3 Monitoring Practices Jobs

As a crucial member of the team, you will play a pivotal role in various machine learning initiatives, contributing to the development of conversational AI bots, RAG system, and traditional ML problem-solving for the observability platform. Your responsibilities will involve both operational and engineering tasks such as building production-ready inference pipelines, deploying and versioning models, and implementing continuous validation processes. Within the LLM domain, you will be tasked with fine-tuning generative AI models, designing agentic language chains, and prototyping recommender system experiments. This role offers you the opportunity to significantly impact AI-driven solutions in diverse domains, pushing the boundaries of machine learning and embracing diverse challenges along the way. To excel in this position, you should demonstrate proficiency in software engineering design practices, experience with transformer models and text embeddings, a track record of deploying and managing ML models in production environments, and familiarity with common ML/NLP libraries like PyTorch, Tensorflow, HuggingFace Transformers, and SpaCy. You should have over 5 years of experience developing production-grade applications in Python, proficiency in Kubernetes and containers, and familiarity with concepts/libraries such as sklearn, kubeflow, argo, and seldon. Expertise in Python, C++, Kotlin, or similar programming languages, along with experience in designing, developing, and testing scalable distributed systems, is essential. Moreover, knowledge of message broker systems (e.g., Kafka, RabbitMQ), application instrumentation and monitoring practices, ML workflow management tools like AirFlow and Sagemaker, and fine-tuning generative AI models for enhanced performance will be valuable. Designing AI Agents for conversational AI applications, experimenting with new techniques for observability use cases, building and maintaining inference pipelines, managing deployment and model versioning pipelines, and developing tooling for continuous model validation in production environments are key aspects of this role. Bonus points will be awarded if you have familiarity with the AWS ecosystem or past experience working on projects involving the construction of agentic language chains. Please note that visa sponsorship is not available for this position. At our company, fostering a diverse, welcoming, and inclusive environment is a priority. We encourage individuals from different backgrounds and abilities to bring their authentic selves to work, celebrating the diverse paths that brought them to us. Our mission is to create the best products and company possible, inspired by the unique experiences and perspectives of our team members. We value candidates who connect with our mission and values beyond just meeting requirements. If you need a reasonable accommodation during the application or recruiting process, please contact resume@newrelic.com. We believe in empowering all team members to achieve success through a flexible workforce model that supports various work environments, including fully office-based, fully remote, or hybrid setups. As part of our hiring process, all hires must verify identity and eligibility to work, including completing employment eligibility verification. A criminal background check is required due to our responsibility for safeguarding customer data. Qualified applicants with arrest and conviction records will be considered based on individual circumstances and applicable laws. For more information, review our Applicant Privacy Notice at https://newrelic.com/termsandconditions/applicant-privacy-policy.,

The Architect Site Reliability Engineering plays a crucial role in providing technical leadership to support initiatives in cloud computing at Inspire. With a primary focus on enhancing efficiency, reducing toil, and increasing uptime and availability of Inspire's cloud platforms, you will collaborate with peers to influence cloud application and infrastructure design, improve production readiness reviews, streamline build/test/release automation, elevate observability practices, and fortify platform resiliency, scalability, and recovery capabilities. Your success in this role will stem from your ability to engage with diverse technical partners, employ data-driven problem-solving approaches, demonstrate self-motivation, and exhibit a commitment to continuous improvement. In this position, your responsibilities will include: - Involvement in the entire application and cloud services development lifecycle, from inception to refinement, ensuring well-designed and monitored software releases in collaboration with application and platform teams. - Designing, motivating, guiding, and supporting the development of software, systems, and processes to enhance product reliability, organizational efficiency, and resource optimization. - Advocating for reliability practices across the software development lifecycle through activities like architecture reviews, code reviews, platform creation, and capacity planning. - Collaborating with senior engineering and testing team members to develop tools and recommend testing strategies for problem prevention, detection, and chaos testing. - Enhancing SRE practices by establishing error budgets, refining SRE dashboards, and improving anomaly detection capabilities. - Providing design recommendations for platform enhancements based on production incident analysis and root cause investigations. - Improving service reliability through blameless post-incident reviews and leveraging automation tools to respond to or prevent future issues. - Identifying automation opportunities, designing tools, and supporting their implementation to automate routine, time-consuming, or manual tasks. - Periodically evaluating current SRE practices and tools to suggest enhancements and improvements. - Training, guiding, and mentoring teammates on SRE practices and principles. - Developing strategies to ensure infrastructure scalability and elasticity, along with code-level debugging for escalated issues. To be successful in this role, you should have: - A minimum of 8 years of experience as a platform architect with expertise in containers, deployment architecture, benchmarking, design, and network engineering. - At least 4 years of combined experience in DevOps, SRE, Systems, and/or software development roles. - Hands-on experience in establishing and maturing SRE practices, programs, and roadmaps. - Extensive knowledge of public cloud technologies, particularly Azure, and cloud-native architectures. - Proficiency in Infrastructure-as-Code (IAC), DevOps, and CI/CD practices and tools like Terraform, Gitlab, ArgoCD, and Jenkins. - Familiarity with configuration management tools such as Ansible, Chef, and Packer. - Expertise in container technology and orchestration, including Kubernetes and Docker. - Experience with Observability and Monitoring practices and tools like OpenTelemetry, New Relic, Prometheus, Grafana, and more. - Deep understanding of microservice architectures, application servers, networks, and databases. - Excellent grasp of scalability processes and techniques. - Strong communication and collaboration skills, with the ability to understand and improve complex systems. In summary, this role requires a dedicated professional with a strong technical background, a proactive approach to problem-solving, and a commitment to enhancing reliability and efficiency across cloud platforms. If you are someone who thrives in a dynamic and collaborative environment, excels in technical challenges, and is passionate about driving continuous improvement, this opportunity at Inspire may be the perfect fit for you.,

An Infection Control Nurse (ICN) develops, implements, and manages infection prevention and control programs within healthcare facilities . Their primary role is to minimize the risk of infections among patients, staff, and visitors by establishing and enforcing infection control policies and procedures, educating staff on best practices, and investigating and managing outbreaks. Role & responsibilities Carries out surveillance through regular contact with all hospital departments, particularly those providing patient care . During hospital rounds, should collect & maintain Various data related to dates and details of various Patients. Various data is then analyzed and interpreted together with the microbiologist. Preferred candidate profile A strong infection control nurse candidate profile will highlight expertise in infection prevention and control practices, strong analytical and communication skills, and experience in data analysis, surveillance, and education . They should also be knowledgeable about relevant guidelines like NABH and be able to investigate and manage outbreaks.