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Cerebras SystemsCerebras SystemsSunnyvale, CA

Sr. Member of Technical Staff

Develops resilient, high-availability software for AI inference on AWS, including deployment workflows, container orchestration with Docker/Kubernetes, monitoring, and debugging. Requires Master's in CS and 18 months experience with AWS services, IaC tools, and Python.

230k – 250k
HybridDevOps / SRE

About the role

Job Duties

  • Design and develop software features that support system resiliency and high availability, including automated recovery mechanisms and fault-tolerant architecture across distributed environments.
  • Develop and maintain cloud-based deployment workflows for AI inference software using AWS tools and services to support low-latency and scalable system performance.
  • Develop Python-based scripts and APIs to streamline data preprocessing, inference execution, and post-processing for real-time inference tasks.
  • Use parallel programming techniques (e.g., multi-threading, asynchronous processing) to maximize resource efficiency on AWS compute instances.
  • Develop software components to support visualization and analysis of system performance metrics, enhancing the monitoring and usability of inference services.
  • Develop inference software in Docker containers and define Kubernetes orchestration strategies that ensure software reliability and efficient scaling.
  • Develop automated scripts to detect and mitigate common failure modes, improving software system reliability.
  • Debug issues related to model deployment, container orchestration, networking configurations, documenting steps to reproduce and root-cause defects.
  • Triage and resolve defects in the software service by analyzing logs, metrics, and distributed traces using tools like AWS CloudWatch, Grafana, or custom Python scripts.
  • Work with product management and user experience teams to define requirements for inference service interfaces, including configuration, monitoring, and event logging.
  • Author detailed technical documentation for infrastructure configurations, inference workflows, and APIs, ensuring clarity for internal teams and external customers.
  • Document and track defects, enhancements, and release notes using tools like Jira and Git, ensuring version control and traceability.

Minimum Requirements

  • Master’s degree or foreign equivalent in Computer Science or related field.
  • 18 months experience as Information Security Analyst, Software Engineer, Sr. Member of Technical Staff, IT Senior Applications Engineer, or related.
  • Infrastructure-as-Code and deployment automation: Terraform, AWS CloudFormation, AWS CDK, Ansible.
  • Containerization and orchestration: Docker, Kubernetes, AWS EKS, AWS ECS, AWS Fargate, Helm.
  • Compute and serverless services: AWS EC2, AWS Lambda, Auto Scaling Groups.
  • Monitoring, logging, distributed tracing: AWS CloudWatch, AWS X-Ray, ELK (Elasticsearch, Logstash, Kibana), Prometheus, Grafana.
  • Programming languages and frameworks: Python, Node.js, JavaScript, Flask.
  • Data storage and caching: PostgreSQL, Redis, NFS.
  • CI/CD and version control: Jenkins, Git.

Compensation

  • Salary: $230,000 - $250,000 per year

Skills

PythonDockerKubernetesAWSTerraformAws CloudformationAws CdkAnsibleAws EksAws EcsAws FargateHelmAws Ec2AWS LambdaAws Cloudwatch

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