AutonomOps AI is a fast-growing startup building multi-AI agent systems that revolutionize Ops with LLM-driven capabilities. We need a 10x Engineer proficient in Python, LLM tech-stack, and micro services who thrive on rapid innovation. The role involves creating, deploying, and maintaining AI-driven features that tackle real-world DevOps and Observability challenges, ensuring high code quality through test-driven development. Hackathon enthusiasm and open-source contributions are strongly valued.ResponsibilitiesDevelop & Maintain AI Agents: Build Python-based LLM applications (Flask/FastAPI), harnessing frameworks like Hugging Face, spaCy, PyTorch, and TensorFlow.Prototype & Integrate ML Models: Quickly experiment with different machine learning models (anomaly detection, random forest, etc.) to find the best fit for each use case.Deploy Micro services: Implement containerization using Docker and Kubernetes, deploying on Azure/AWS/GCP with CI/CD pipelines (Jenkins, GitHub Actions, or Azure DevOps).Cross-Functional Collaboration: Coordinate with SRE and DevOps teams to design solutions that optimize Observability (Datadog, Splunk, Prometheus, Grafana) and performance.Hackathon & Open-Source: Engage in hackathons or open-source initiatives, applying creativity to rapidly prototype and refine features.Tech Stack & SkillsCore: Python, LLM libraries (Hugging Face, spaCy), ML frameworks (PyTorch, TensorFlow, Scikit-Learn), TDD (pytest), Docker, KubernetesCI/CD Tools: GitHub Actions, Jenkins, Azure DevOpsBonus: Java, React, Observability tools (Datadog, Splunk, Prometheus, Grafana)Hackathon/Open-Source: Participation is a strong plus, demonstrating creativity and a competitive edgeQualificationsExperience: 1-5 years in software development , particularly AI/ML-based projectsSkills: Strong at Coding, Solid foundation in Python; familiarity with AI, ML, and LLM conceptsMindset: Comfortable iterating rapidly, pivoting quickly, and taking ownership in a fast-paced startupTeamwork: Excellent communication skills; self-driven with minimal supervisionWhat We ExpectGreat at Problem-Solving: A figure it out and make it happen mindsetAdaptability: Thrive in a lean environment where shifting priorities and quick pivots are commonEagerness to Learn: Stay current with AI/ML trends and keep pushing boundariesLooking to Differentiate Yourself?Peek at our LinkedIn posts - Latest Product Launch (https://lnkd.in/gdEGfzjC) and Industry Feature (https://bit.ly/4hHtEoR) to see how were pioneering multi-AI agent solutions for Observability. We regularly post about AI breakthroughs, DevOps insights, and new feature demos - so follow us on LinkedIn if you want the inside track. This is the best way to differentiate yourself and perform strongly in the interview, because it’ll give you a deeper grasp of our product and company vision.How to ApplySend your resume or portfolio, highlighting innovations / hackathons experience, GitHub & open-source contributions, or notable AI/ML projects. We’re excited to see what you can do!

AutonomOps AI is a fast-growing startup building multi-AI agent systems that revolutionize Ops with LLM-driven capabilities. We need a 10x Engineer proficient in proficient in Java and Spring Boot, eager to architect and ship microservices in a fast-paced environment. If you thrive on bridging enterprise frameworks with cutting-edge AI solutions, value TDD, and enjoy learning new technologies quickly, this role is for you. Hackathon enthusiasm and open-source contributions are strongly valued.ResponsibilitiesMicroservices Development: Build scalable, fault-tolerant microservices in Java (Spring Boot), implementing REST APIs and event-driven architectures.Cloud & CI/CD: Containerize apps with Docker, orchestrate deployments on Kubernetes, and configure pipelines using Jenkins, GitHub Actions, or Azure DevOps.Performance & Observability: Optimize code for concurrency, latency, and reliability; integrate metrics/logs via Prometheus, Grafana, Datadog, or Splunk.Test-Driven Development: Maintain high code quality with unit, integration, and regression tests (JUnit, Mockito).Collaboration: Work with cross-functional teams (SRE, AI, Frontend) to ensure seamless data exchange between services and AI/ML modules.Innovation: Engage in hackathons or open-source communities, exploring new tools and techniques to enhance stability and performance.Tech Stack & SkillsCore: Java (17+), Spring