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 Git Hub 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 Cloud Formation 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.

· Dev Ops

Collaboration:

Work with development teams to optimize deployment workflows, introduce best practices for Dev Ops, 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 Git Hub 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 Cloud Formation.

· 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