NeuroHire

DevOps Engineer

• Assist in monitoring the availability, performance, and reliability of applications, services, and infrastructure.
• Support the maintenance and optimization of cloud-based environments using AWS, Microsoft Azure, or Google Cloud Platform (GCP).
• Monitor system health, application performance, resource utilization, and service availability.
• Assist in identifying, troubleshooting, and resolving infrastructure, application, and production-related issues.
• Develop automation scripts using Python, Bash, or Shell scripting to reduce repetitive operational tasks.
• Work with Linux-based systems and command-line tools to manage and troubleshoot infrastructure.
• Support the implementation and maintenance of monitoring, logging, and alerting solutions.
• Collaborate with DevOps and software engineering teams to improve deployment reliability and system performance.
• Assist in managing CI/CD pipelines and supporting automated deployment workflows.
• Participate in incident investigation, root cause analysis, and documentation of technical issues.
• Support infrastructure automation using tools such as Terraform or Ansible.
• Work with containerization technologies such as Docker and Kubernetes.
• Assist in maintaining system security, access controls, backups, and operational best practices.
• Maintain technical documentation for system configurations, monitoring procedures, and incident resolution.
• Contribute to improving system scalability, fault tolerance, and operational efficiency.

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Site Reliability Engineer

AI Engineer

• Design, develop, test, and maintain software applications incorporating AI-powered features and intelligent automation.
• Write clean, efficient, reusable, and maintainable code using Python, Java, or JavaScript.
• Integrate machine learning models and AI services into software applications.
• Develop and integrate REST APIs connecting AI models, backend services, and application components.
• Work with TensorFlow, PyTorch, Scikit-learn, LLMs, generative AI, and NLP technologies.
• Build AI-powered workflows, automation tools, and intelligent application features.
• Work with structured and unstructured datasets to support AI model development and application functionality.
• Collaborate with software engineers, data scientists, and cross-functional teams to improve application performance and AI integration.
• Debug, test, and troubleshoot software applications and AI-related functionality.
• Use SQL and databases to store, retrieve, and manage application data.
• Use Git and GitHub for version control and collaborative development.
• Participate in code reviews, technical discussions, and software development activities.
• Stay updated with emerging AI technologies, software engineering practices, and machine learning advancements.

Explore Software AI Engineer at NeuroHire. Review requirements and application details.

Open roles

Site Reliability Engineer

Software AI Engineer