Boot, Maven/GradleTesting: JUnit, Mockito, TDD best practicesCloud: Docker, Kubernetes, AWS/Azure/GCPCI/CD: Jenkins, GitHub Actions, Azure DevOpsBonus: React, Observability (Datadog, Splunk, Prometheus, Grafana), hackathon/open-source experienceQualificationsExperience: 2-5 years in backend or microservices developmentSkills: Solid Java & Spring Boot fundamentals; strong problem-solving abilityMindset: Agile, able to pivot swiftly in a startup environmentTeamwork: Excellent communication and collaborationLooking to Differentiate Yourself?Peek at our LinkedIn posts - Latest Product Launch (https://lnkd.in/gdEGfzjC) and Industry Feature (https://bit.ly/4hHtEoR) to see how were pioneering multi-AI agent solutions for Observability. We regularly post about AI breakthroughs, DevOps insights, and new feature demosso follow us on LinkedIn if you want the inside track. This is the best way to differentiate yourself and perform strongly in the interview, because itll give you a deeper grasp of our product and company vision.What We ExpectResourceful Problem-Solving: A “figure it out and make it happen” mindsetAdaptability: Thrive in a lean environment where shifting priorities and quick pivots are commonEagerness to Learn: Stay current with AI/ML trends and keep pushing boundariesHow to ApplySend your resume or portfolio, highlighting innovations / hackathons experience, github & open-source contributions, or notable AI/ML projects. We’re excited to see what you can do!

AutonomOps AI is a fast-growing startup building multi-AI agent systems that revolutionize Ops with LLM-driven capabilities. We need a 10x UI Engineer proficient in React, Next.js, and TypeScripteager to craft cutting-edge experiences in a fast-paced environment. If you love building pixel perfect UI for web and mobile, value TDD, and enjoy learning new technologies quickly, this role is for you. Hackathon enthusiasm and open-source contributions are strongly valued.ResponsibilitiesReact & Next.js Development: Build responsive, high-performance user interfaces using React (18+) and Next.js (14+) with TypeScript, Tailwind CSS, and ChakraUI.TDD & Code Quality: Practice test-driven development, writing robust unit, integration, and snapshot tests (Jest, React Testing Library, or Cypress).Cross-Platform Integration: Occasionally adapt the codebase for iOS using Capacitor, enabling a unified web + mobile experience.Collaboration with Microservices: Integrate seamlessly with Python/Java backends, ensuring efficient data flows and consistent user experiences.Performance & Observability: Optimize page load, responsiveness, and incorporate Observability metrics/logs (Datadog, Splunk, Prometheus) to monitor user-impact.Innovation & Growth: Participate in hackathons or open-source communities, constantly exploring new libraries and frameworks.Tech Stack & SkillsCore: React 18, Next.js 14, TypeScript, Tailwind CSS, ChakraUITesting: Jest, React Testing Library, CypressCI/CD: Docker, Kubernetes, Jenkins, GitHub ActionsMobile: Capacitor (for iOS), basic Xcode knowledgeBonus: Observability (Datadog, Splunk, Prometheus, Grafana), hackathon or open-source experienceQualificationsExperience: 2-5 years in front-end or full-stack developmentSkills: Strong React & Next.js fundamentals, TypeScript proficiency, and an eye for clean UXMindset: Comfortable iterating rapidly, pivoting quickly, and taking ownership in a lean startupTeamwork: Excellent communication and collaboration skillsWhat We ExpectResourceful Problem-Solving: A figure it out and make it happen mindsetAdaptability: Thrive in a lean environment where shifting priorities and quick pivots are commonEagerness to Learn: Stay current with AI/ML trends and keep pushing boundariesLooking to Differentiate Yourself?Peek at our LinkedIn posts - Latest Product Launch (https://lnkd.in/gdEGfzjC) and Industry Feature (https://bit.ly/4hHtEoR) to see how were pioneering multi-AI agent solutions for Observability. We regularly post about AI breakthroughs, DevOps insights, and new feature demosso follow us on LinkedIn if you want the inside track. This is the best way to differentiate yourself and perform strongly in the interview, because itll give you a deeper grasp of our product and company vision.How to ApplySend your resume or portfolio, highlighting innovations / hackathons experience, GitHub & open-source contributions, or notable UI/UX projects. We’re excited to see what you can do!