DevOps Engineer

Ascentt is building cutting-edge data analytics & AI/ML solutions for global automotive and manufacturing leaders. We turn enterprise data into real-time decisions using advanced machine learning and GenAI. Our team solves hard engineering problems at scale, with real-world industry impact. We’re hiring passionate builders to shape the future of industrial intelligence. Job Description (Summary of Responsibilities): · Cloud Infrastructure Management: Design, implement, and manage cloud-based infrastructure on AWS and Azure, ensuring optimal scalability, performance, and security. · CI/CD Pipeline Development: Develop and maintain CI/CD pipelines using GitHub Actions for automated code deployments and testing. · System Monitoring and Incident Management: · Implement and configure Datadog for comprehensive system monitoring. · Develop and maintain Datadog dashboards to visualize system performance and metrics. · Set up proactive alerts in Datadog to detect and respond to incidents swiftly, ensuring high system reliability and uptime. · Conduct root cause analysis of incidents and implement corrective actions using Datadog insights. · Collaboration with AI Teams: Work closely with AI teams to support the operational aspects of LLMs, including deployment strategies and performance tuning. · Infrastructure as Code (IaC): Implement IaC using tools like Terraform or AWS CloudFormation to automate infrastructure provisioning and management. · Container Orchestration: Manage container orchestration systems such as Kubernetes or AWS ECS. · Operational Support for LLMs: Provide operational support for LLMs, focusing on performance optimization and reliability. · Scripting and Automation: Utilize scripting languages such as Python and Bash for automation and task management. · Security and Compliance: Ensure compliance with security standards and best practices, implementing robust security measures. · Documentation: Document system configurations, procedures, and best practices for internal and external stakeholders. · DevOps Collaboration: Work with development teams to optimize deployment workflows, introduce best practices for DevOps, and improve overall efficiency. · Technology and Industry Awareness: Stay up-to-date with emerging technologies and industry trends to suggest improvements and upgrades. Qualifications and Skills Required: · Extensive experience with AWS and Azure cloud platforms. · Proficiency in developing CI/CD pipelines using GitHub Actions. · Strong experience with Datadog for system monitoring, including implementation, configuration, and maintenance. · Demonstrated ability to create and maintain Datadog dashboards for performance visualization. · Proven expertise in setting up alerts and conducting incident response with Datadog. · Hands-on experience with container orchestration systems such as Kubernetes or AWS ECS. · Proficiency in Infrastructure as Code (IaC) tools like Terraform or AWS CloudFormation. · Familiarity with operational aspects of Large Language Models (LLMs) is highly desirable. · Strong scripting skills in Python, Bash, or similar languages. · In-depth knowledge of security standards and best practices. · Proven ability to work collaboratively with development and AI teams. · Commitment to staying current with industry trends and emerging technologies #J-18808-Ljbffr