakhs (e.g., 15.25 for 15,25,000) Experience Enter relevant experience in years (excluding internships). Use decimal for months (e.g., 2.5 for 2 years 6 months)

At KubeNine, we simplify the chaos of Cloud and DevOps. We focus on building automation tools that transform how companies run their Cloud and DevOps operations! Were bootstrapped and profitable, committed to delivering high-quality solutions that make a real difference. Please apply only if you have 2+ years of experience working with AWS Responsibilities Design, implement, and manage cloud infrastructure. Develop and maintain CI/CD pipelines. Ensure system reliability, performance, and security. Automate infrastructure provisioning and deployments using Terraform. Monitor and troubleshoot infrastructure issues. Requirements You should have at least 2 years of experience working as a DevOps Engineer on AWS Cloud. Strong experience with Docker, Kubernetes and container orchestration. Experience in writing terraform code and using terraform modules for large scale projects Experience with writing Python scripts. Excellent problem-solving and communication skills. Bonus Points AWS Cloud certifications Experience with Observability tools - like Prometheus, Grafana, Loki and Alertmanager A good github profile showcasing all the work done! Why KubeNine Fully remote role: Flexibility to work from anywhere! Work on impactful projects, have full ownership of what youre working on! Learn and grow with a supportive team passionate about cloud technologies. Annual Compensation 10 to 20 lakhs INR - based on experience and expertise! If this sounds like the opportunity for you, we d love to hear from you! Apply for this position Fullname Email Mobile Enter 10 digit mobile number without country code Graduation year Enter year only (e.g., 2023) Resume Upload resume in PDF format only. Maximum file size: 1.5MB Notice period Current ctc Enter annual CTC in lakhs (e.g., 15.25 for 15,25,000) Experience Enter relevant experience in years (excluding internships). Use decimal for months (e.g., 2.5 for 2 years 6 months)

Responsibilities Design and develop Langchain-based RAG applications. Automate DevOps workflows using Airflow. Ensure the reliability, performance, and security of the system. Conduct research on the latest trends in AI and the RAG ecosystem. Monitor and resolve application issues. Requirements A strong academic background in Computer Science. Hands-on experience with Python. Familiarity with Langchain, LangGraph, and LangSmith. Basic understanding of Docker and Kubernetes. Excellent problem-solving and communication skills. Bonus Points Experience building real-world web applications. A strong GitHub profile showcasing your projects and contributions. Familiarity with cloud platforms like AWS, GCP, or Azure. Have previous internship experience.